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A leading consulting firm is seeking a Senior Software Architect to redefine audit work through a cloud-native platform. You will drive architectural decisions, collaborate with product and engineering leaders, and promote AI usage in development. The ideal candidate has over 12 years of experience with the Microsoft technology stack and a deep understanding of Agile methodologies. This role is based in Washington, D.C., offering remote options.
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A top national professional services firm is seeking an Audit Manager or Director to join their Central Wisconsin team, which includes Eau Claire and surrounding areas. This role involves planning and supervising audit engagements and managing a team. Applicants should have a Bachelor's in Accounting or Finance, a CPA license, and 6+ years of public accounting experience. The firm offers flexible PTO, paid parental leave, mental health coverage, and other benefits to promote employee well-being.
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Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities:

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.


• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.


• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.


• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.


• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.


• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.


• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.


• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.


• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.


• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Requirements:

• A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.


• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.


• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).


• Experience with multimodal data processing (e.g., combining text, image, and 3D data).


• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.


• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.


• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).


• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.


• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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We are seeking a highly experienced and hands-on Principal Solution Architect to join Acxiom’s Data & AI Consulting practice. This role is central to delivering enterprise‑scale marketing transformation programs, with a focus on building modern marketing data platforms, enabling campaign execution, and structuring customer data for activation and measurement.

You will lead the design and implementation of end‑to‑end marketing data ecosystems spanning data ingestion, modeling, identity‑aware customer data design, campaign orchestration, and measurement. This includes establishing scalable data foundations (Snowflake, Databricks), defining how data supports real marketing workflows, and ensuring it is usable for both BI and AI‑driven use cases.

This is not a generic enterprise architecture role. Success requires a deep understanding of how marketing operates in practice, including campaign execution, audience targeting, suppression logic, and measurement frameworks, and the ability to translate that into practical, production‑ready architectures.

You will operate at the intersection of strategy and execution, working closely with cross‑functional teams and client stakeholders to align business ambition with technical reality, guide implementation, and drive outcomes in complex, evolving environments.

THIS POSITION IS NOT ELIGIBLE FOR ANY SORT OF SPONSORSHIP

What You Will Do

Engagement & Solution Leadership

• Serve as the solution architecture lead across the full platform lifecycle: discovery, design, and implementation.
• Partner with strategy leads to translate business goals into technical architectures and executable roadmaps.
• Lead client working sessions to define requirements around campaign workflows, operational dependencies, customer data models, metadata structures, and identity‑aware audience frameworks.
• Ensure alignment between business use cases and technical feasibility, offering pragmatic alternatives when needed.

Marketing Data Architecture & Modeling

• Design and own end‑to‑end marketing data architecture, including:
• Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold).
• Customer and campaign data models.
• Metadata and taxonomy frameworks.

Define

• Data grain, conformance logic, and key joins.
• KPI logic and aggregation strategies.
• Source‑to‑target mappings and field‑level definitions.
• Translate ambiguous business definitions into clear, scalable data structures and SQL logic.
• Design customer data models that support identity stitching, audience persistence, and cross‑channel activation.
• Ensure data models are traceable, repeatable, and production‑ready.

Platform & Integration Architecture

Define solution blueprints across modern marketing ecosystems, including:

• Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Cloud ecosystems (AWS, Azure, GCP).
• CDPs and activation platforms (Adobe, Salesforce, Hightouch, LiveRamp).
• Clean rooms and CAPI integrations.

Design integrations across: CRM systems, campaign platforms, media data, and operational systems.

Ensure architecture aligns with:

• Privacy, governance, and compliance requirements.
• Performance, scalability, and cost considerations.

Implementation & Delivery Leadership

Lead architecture through build and deployment phases, ensuring:

• Designs translate into production‑ready solutions.
• Data pipelines and models are correctly implemented.
• QA, validation, and reconciliation processes are in place.

Guide engineering teams and client stakeholders through:

• Technical decision‑making.
• Issue resolution and trade‑offs.
• Own delivery milestones and ensure successful translation of design into production‑ready infrastructure.
• Navigate incomplete or evolving requirements by structuring delivery sequencing and minimizing rework.

Marketing Enablement & Measurement

Ensure data and platform design supports:

• Campaign execution workflows (batch, triggered, omnichannel).
• Audience targeting, suppression, and personalization.
• Measurement frameworks (attribution, incrementality, lift).

