Data Governance Lead
Summary
Lead the design and implementation of a data governance framework for a large-scale Azure-based enterprise data platform, ensuring compliance and aligning technical delivery with business needs.
We are seeking an experienced Data Governance Lead to establish and operationalize the complete data governance framework for a brand-new, national-scale enterprise data platform built on Microsoft Azure.
In this role, you will own the data governance strategy from scratch, bridging the gap between senior client stakeholders, compliance requirements, and technical delivery teams. You will define governance policies, stewardship models, data quality standards, and access control mechanisms for a major greenfield initiative.
Essential functions
Own the overall data governance strategy for a large-scale data platform build.
Translate regulatory, compliance, and policy requirements into actionable technical architecture and engineering guidelines.
Design and operationalize governance functions, including data stewardship, data quality processes, lineage, cataloging, and role-based access control.
Act as a trusted advisor to senior client stakeholders, presenting governance assessments, roadmaps, and frameworks.
Support delivery teams in implementing governance tooling and practices across the platform.
Stay ahead of evolving compliance and AI-governance landscapes, integrating best practices into project delivery.
Qualifications
5+ years of experience in Data Governance or Data Management, with a proven track record of designing and operationalizing governance frameworks for large enterprises.
Hands-on experience with modern data platforms and governance tools (e.g., Microsoft Purview, Collibra, Alation).
Demonstrated ability to translate compliance and regulatory mandates into engineering and architectural practices.
Proven experience engaging senior stakeholders in discovery, advisory, or presales contexts.
Excellent communication skills with the ability to present complex governance roadmaps to both business and technical audiences.
Would be a plus
Prior hands-on technical background (e.g., former Data Engineer, Data Architect, or Data Analyst).
Experience with AI / ML Governance frameworks.
Relevant professional certifications (e.g., CDMP, DGSP).
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.