Senior Manager, Data Governance

The Senior Manager, Data Governance is a strategic leadership role responsible for advancing, maturing, and optimising the Firm’s Data Governance Framework and broader data strategy. The role focuses on embedding data governance practices into business-as-usual operations, improving data quality, reducing risk, and enabling the effective use of data to support analytics, reporting, integrations, and emerging AI capabilities.

The Data Governance Framework provides the structure and operating model to drive effective data management and influence data-related behaviours across the Firm. It has established the mechanisms for oversight, control (planning, monitoring, and enforcement), and leadership of data governance activities.

The Framework comprises a C‑Suite Steering Committee, a Director‑level Data Governors Board, and a Data Stewardship Council, supported by Technology, Information Governance, Data Governance, and Data Privacy Office (DPO) teams. Its objective is to improve the quality, consistency, and accessibility of data assets, enabling their use to drive competitive advantage.

Operating within the Practice Solutions Function, this role is global and highly cross‑functional, working closely with senior stakeholders across Technology, Business Intelligence, Data Architecture, Information Governance, and the Data Privacy Office, as well as technical and functional Data Stewards throughout the Firm. The Senior Manager plays a critical role in ensuring the Firm’s data is trusted, well‑managed, and positioned to deliver measurable business value.

The role provides leadership to the Data Governance team and the wider governance community, including the Data Governors Board and Data Stewardship Council, ensuring consistent adoption, clear accountability, and alignment with business priorities and regulatory expectations. This requires a balance of both a bottom‑up and top‑down approach to embedding and supporting effective Data Governance.

In addition, the Senior Manager partners closely with Business Intelligence, Knowledge Solutions and Innovation teams to ensure strong data governance foundations underpin the data and analytics, knowledge management, enterprise search, automation, and AI‑driven initiatives across the Firm.

• Evolve and drive the strategic direction and continued maturity of the Firm’s Data Governance Framework, transitioning it towards a scalable, embedded, and value‑driven operating model. Lead, mentor, and develop the Data Governance team, providing clear direction, prioritisation, and oversight across all governance activities. Chair the Data Governors Board and provide leadership oversight to the Data Stewardship Council, driving engagement, accountability, and cross‑functional collaboration across teams and regions.

• Embed data governance into business‑as‑usual processes, ensuring data ownership, stewardship, and accountability are consistently applied across the Firm.

• Enhance and optimise data governance policies, standards, operating models, and controls to ensure consistency, scalability, and regulatory alignment.

• Define, standardise, and govern the Firm’s data domain model, ensuring clear ownership, accountability, and alignment to business capabilities across our regions, business functions and practices.

• Drive measurable improvements in data quality, governance adoption, and data‑related business outcomes across key domains.

• Define, monitor, and continuously improve data quality frameworks, metrics, and remediation processes to enhance data accuracy, completeness, and integrity.

• Own and drive the Firm’s central reference data strategy, establishing, driving adoption, and continuously improving a controlled, scalable, and authoritative approach to managing reference data across systems and processes.

• Define and support the adoption of external and industry data standards (e.g. SALI, Nos Legal), ensuring alignment with internal data models and maximising consistency, interoperability, and business value.

• Oversee and optimise the Firm’s Data Management Technology (DMT), ensuring effective use of metadata, lineage, reference data, and workflow…