Design data structures that enable:

• BI reporting.
• AI/ML use cases (e.g., propensity, optimization, scenario planning, emerging AI‑driven workflows).

Ensure alignment between campaign design, data availability, and measurement outputs to avoid downstream rework.

Practice Leadership & Growth

• Contribute to practice development, including reusable architecture patterns/frameworks, delivery standards and best practices.
• Support pre‑sales by shaping solution approaches, estimating effort and defining delivery models.
• Mentor junior architects and engineers.

What You Will Have

• 8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer data.
• Proven experience delivering end‑to‑end solutions (not just designing, but implementing).

Deep expertise in

• Marketing data ecosystems and campaign workflows.
• Cloud data platforms (Snowflake, Databricks, etc.).
• Data modeling and transformation (SQL‑heavy environments).

Strong understanding of:

• Campaign execution, audience targeting, and suppression logic.
• Marketing measurement frameworks (attribution, lift, etc.).
• Experience working with identity resolution and customer data frameworks (e.g., ID stitching, audience persistence, or partner integrations).
• Experience with multi‑layer data architectures (Bronze/Silver/Gold).
• Source‑to‑target mappings, ERDs, data dictionaries, and KPI definitions.
• Complex metric calculations (from a data perspective).

Ability to:

• Translate business ambiguity into structured technical solutions.
• Communicate architecture clearly to both technical and non‑technical stakeholders.
• Strong familiarity with Martech ecosystem (CDPs, CRM, campaign platforms) and data governance and privacy considerations.

Nice to Have

• Experience in consulting or professional services.
• Experience in regulated industries (financial services, healthcare, automotive).
• Familiarity with clean rooms and data collaboration environments.
• Advanced measurement (incrementality testing, MMM inputs).
• AI/ML enablement within marketing use cases.

Primary Location City/State

Home‑based – Conway, Arkansas

Equal Opportunity Statement

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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A leading logistics provider in Phoenix is seeking a Senior Solution Architect to enhance their Drop Trailer team. This role involves designing scalable solutions while ensuring operational efficiency and cost effectiveness. Ideal candidates should have a Bachelor’s degree and over 5 years in supply chain or transportation solutions. You will work across departments including Pricing and Procurement to align solutions with market realities. The compensation range is $72,900 - $153,700 annually, plus top-tier benefits.
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A leading financial services company is seeking a Senior Director of Data Analysis to manage a team of data scientists and analysts in a remote work environment. This role requires a strong background in data analytics, leadership experience, and the ability to tackle significant business challenges strategically. Ideal candidates will have over 10 years of experience in data analytics, with at least 6 years in a managerial role. This position offers competitive compensation and the chance to shape innovative data solutions.
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A leading data solutions provider is seeking a Principal Solution Architect to enhance its Data & AI Consulting practice. This role will lead design and implementation of marketing data ecosystems, focusing on data ingestion, modeling, and campaign execution. Candidates should have 8+ years of experience in solution architecture with strong expertise in marketing workflows and data modeling. The position operates remotely from Ohio, requiring close collaboration with cross-functional teams to align business and technical goals.
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A leading financial services company is seeking a Senior Director of Data Analysis to lead a data team in a remote setting. The successful candidate will have at least 10 years of experience in data analytics, including team leadership and strong analytical capabilities. Responsibilities include managing business intent delivery and driving data strategies to impact business results significantly. This position offers competitive salary and comprehensive benefits.
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Overview

The US Oncology Network is looking for a Senior Solution Architect to join our team at Texas Oncology. This is a remote role and requires the candidate to reside within Texas. As a part of the US Oncology Network, Texas Oncology delivers high-quality, evidence-based care to patients close to home. Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 280+ sites across Texas. Our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis.

US Oncology Network is one of the nation’s largest networks of community-based oncology physicians dedicated to advancing cancer care in America. It is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care.

Role Overview

The Solution Architect is a senior individual contributor role responsible for translating business, clinical, and technical requirements into cohesive, secure, and scalable solution designs across Texas Oncology. This role owns solution-level architecture for assigned initiatives, ensuring designs align with enterprise architecture standards, support long-term platform strategy, and are feasible to build and operate at scale. Providing hands‑on technical leadership, the Solution Architect guides system integration, data flows, application design, and non‑functional requirements while enabling delivery teams to execute effectively.

