At a Glance
- Tasks: Lead data governance for a major sustainability initiative, shaping frameworks and policies.
- Company: Join Grid Dynamics, a leader in tech consulting and AI solutions.
- Benefits: Enjoy a competitive salary, flexible schedule, and comprehensive benefits package.
- Other info: Collaborate with a motivated team and access professional development opportunities.
- Why this job: Make a real-world impact while working on cutting-edge projects in sustainability.
- Qualifications: 5+ years in data governance with strong communication and technical skills.
The predicted salary is between 70000 - 85000 £ per year.
We are hiring a Data Governance Lead to join our team at Grid Dynamics. Working at the intersection of modern technology and environmental impact, you will design and operationalize the governance framework - covering lineage, stewardship, quality, and access control - for a major UK sustainability initiative driving real-world change across massive corporate supply chains.
Responsibilities
- Own the data governance perspective in for this large data engagement — assesses current governance maturity and shapes governance requirements as part of the proposed solution.
- Translate regulatory, compliance, and policy requirements into concrete architecture and delivery decisions.
- Build and maintain reusable data governance frameworks, maturity models, and assessment playbooks that GD can apply across engagements.
- Act as a trusted advisor to client-side stakeholders bridging their policy concerns and the engineering team's implementation choices.
- Support delivery teams in operationalizing governance: data stewardship models, data quality processes, lineage and cataloging, and access control policies.
- Track the evolving regulatory and AI-governance landscape and translates implications into practical guidance for pursuits and delivery.
Requirements
- 5+ years of experience in data governance or data management, with hands-on experience designing and operationalizing governance functions (policy, stewardship, data quality, lineage, access control) for large enterprises.
- Demonstrated ability to translate regulatory and compliance requirements into technical architecture and engineering practice.
- Direct experience engaging senior client stakeholders in presales, discovery, or advisory contexts.
- Working fluency with modern data platforms and governance tooling (e.g., Purview, Collibra, Alation).
- Excellent communication skills, with the ability to present governance assessments and roadmaps to both technical and non-technical audiences.
Nice to have
- Experience with AI/ML governance.
- Relevant certifications (e.g., CDMP, DGSP).
- Prior hands-on technical experience as a data engineer, data architect, or similar.
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.
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.
Data Governance Lead employer: Grid Dynamics
Grid Dynamics is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on professional development and a flexible schedule, employees are empowered to grow their skills while contributing to meaningful projects in AI safety. The collaborative culture fosters creativity and teamwork, making it an ideal place for those looking to make a significant impact in the field of machine learning.
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We think you need these skills to ace Data Governance Lead
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