Data Governance Lead

Permanent

Job Description

Role:
Data Governance Lead

Mode of hire: work from office 3 days in a week

Engagement:
Permanent

Experience:

12–15+ years

Joining:
Immediate

Role Overview

We are looking for a highly experienced Data Strategy, Governance & Solution Architect with 15+ years of experience across enterprise data strategy, data governance, data architecture, MDM and large-scale data transformation.

The successful candidate will be responsible for defining the Data Strategy and Data Governance framework, developing the Data Roadmap, and translating the strategy into a portfolio of executable projects. Each project should have a clear business case, delivery objectives, benefits, dependencies and measurable outcomes.

This is a senior, hands-on role requiring a combination of strategy consulting, architecture, governance and implementation experience. The individual should be a strong Solution Architect who can bridge business strategy and technical execution.

Key Responsibilities

• Define and establish the enterprise Data Strategy, aligned to business objectives and technology strategy.
• Assess the current data landscape, capabilities, maturity, architecture, processes and pain points.
• Develop the target-state Data Strategy and operating model.
• Create a comprehensive Data Roadmap covering short-, medium- and long-term initiatives.
• Translate the overall Data Strategy into a structured portfolio of projects / initiatives.
• Prioritise projects based on business value, risk, regulatory requirements, dependencies, cost and complexity.
• Define clear outcomes, milestones, dependencies and success measures for each initiative.
• Ensure the roadmap is realistic, actionable and aligned with enterprise architecture.

Strategy-to-Project Transformation

• Break down the overall Data Strategy into executable projects and work streams.
• Develop a clear scope, objectives, deliverables and implementation approach for each project.
• Develop a business case for each project, including:
• Business problem / opportunity
• Expected benefits and business value
• Costs and investment requirements
• Risks and dependencies
• Resource requirements
• Delivery timeline
• KPIs and success criteria
• Support senior leadership in prioritising and approving the project portfolio.
• Provide architectural and strategic direction throughout project execution.
• Ensure individual projects remain aligned to the overall Data Strategy and target architecture.

Data Governance

• Define and implement the Enterprise Data Governance framework.
• Establish data governance principles, policies, standards, processes and controls.
• Define Data Ownership, Data Stewardship, RACI and decision rights.
• Establish governance forums, councils and escalation mechanisms.
• Define and implement governance processes covering:
• Data Quality
• Metadata Management
• Business Glossary
• Data Classification
• Data Ownership & Stewardship
• Data Controls
• Master & Reference Data
• Define governance KPIs and maturity measures.
• Drive adoption of governance practices across business and technology teams.

Data Retention & Archival

• Define and implement Data Retention and Data Archival strategies aligned with business, regulatory, legal and compliance requirements.
• Establish data retention policies, standards and ownership.
• Define archival principles and target-state archival architecture.
• Determine what data should be retained, archived, migrated or disposed of.
• Work with legal, compliance, security, business and technology stakeholders to establish appropriate retention periods.
• Ensure archival solutions consider accessibility, cost optimisation, security, auditability and data lifecycle management.
• Develop implementation roadmaps for retention and archival initiatives.
• Act as a senior Data / Solution Architect across the data transformation portfolio.
• Define…