Responsibilities

Solution Architecture & Design Ownership

• Own end-to-end solution architecture for assigned initiatives, including application, integration, and data design.


• Translate business and clinical requirements into logical and physical architecture designs.


• Define non‑functional requirements including security, scalability, performance, resilience, and supportability.

Enterprise Architecture Alignment

• Ensure solution designs align with enterprise standards, architecture principles, and strategic roadmaps.


• Partner with Enterprise Architects on platform selection, reuse, and technology tradeoffs.


• Document architecture decisions, assumptions, and rationale.

Delivery & Implementation Enablement

• Provide technical guidance to delivery teams during build, integration, testing, and deployment.


• Review detailed designs and implementation artifacts for architectural compliance.


• Support production readiness, go‑live planning, and handoff to operations.

Stakeholder & Vendor Collaboration

• Partner with analysts, product owners, and IT Project Managers to ensure clarity of intent and feasibility.


• Engage with vendors and implementation partners to ensure solutions meet design expectations.


• Communicate architectural concepts and tradeoffs to technical and non‑technical stakeholders.

Governance & Continuous Improvement

• Participate in architecture reviews and governance forums.


• Identify opportunities to improve patterns, standards, and reusable assets.


• Contribute to maturation of solution architecture practices across IT.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.


• 8–10 years of experience in solution architecture or senior‑level systems design roles.


• Strong experience designing enterprise applications, integrations, and data flows.


• Demonstrated ability to balance business needs with technical and architectural constraints.

Preferred Qualifications

• Healthcare IT or regulated‑industry experience.


• Experience with cloud, integration platforms, and enterprise data environments.


• Skilled in modern architecture patterns and SDLC methodologies.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by this job include ability to adjust focus. Requires vision and hearing corrected to normal range.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. Work is performed in an office environment. Involves frequent interaction with corporate and field staff, as well as external customers and contacts. Work may require some travel by air or automobile. Fantastic time‑management skills with the ability to multi‑task.

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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!

Your opportunity

As the Director of Strategic Cloud Partnerships at New Relic, you will lead New Relic's relationships with AWS, Microsoft Azure, and Google Cloud. This is a high-impact role that combines business development with complex commercial negotiation and go-to-market leverage. Reporting to the VP, Ecosystem and Strategic Partnerships, you will be the primary architect of these partnerships, ensuring that our cloud infrastructure spend translates into strategic leverage, better margins, and accelerated market growth.

What you'll do

Strategic Partner Management

• Partnership Strategy: Define and evolve the strategy for how New Relic wins with AWS, Azure, and GCP.
• Execution Alignment: Serve as the primary face of New Relic to cloud partner leadership; lead QBRs and Executive Briefing sessions to ensure top-to-bottom alignment.
• Joint Business Plan and GTM Integration: Lead the annual global business plans; partner with Sales and Marketing to ensure our cloud relationships are fueling our co-sell engine and market expansion. Lead the development of Better-Together content, use cases, and customer win stories.
• Cross-Functional Leadership: Orchestrate a "One New Relic" approach across Product, Engineering, and Marketing to ensure we are building for and selling with the hyperscaler's latest innovations.
• Performance Governance: Establish operating cadences and dashboards to track the health, funding, and strategic impact of each partnership.

Commercial Negotiations & Cloud Spend Oversight

• Strategic Negotiations: Lead the commercial negotiations of major cloud agreements and GTM partnership agreements.
• Spend Management: Maintain a deep understanding of our cloud infrastructure costs and consumption patterns to inform negotiation strategy and commercial terms.
• Financial Partnership: Work closely with FinOps and Finance to review cost models and consumption forecasts, ensuring our contracts reflect business needs.

Who You Are

• A Strategic Orchestrator: You excel at moving organizations towards a shared goal. You know how to navigate the large complex organizations of the hyperscalers to get executive sponsorship and get things done.
• GTM Minded: You understand how cloud marketplaces and co-sell programs work to accelerate New Relic revenue.
• Commercially Sharp: You have "deal teeth." You understand the levers of a cloud contract and how to work for New Relic's interests during negotiations.

