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

Head of AI

OR · On-site +1

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 ...

Head of AI

OR · Remote

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 ...

ESSENTIAL FUNCTIONS OF THE POSITION: The essential functions of this position require prioritizing ... Observe child and regularly document progress in web based data system as directed by supervisor.

Senior Manager, Privacy

OR · Remote

$160 - $180K/hr

Reporting to the Sr. Director, US Head of Data Privacy, this Senior Manager level professional will be responsible for advancing Servier US data privacy programs through strategic oversight ...

Senior Manager, Privacy

OR · On-site +1

$160 - $180K/hr

Reporting to the Sr. Director, US Head of Data Privacy, this Senior Manager level professional will be responsible for advancing Servier US data privacy programs through strategic oversight ...

Head Start Teacher

Roseburg, OR · On-site

$23.38 - $29.77/hr

... forms of office technology, electronic data, computer programs and software applications ... Within 60 days of appointment - participate in Head Start Staff Health Appraisal Education ...

ESSENTIAL FUNCTIONS OF THE POSITION: The essential functions of this position require prioritizing ... data system as directed by child development services supervisor. * Plan and carry out daily ...

Early Head Start Teacher

Roseburg, OR · On-site

$23.38 - $29.77/hr

... forms of office technology, electronic data, computer programs and software applications ... Within 60 days of appointment - participate in Head Start Staff Health Appraisal. Education ...

Early Head Start Home Visitor

Roseburg, OR · On-site

$18 - $23.75/hr

Establish and maintain records, reports, and statistical data; be detail oriented; basic use of ... Represent Head Start in a variety of settings; use large and small group leadership skills ...

The Early Head Start Home Visitor provides and coordinates comprehensive social and educational ... Establish and maintain records, reports, and statistical data; be detail oriented; basic use of ...

Head Start Teacher Assistant

Roseburg, OR

$14.50 - $18.25/hr

Under guidance of the teacher take observations on children and enter into the web based data ... Respect the confidentiality of information about Head Start children and families, staff and ...

Head Start Teacher Assistant

Roseburg, OR · On-site

$16.67 - $19.81/hr

Under guidance of the teacher take observations on children and enter into the web based data ... Respect the confidentiality of information about Head Start children and families, staff and ...

... Head Start classrooms. ESSENTIAL FUNCTIONS OF THE POSITION: The essential functions of this ... Under guidance of the teacher take observations on children and enter into the web based data ...

Bus Driver - Substitute Position

Roseburg, OR · On-site

$15.50 - $21.50/hr

Description BUS DRIVER SUBSTITUTE- HEAD START Non-Benefitted -- No Guarantee of Hours JOB SUMMARY ... data, computer programs and software applications, especially Microsoft 365, Word, Excel, Outlook ...

Description BUS DRIVER SUBSTITUTE- HEAD START Non-Benefitted -- No Guarantee of Hours JOB SUMMARY ... data, computer programs and software applications, especially Microsoft 365, Word, Excel, Outlook ...

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Showing results 1-20

Head Of Data information

What does a head of data do?

A Head of Data is responsible for overseeing an organization's data strategy, including data governance, management, analytics, and security. They lead teams that collect, process, and analyze data to support business decision-making and drive growth. This role often involves collaborating with other departments to ensure data is utilized effectively and aligns with the company's objectives. Additionally, the Head of Data may set policies around data quality, compliance, and privacy, ensuring the organization meets regulatory requirements.

How does the head of data typically collaborate with other departments to drive data-driven decision making?

The Head of Data works closely with leaders from various departments—such as product, marketing, and operations—to identify business challenges and opportunities that can be addressed through data insights. They facilitate cross-functional meetings, translate business objectives into data strategies, and ensure that analytics and reporting align with organizational goals. Frequent collaboration also involves educating stakeholders on data literacy and advocating for best practices in data governance, ultimately fostering a culture where data informs key decisions.

What are the key skills and qualifications needed to thrive as a head of data, and why are they important?

To thrive as a Head Of Data, you need deep expertise in data architecture, analytics, and strategy, usually supported by an advanced degree in a quantitative field and experience in data leadership roles. Proficiency with big data platforms (such as Hadoop or Spark), data visualization tools (like Tableau or Power BI), and knowledge of data governance frameworks are essential, with certifications in data management or cloud services (e.g., AWS, Azure) being advantageous. Strong leadership, communication, and stakeholder management skills help drive data initiatives and foster cross-functional collaboration. These skills are crucial for aligning data strategy with business goals, ensuring data quality, and empowering data-driven decision-making across the organization.

What is the difference between Head Of Data vs Data Analyst?

AspectHead Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's in relevant field; certifications like SQL, Excel, or Tableau beneficial
Work EnvironmentStrategic leadership, overseeing data teams, setting data strategyAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon across industries for data-driven roles

The Head Of Data focuses on leading data strategy and managing data teams, while Data Analysts primarily analyze data and generate insights. Both roles require strong analytical skills, but the Head Of Data has a broader leadership and strategic responsibility.

What are popular job titles related to Head Of Data jobs in Remote, OR?

For Head Of Data jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Head Of Data jobs in Remote, OR look for?

The top searched job categories for Head Of Data jobs in Remote, OR are:

Infographic showing various Head Of Data job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 20 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.