Unstructured Data Governance Manager

Overview

Unstructured Data Governance Manager – leading the development of a lightweight, risk‑aligned governance framework and AI readiness strategy for the company’s unstructured data assets.

• Design and implement a practical, right‑sized governance approach for unstructured data (documents, wikis, emails, contracts, knowledge bases, video, audio, etc.) that balances rigor with adoptability.
• Establish policies, standards and guidelines for how unstructured data is created, classified, stored, maintained and retired.
• Build and evolve a governance operating model that works across decentralized teams and business units.

• Partner with Analytics & AI to ensure unstructured data assets are well‑curated, traceable and fit for use in GenAI applications, RAG pipelines and knowledge management systems.
• Identify and work with business domain owners to mitigate risks related to poor data quality, uncontrolled content proliferation and ungoverned AI inputs/outputs.
• Stay current on GenAI trends and help the organisation understand governance implications of emerging capabilities.

• Champion knowledge management best practices, including taxonomy development, metadata standards and content lifecycle management.
• Identify high‑value knowledge assets and work with business owners to bring them under appropriate governance.
• Reduce redundancy, improve discoverability and increase trust in the organisation’s knowledge base.

• Apply working knowledge of data privacy and information governance regulations (e.g. GDPR, CCPA, HIPAA where applicable) to ensure unstructured data handling meets compliance requirements.
• Partner with Legal/Compliance and IT Security to align governance standards with enterprise risk policies.
• Help teams understand obligations around sensitive and regulated unstructured content.

• Build relationships and credibility with stakeholders across departments to drive adoption of governance standards without direct authority.
• Communicate governance value in business terms – connecting data quality and risk management to outcomes that matter to each team.
• Establish governance forums, working groups or steward networks to sustain momentum.
• Report progress against governance objectives to Analytics & AI leadership and relevant executive stakeholders.

• 5+ years in data governance, knowledge management, information management or a closely related discipline.
• Demonstrated experience with GenAI or AI/ML initiatives, including understanding how unstructured data fuels and affects AI systems.
• Strong program and project management skills, with a track record of driving cross‑functional outcomes in matrixed organisations.
• Proven ability to influence without authority – building alignment and accountability across teams that do not report to you.
• Comfort operating in ambiguous, evolving environments; able to define structure where little exists.
• Excellent communication skills, including the ability to translate technical governance concepts for non‑technical audiences.
• A pragmatic mindset – building governance frameworks that are useful and adopted, not just technically correct.

• Experience with data privacy or information privacy compliance frameworks (GDPR, CCPA or similar).
• Familiarity with knowledge management platforms, enterprise content management systems or RAG/vector search architectures.
• Experience working within or alongside an Analytics, Data or AI centre of excellence.
• Relevant certifications (e.g. CDMP, IGQ, CIPP, PMP or similar).

In the first year, you will assess the current state of unstructured data across the organisation, establish a governance framework with visible business buy‑in and make measurable progress on data quality and AI readiness for at least one high‑priority knowledge domain. You will be seen as a trusted partner, not a compliance gatekeeper, by the teams you work with.