This role requires

• 10+ years in Cloud Partner Management, Business Development, or Product Management.
• Cloud Knowledge: Deep understanding of the cloud ecosystem (AWS, Azure, GCP) and the SaaS market.
• Negotiation Track Record: Proven experience leading the negotiation of at least one major cloud agreement.
• Ability to Execute: Proven ability to translate strategic objectives into executable plans with strong analytical and project management skills.

Bonus points if you have

• Knowledge of observability, AI, and Agentic AI.

Please note that visa sponsorship is not available for this position.

The pay range below represents a reasonable estimate of salary for the listed position. This role may be eligible for the corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.

New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, 11 paid holidays, volunteer time off, paid time‑off, and other competitive benefits designed to improve the lives of our employees.

$202,000 — $272,000 USD

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us - including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third‑party agency or company that does not have a signed agreement with New Relic.

New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

Review our Applicant Privacy Notice at

Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.

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We are seeking a highly experienced and hands-on Principal Solution Architect to join Acxiom’s Data & AI Consulting practice. This role is central to delivering enterprise‑scale marketing transformation programs, with a focus on building modern marketing data platforms, enabling campaign execution, and structuring customer data for activation and measurement.

You will lead the design and implementation of end‑to‑end marketing data ecosystems spanning data ingestion, modeling, identity‑aware customer data design, campaign orchestration, and measurement. This includes establishing scalable data foundations (Snowflake, Databricks), defining how data supports real marketing workflows, and ensuring it is usable for both BI and AI‑driven use cases.

This is not a generic enterprise architecture role. Success requires a deep understanding of how marketing operates in practice, including campaign execution, audience targeting, suppression logic, and measurement frameworks, and the ability to translate that into practical, production‑ready architectures.

You will operate at the intersection of strategy and execution, working closely with cross‑functional teams and client stakeholders to align business ambition with technical reality, guide implementation, and drive outcomes in complex, evolving environments.

THIS POSITION IS NOT ELIGIBLE FOR ANY SORT OF SPONSORSHIP

What You Will Do

Engagement & Solution Leadership

• Serve as the solution architecture lead across the full platform lifecycle: discovery, design, and implementation.
• Partner with strategy leads to translate business goals into technical architectures and executable roadmaps.
• Lead client working sessions to define requirements around campaign workflows, operational dependencies, customer data models, metadata structures, and identity‑aware audience frameworks.
• Ensure alignment between business use cases and technical feasibility, offering pragmatic alternatives when needed.

Marketing Data Architecture & Modeling

• Design and own end‑to‑end marketing data architecture, including:
• Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold).
• Customer and campaign data models.
• Metadata and taxonomy frameworks.

Define

• Data grain, conformance logic, and key joins.
• KPI logic and aggregation strategies.
• Source‑to‑target mappings and field‑level definitions.
• Translate ambiguous business definitions into clear, scalable data structures and SQL logic.
• Design customer data models that support identity stitching, audience persistence, and cross‑channel activation.
• Ensure data models are traceable, repeatable, and production‑ready.

Platform & Integration Architecture

Define solution blueprints across modern marketing ecosystems, including:

• Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Cloud ecosystems (AWS, Azure, GCP).
• CDPs and activation platforms (Adobe, Salesforce, Hightouch, LiveRamp).
• Clean rooms and CAPI integrations.

Design integrations across: CRM systems, campaign platforms, media data, and operational systems.

Ensure architecture aligns with:

• Privacy, governance, and compliance requirements.
• Performance, scalability, and cost considerations.

Implementation & Delivery Leadership

Lead architecture through build and deployment phases, ensuring:

• Designs translate into production‑ready solutions.
• Data pipelines and models are correctly implemented.
• QA, validation, and reconciliation processes are in place.

Guide engineering teams and client stakeholders through:

• Technical decision‑making.
• Issue resolution and trade‑offs.
• Own delivery milestones and ensure successful translation of design into production‑ready infrastructure.
• Navigate incomplete or evolving requirements by structuring delivery sequencing and minimizing rework.

Marketing Enablement & Measurement

Ensure data and platform design supports:

• Campaign execution workflows (batch, triggered, omnichannel).
• Audience targeting, suppression, and personalization.
• Measurement frameworks (attribution, incrementality, lift).

Design data structures that enable:

• BI reporting.
• AI/ML use cases (e.g., propensity, optimization, scenario planning, emerging AI‑driven workflows).

Ensure alignment between campaign design, data availability, and measurement outputs to avoid downstream rework.

