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Head Of Data & Analytics Jobs in Remote, OR (NOW HIRING)

Head of AI

OR · On-site +1

Reports to: Head of Data & AI - North America * Direct reports: AI practice leadership team ... Represent the company externally through speaking, publishing, analyst briefings, and customer ...

Head of AI

OR · On-site +1

Reports to: Head of Data & AI - North America * Direct reports: AI practice leadership team ... Represent the company externally through speaking, publishing, analyst briefings, and customer ...

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Purpose of Role * Provide quality and performant data modeling and visualizations solutions to our ... Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Purpose of Role * Provide quality and performant data modeling and visualizations solutions to our ... Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

Technical Data Steward

OR · Remote

$60 - $70/hr

Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams * Assist in design and implementation data quality audits, controls, and ...

... of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

... of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Bachelor's degree with typically 5 years of relevant data management, data governance, or data analytics experience OR Master's degree with typically 3 years of relevant experience OR Typically 9 ...

Data Engineer

OR · On-site

$35 - $40/hr

Strong knowledge of data modeling, including dimensional modeling and analytical warehousing concepts. * Experience building scalable ETL/ELT pipelines and processing large datasets. * Familiarity ...

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical ...

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Showing results 1-20

Head Of Data Analytics information

See Remote, OR salary details

$33K

$81.4K

$139.9K

How much do head of data & analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for head of data & analytics in Remote, OR is $81,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $96,400.00 per year, depending on experience, location, and employer.

What does a head of data & analytics do?

A Head of Data & Analytics is responsible for overseeing an organization's data strategy, ensuring data collection, management, and analysis align with business goals. They lead data teams, develop analytics frameworks, and implement technologies to drive data-driven decision-making. Their role also includes ensuring data governance, compliance, and security while optimizing data insights to improve performance. Effective communication with stakeholders is crucial to translating analytics into business value.

What are the key skills and qualifications needed to thrive as a head of data & analytics?

To thrive as a Head Of Data & Analytics, you need extensive experience in data management, analytics methodologies, strategic leadership, and a relevant advanced degree such as in data science, computer science, or statistics. Proficiency with data warehousing, business intelligence platforms, programming languages like Python or SQL, and certifications such as Certified Analytics Professional (CAP) or Google Data Analytics are commonly expected. Outstanding communication, stakeholder management, and team-building skills distinguish top candidates in this position. These capabilities are crucial for guiding data strategy, driving data-driven decision-making, and successfully leading multidisciplinary analytics teams.

What are popular job titles related to Head Of Data & Analytics jobs in Remote, OR? For Head Of Data & Analytics jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Head Of Data & Analytics jobs? Cities near Remote, OR with the most Head Of Data & Analytics job openings:
Infographic showing various Head Of Data & Analytics job openings in Remote, OR as of June 2026, with employment types broken down into 78% Full Time, 6% Part Time, and 16% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $81,438 per year, or $39.2 per hour.

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 29 days ago


Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.