Hybrid SVP, Data Governance – AI Responsibility

Posted last week

Apply now

About the role

  • Establish and lead enterprise governance for data and AI, ensuring compliance, quality, and responsible innovation across strategic platforms and domains.
  • Enable DPO adoption in external domains (Risk, Operations, Finance etc).
  • Mitigate legacy data risks during integrations.
  • Operationalize DataOps and testing.
  • Ensure regulatory compliance and remediation.
  • Build AI governance and lead AI governance forums, change mgmt and MLOps foundations.

Requirements

  • A bachelor's or master's degree in business, Computer Science, Information Systems, Data Science, Engineering, or a related field.
  • At least 15 or more years of experience in product management, including a proven track record of leading significant successful data transformation initiatives in complex environments.
  • Minimum 5 or more years of experience in data platform and services build-out in partnership with engineering teams and data product ownership in a mid to large scale enterprise.
  • Proven experience in a senior leadership role over enterprise Data governance initiatives: Catalog, Quality, Lineage, Recon, and Retention.
  • Experience leading teams through significant transformations, particularly in migrating from legacy systems to modern cloud architectures.
  • Exceptional communication and stakeholder management skills.
  • Demonstrated ability to foster a collaborative and innovative team culture.
  • Experience with DataZone from AWS a plus.

Benefits

  • 401K matching
  • health benefits
  • employee stock options
  • paid time off
  • volunteer time off

Job title

SVP, Data Governance – AI Responsibility

Job type

Experience level

Lead

Salary

$179,775 - $299,625 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job