Practice Leadership & Growth

• Contribute to practice development, including reusable architecture patterns/frameworks, delivery standards and best practices.
• Support pre‑sales by shaping solution approaches, estimating effort and defining delivery models.
• Mentor junior architects and engineers.

What You Will Have

• 8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer data.
• Proven experience delivering end‑to‑end solutions (not just designing, but implementing).

Deep expertise in

• Marketing data ecosystems and campaign workflows.
• Cloud data platforms (Snowflake, Databricks, etc.).
• Data modeling and transformation (SQL‑heavy environments).

Strong understanding of:

• Campaign execution, audience targeting, and suppression logic.
• Marketing measurement frameworks (attribution, lift, etc.).
• Experience working with identity resolution and customer data frameworks (e.g., ID stitching, audience persistence, or partner integrations).
• Experience with multi‑layer data architectures (Bronze/Silver/Gold).
• Source‑to‑target mappings, ERDs, data dictionaries, and KPI definitions.
• Complex metric calculations (from a data perspective).

Ability to:

• Translate business ambiguity into structured technical solutions.
• Communicate architecture clearly to both technical and non‑technical stakeholders.
• Strong familiarity with Martech ecosystem (CDPs, CRM, campaign platforms) and data governance and privacy considerations.

Nice to Have

• Experience in consulting or professional services.
• Experience in regulated industries (financial services, healthcare, automotive).
• Familiarity with clean rooms and data collaboration environments.
• Advanced measurement (incrementality testing, MMM inputs).
• AI/ML enablement within marketing use cases.

Primary Location City/State

Home‑based – Conway, Arkansas

Equal Opportunity Statement

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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A leading technology company is seeking a Head of Data Science for Cloud Marketing to define and execute the strategic roadmap for data science initiatives. The role involves managing a team of data scientists to build scalable AI/ML capabilities that enhance customer engagement and optimize marketing strategies. Applicants should have a Master's degree and extensive experience in analytics, machine learning, and team leadership. This full-time position offers a competitive salary range of $240,000-$334,000 plus bonuses and benefits.
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We are seeking a highly experienced and hands-on Principal Solution Architect to join Acxiom’s Data & AI Consulting practice. This role is central to delivering enterprise‑scale marketing transformation programs, with a focus on building modern marketing data platforms, enabling campaign execution, and structuring customer data for activation and measurement.

You will lead the design and implementation of end‑to‑end marketing data ecosystems spanning data ingestion, modeling, identity‑aware customer data design, campaign orchestration, and measurement. This includes establishing scalable data foundations (Snowflake, Databricks), defining how data supports real marketing workflows, and ensuring it is usable for both BI and AI‑driven use cases.

This is not a generic enterprise architecture role. Success requires a deep understanding of how marketing operates in practice, including campaign execution, audience targeting, suppression logic, and measurement frameworks, and the ability to translate that into practical, production‑ready architectures.

You will operate at the intersection of strategy and execution, working closely with cross‑functional teams and client stakeholders to align business ambition with technical reality, guide implementation, and drive outcomes in complex, evolving environments.

THIS POSITION IS NOT ELIGIBLE FOR ANY SORT OF SPONSORSHIP

What You Will Do

Engagement & Solution Leadership

• Serve as the solution architecture lead across the full platform lifecycle: discovery, design, and implementation.
• Partner with strategy leads to translate business goals into technical architectures and executable roadmaps.
• Lead client working sessions to define requirements around campaign workflows, operational dependencies, customer data models, metadata structures, and identity‑aware audience frameworks.
• Ensure alignment between business use cases and technical feasibility, offering pragmatic alternatives when needed.

Marketing Data Architecture & Modeling

• Design and own end‑to‑end marketing data architecture, including:
• Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold).
• Customer and campaign data models.
• Metadata and taxonomy frameworks.

Define

• Data grain, conformance logic, and key joins.
• KPI logic and aggregation strategies.
• Source‑to‑target mappings and field‑level definitions.
• Translate ambiguous business definitions into clear, scalable data structures and SQL logic.
• Design customer data models that support identity stitching, audience persistence, and cross‑channel activation.
• Ensure data models are traceable, repeatable, and production‑ready.

