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Data Governance Lead
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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.
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