Data Governance Lead

Role Overview

• Define and implement the organisation’s data governance framework across operational, analytical, and AI-driven systems.
• Establish standards for data classification, ownership, lifecycle management, provenance, retention, and access control.
• Drive the implementation of federated governance models where domains retain operational ownership within centrally defined guardrails.
• Define governance patterns for structured, unstructured, graph, and vector-based data.
• Work closely with Data Architecture and Engineering teams to embed governance, telemetry, and lineage into core platform patterns.
• Establish policies and automated controls for data quality, validation, metadata management, and lifecycle enforcement.
• Define approaches for data observability, lineage tracking, auditability, and operational telemetry across the platform.
• Collaborate with Security and Compliance teams to ensure alignment with regulatory, contractual, and internal policy requirements.
• Guide implementation of access governance and entitlement models aligned with role-based and attribute-based access control strategies.
• Establish governance approaches for AI-related data usage, including retrieval pipelines, training data provenance, and model interaction boundaries.
• Drive operational maturity around data stewardship, accountability, and governance processes across business domains.
• Support onboarding of new domains, systems, and data products into the governance framework.
• Contribute to governance tooling selection, policy automation, and scalable compliance monitoring approaches.

Requirements

• Strong experience in data governance, data management, compliance, or enterprise data operations.
• Experience implementing governance models across distributed or federated data environments.
• Practical understanding of data lifecycle management, metadata, lineage, provenance, and observability concepts.
• Experience working with modern data platforms spanning relational, lakehouse, graph, and retrieval-oriented architectures.
• Understanding of access governance, identity models, and policy-driven entitlement management.
• Familiarity with governance challenges related to AI, retrieval systems, and unstructured data usage.
• Experience defining scalable governance controls that balance compliance with operational usability.
• Ability to work across technical and business stakeholders to establish governance accountability and adoption.
• Strong communication skills with the ability to translate governance requirements into practical operational standards.
• Comfort operating in environments where systems, tooling, and governance maturity are evolving rapidly.
• A pragmatic mindset focused on scalable controls, operational trust, and automation-first governance approaches.

Benefits

• Dynamic and international environment
• Opportunities for professional development
• Flexible working arrangements
• Great Place to Work-certified