Chief Data & AI Governance Leader

FullStack

Augusta (ME)

Remote

USD 180,000 - 350,000

Full time

34 hours ago
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Benefits offered by this job

Competitive salary
100% remote work
Health, dental, and vision insurance
401(k) with 4% match
Career advancement opportunities
Continuing education opportunities

Job summary

FullStack is seeking a Chief Data Officer - Data & AI Governance to lead enterprise data strategy and governance for client projects. You will shape data policy, oversee governance across cloud platforms, and partner with executive leadership.

In this role you’ll drive team augmentation or product engagements, influence regulatory compliance, and advance AI data capabilities for startups and Fortune 500 companies.

Qualifications

  • 10+ years of professional experience in data, analytics, or technology roles.
  • 5+ years of leadership experience scaling cross-functional data teams.
  • Established enterprise data governance and regulatory frameworks in production environments.
  • Experience presenting data strategy to executive leadership and boards.

Responsibilities

  • Lead enterprise data governance and AI data policies across client engagements.
  • Define and execute data architecture strategy spanning cloud ecosystems.
  • Collaborate with executives to align data governance with business objectives.
  • Ensure regulatory compliance and privacy standards across projects.

Skills

Enterprise data governance
Data architecture strategy
AI governance
Regulatory compliance
Executive communication
Cross-functional leadership
Cloud platforms (AWS/GCP/Azure)
Data policy development
Data classification
Ownership & accountability

Education

Bachelor's degree

Tools

AWS
Azure
GCP

Job description

FullStack is seeking a Chief Data Officer - Data & AI Governance to lead enterprise data strategy and governance for client projects. You will shape data policy, oversee governance across cloud platforms, and partner with executive leadership.

In this role you’ll drive team augmentation or product engagements, influence regulatory compliance, and advance AI data capabilities for startups and Fortune 500 companies.

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