Data Governance Lead/Director

Overview This is more than a traditional governance role. As our Data Governance Lead/Director, you will act as a strategic leader and change agent, embedding a modern data culture across the organisation while enabling the next generation of intelligent products and AI capabilities. You will shape and drive how data is understood, managed, and used, ensuring it becomes a trusted, high-value asset that powers innovation and responsible decision-making. This role combines strategic leadership, operational execution, stakeholder influence, and technology transformation. Main Duties and Responsibilities • Define and lead Chambers’ enterprise-wide data governance vision, strategy, roadmap and operating model • Establish governance frameworks, standards, policies, and controls aligned to business priorities and regulatory obligations • Partner with executive leadership to position data governance as a strategic business capability rather than a compliance exercise • Establish governance KPIs, adoption metrics, and value measurement frameworks and governance principles and controls that support responsible and scalable AI adoption • Ensure data used for analytics, machine learning, and generative AI is accurate, secure, traceable, and ethically governed • Help define standards for AI transparency, explainability, lineage, model accountability, and responsible use of enterprise data • Lead enterprise-wide data quality initiatives focused on accuracy, consistency, completeness, timeliness, and reliability • Build scalable data ownership models with clear accountability, and issue resolution processes • Champion standardisation of business definitions, rules, and critical data assets across the organisation • Accountable for managing data compliance at Chambers, in line with data protection legislation and regulatory requirements. Liaise with Chambers DPO as necessary • Identify and mitigate enterprise data risks, including data quality, compliance, ethical AI, and operational risks • Play a leadership role in Chambers’ modern data platform transformation programme • Partner with engineering and architecture teams to embed governance into cloud-native data platforms and data products • Support the evolution of the organisation’s Azure Databricks ecosystem, medallion architecture, and enterprise data capabilities • Lead governance input into Master Data Management (MDM) strategy, vendor selection, and implementation • Drive organisation-wide awareness, education, and adoption of governance best practices to drive the data culture. Why you should apply This is a chance to shape the future of data and AI governance within one of the world’s most respected legal intelligence organisations. You will work at the intersection of data, AI, technology, and business transformation, helping define how trusted information powers the next generation of legal insight products. At Chambers, you will have the opportunity to: • Influence enterprise strategy at senior leadership level • Lead a high-impact transformation agenda • Build modern governance capabilities from the ground up • Work with cutting-edge cloud and AI technologies • Shape responsible AI adoption in a globally recognised organisation • Drive meaningful commercial and operational impact through data Skills, Experience & Personal Attributes • Significant leadership experience in enterprise data governance, data management, or data strategy roles and influencing other senior members. • Proven experience designing and implementing governance frameworks at scale • Strong understanding of modern data governance practices, operating models, and governance tooling Highly Desirable • Experience enabling or governing AI, machine learning, or generative AI initiatives Knowledge of responsible AI frameworks and AI governance principles Experience implementing Master Data Management solutions Familiarity with legal, professional services, research, publishing, or highly regulated industries Experience with data products, analytics platforms, or digital transformation programmes • Demonstrable experience leading enterprise data quality and metadata initiatives Experience supporting cloud data platforms, modern data