Platform & Integration Architecture

Define solution blueprints across modern marketing ecosystems, including:

• Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Cloud ecosystems (AWS, Azure, GCP).
• CDPs and activation platforms (Adobe, Salesforce, Hightouch, LiveRamp).
• Clean rooms and CAPI integrations.

Design integrations across: CRM systems, campaign platforms, media data, and operational systems.

Ensure architecture aligns with:

• Privacy, governance, and compliance requirements.
• Performance, scalability, and cost considerations.

Implementation & Delivery Leadership

Lead architecture through build and deployment phases, ensuring:

• Designs translate into production‑ready solutions.
• Data pipelines and models are correctly implemented.
• QA, validation, and reconciliation processes are in place.

Guide engineering teams and client stakeholders through:

• Technical decision‑making.
• Issue resolution and trade‑offs.
• Own delivery milestones and ensure successful translation of design into production‑ready infrastructure.
• Navigate incomplete or evolving requirements by structuring delivery sequencing and minimizing rework.

Marketing Enablement & Measurement

Ensure data and platform design supports:

• Campaign execution workflows (batch, triggered, omnichannel).
• Audience targeting, suppression, and personalization.
• Measurement frameworks (attribution, incrementality, lift).

Design data structures that enable:

• BI reporting.
• AI/ML use cases (e.g., propensity, optimization, scenario planning, emerging AI‑driven workflows).

Ensure alignment between campaign design, data availability, and measurement outputs to avoid downstream rework.

Practice Leadership & Growth

• Contribute to practice development, including reusable architecture patterns/frameworks, delivery standards and best practices.
• Support pre‑sales by shaping solution approaches, estimating effort and defining delivery models.
• Mentor junior architects and engineers.

What You Will Have

• 8+ years in solution architecture, data architecture, or platform implementation, with a strong focus on marketing and customer data.
• Proven experience delivering end‑to‑end solutions (not just designing, but implementing).

Deep expertise in

• Marketing data ecosystems and campaign workflows.
• Cloud data platforms (Snowflake, Databricks, etc.).
• Data modeling and transformation (SQL‑heavy environments).

Strong understanding of:

• Campaign execution, audience targeting, and suppression logic.
• Marketing measurement frameworks (attribution, lift, etc.).
• Experience working with identity resolution and customer data frameworks (e.g., ID stitching, audience persistence, or partner integrations).
• Experience with multi‑layer data architectures (Bronze/Silver/Gold).
• Source‑to‑target mappings, ERDs, data dictionaries, and KPI definitions.
• Complex metric calculations (from a data perspective).

Ability to:

• Translate business ambiguity into structured technical solutions.
• Communicate architecture clearly to both technical and non‑technical stakeholders.
• Strong familiarity with Martech ecosystem (CDPs, CRM, campaign platforms) and data governance and privacy considerations.

Nice to Have

• Experience in consulting or professional services.
• Experience in regulated industries (financial services, healthcare, automotive).
• Familiarity with clean rooms and data collaboration environments.
• Advanced measurement (incrementality testing, MMM inputs).
• AI/ML enablement within marketing use cases.

Primary Location City/State

Home‑based – Conway, Arkansas

Equal Opportunity Statement

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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A leading technology firm in San Francisco is searching for a Director, GTM Architect to oversee the architecture of their revenue engine. This role requires extensive Salesforce knowledge and a strong background in GTM systems. Responsibilities include architecting lead routing, data governance, and collaborating closely with technical teams. The position offers a competitive salary and a comprehensive benefits package including equity, health benefits, and flexible time-off policies.
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Sr. Director, Data Analysis - Software (Remote)

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all‑in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. In 2025 we launched Databolt, our second product.

Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.

As a Senior Director, Data at Capital One Software, you will apply your strategic and analytical skills to major business challenges. You’ll team with world‑class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

In this role, you will lead a growing team of data scientists, analysts, engineers. You will partner with people within the Software business and across the enterprise and at external agencies and platforms. Your work will drive direct and immediate business results, and your efforts will fuel the growth of Capital One Software.

