Chief Data Officer: AI Governance & Strategy (Remote)

FullStack; Pierre (SD); Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work

Health insurance

Paid time off

401(k) with match

Education & growth

Job summary

FullStack is seeking a Chief Data Officer - Data & AI Governance to join our team. You will work with clients in two delivery modes: team augmentation or design & build, guiding data strategy and governance across complex systems.

You will lead data policy development, enforce regulatory compliance, and partner with executives to ensure AI initiatives align with business goals while delivering measurable value and risk management.

Qualifications

• 10+ years of experience in data, analytics, or technology roles.
• 5+ years of leadership experience scaling cross-functional data teams.
• Established data governance, data classification, and regulatory frameworks in production.
• Designed enterprise data architecture across AWS/Azure/GCP.
• Built data policy and governance frameworks for AI tools and data classification.
• Experience presenting data strategy to executives and boards.
• Experience in mortgage/financial services regulatory compliance.
• Advanced English required.
• Four-year college degree required.
• Detail-oriented with ownership mindset.
• Experience in Agile/Scrum environments.

Responsibilities

• Lead data governance and architecture initiatives for clients.
• Collaborate with cross-functional teams including designers and engineers.
• Present data strategy and governance to executives and boards.
• Drive client delivery in team augmentation or design & build modes.

Skills

Data governance

Enterprise data architecture

Regulatory compliance

AI governance

Executive reporting

Mortgage/financial services

Advanced English

Leadership

Agile/Scrum

Ownership mindset

Education

Bachelor's degree

Tools

AWS

Azure

GCP

SQL

CI/CD

Job description

FullStack is seeking a Chief Data Officer - Data & AI Governance to join our team. You will work with clients in two delivery modes: team augmentation or design & build, guiding data strategy and governance across complex systems.

You will lead data policy development, enforce regulatory compliance, and partner with executives to ensure AI initiatives align with business goals while delivering measurable value and risk management.