General responsibilities

• Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently
• Analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics
• Strong business judgment, leadership and integrity: They should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business
• Solid people leadership experience: Ability to build and leverage the capabilities of a high‑performing team, as well as business partners across the enterprise. They should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results

This position will be in a fast‑paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Prior experience creating organization roadmaps and driving strategy/program execution.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 10 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 8 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 8 years of experience performing professional data analysis work
• At least 8 years of experience leading and developing with open source data technologies
• At least 6 years of experience managing people

Preferred Qualifications

• Master’s Degree
• 10+ years of Professional Data Analysis experience
• 6+ years of Big Data experience (AWS and Spark)
• 6+ years of cloud native (AWS) data processing experience6+ years of Process Management experience
• 6+ years of Project Management experience
• 6+ years of experience with Python
• 6+ years of Data Governance experience
• 3+ years of experience with streaming data technologies (Kafka, Flink, Spark streaming)

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $245,100 - $279,800 for Sr. Director, Data Analysis

McLean, VA: $269,600 - $307,700 for Sr. Director, Data Analysis

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website ( Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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A leading data and AI consulting firm is seeking a highly experienced Principal Solution Architect to lead the design and implementation of end-to-end marketing data ecosystems. The ideal candidate will have extensive experience in solution architecture, particularly in marketing and customer data, and a strong understanding of campaign workflows. This role involves collaboration with cross-functional teams to align technical and business strategies while ensuring successful outcomes. Knowledge of cloud platforms like Snowflake and Databricks is essential, along with proven leadership in complex environments.
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A leading cybersecurity firm in Minnesota is seeking a Director of Cyber Security Practice to drive cybersecurity capabilities supporting federal agencies. The ideal candidate will have over 10 years of experience in cybersecurity, including significant leadership roles and expertise in federal regulatory frameworks. Responsibilities include business development, team leadership, and ensuring compliance with security standards. The company offers a strong benefits package and is committed to fostering a culture of inclusion and growth.
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Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose which projects you take on and when you work.
• Competitive pay: projects are paid hourly, starting at $40+ USD per hour.
• Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well-documented analytical code.
• Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications

• 2+ years of hands‑on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).
• Fluency in English (native or bilingual level) with strong writing skills.
• A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
• Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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A leading analytical services provider in Minnesota seeks an IT Director of Artificial Intelligence (AI) to direct their AI strategy and solutions. The role entails overseeing a team that develops AI-driven solutions for operational efficiency and decision-making. Candidates should possess significant experience in AI and leadership, with a strong foundation in technical skills and data governance. The position offers a competitive salary of $100,000 per year and comprehensive benefits including 401K and tuition reimbursement.
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A leading AI development company in Michigan is seeking experienced quantitative professionals to evaluate AI-generated analyses and contribute to AI development. The role is fully remote, allows for a flexible schedule, and pays competitively, starting at $40+ per hour. Candidates should have 2+ years in a quantitative role, coding experience, and a strong grasp of statistical methods. This opportunity provides the chance to impact the future of AI systems built for quantitative reasoning.
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Rooms To Go

Equipment Operator I

Starting Salary: Starting pay $17.50 per hour

Earn $50 additional weekly bonus for working certain shifts based on location

Plus medical, dental, vision and other benefits available for associates who want them

Individual Medical Benefits starting at $10 per week

Employee discounts on Rooms To Go furniture purchases

Join our TEAM

Look around. Does it seem like we're nearly everywhere? That's because we are! With 9,500 employees and 250+ locations, Rooms To Go is one of the largest and fastest growing furniture retailers in the US. As a financially stable, 30 year old company focused on expansion, there's never been a better time to join the Rooms To Go Family. We continue to grow, which provides amazing opportunities for our team members to expand their careers.

What you'll be doing:

• Consolidate, straighten and safe movement of inventory beginning with the receiving process through the shipping process
• Operate Tugger and other equipment to consolidate, straighten and clean racks as directed
• Adhere to operational policies and procedures

What we're looking for:

• Be at least 18 years of age
• Heavy equipment operation
• Able to repeatedly lift 50 lbs.
• Able to submit to a Drug Test and Background Investigation
• Ability to bend, stand, walk for prolonged period of time
• Able to follow directions and work safely
• Capacity to learn and work in a team-oriented, fast paced environment
• Able to work in a non air-conditioned environment

This role offers:

• Weekly payroll and incentives
• Medical, dental, vision and paid Time Off
• 401(k) Retirement Plan
• Onsite health clinic
• Onsite Employee Gym
• Employee Referral Program
• Turkey Giveaway every Thanksgiving
• Employee discount on our beautiful products
• Able to work in a non-air-conditioned environment

Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws

Applicants must be authorized to work in the U.S.