Data Management Senior Manager

Overview

In this role you will lead strategic Data Management and Governance programmes within the Data & AI Practice, shaping vision, roadmaps and investment cases. You will own senior client relationships and translate data priorities into business value, risk controls and strategic outcomes. You will direct multiple workstreams and teams, ensuring delivery quality and governance. You will also drive market-facing propositions, accelerators, and thought leadership to differentiate client offerings. This is a high-impact role at a global firm focused on data, AI and governance at scale.

Pay / Benefits

• up to 30 days’ vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work
• flexibility and mobility to spend time onsite with clients and partners

Responsibilities

• Provide strategic leadership across complex Data Management and Governance programmes, shaping vision, roadmap, operating model and investment case
• Own senior client relationships, advise executives and connect data priorities to business strategy, risk and value
• Direct multiple projects, workstreams or large teams with accountability for scope, commercial performance, delivery quality, governance, risk and outcomes
• Lead, inspire and grow managers and practitioners through workforce planning, delegation, coaching, performance leadership and succession development
• Lead business development opportunities from qualification to mobilisation, including proposal, pricing and negotiation
• Own and evolve market-relevant propositions, methods, alliances and thought leadership to translate trends into differentiated client offerings
• Strengthen practice capability through recruitment, knowledge sharing and cross-industry collaboration

Key requirements

• Typically 10+ years of relevant experience in Data Management and Governance consulting or transformation programmes
• Proven leadership of large, multi-workstream programmes with accountability for commercial performance, quality, risk and outcomes
• Experience advising senior executives and building trusted relationships across business, data, technology, risk and regulatory functions
• Proven ability to lead managers and multidisciplinary teams, including workforce planning and talent development
• Demonstrable success originating or converting business development opportunities, and leading proposals and negotiations
• Experience creating Data Management propositions, accelerators or thought leadership to market
• Depth in one or more Data Management and Governance capabilities with broad market awareness and integration of related disciplines

• leadership
• stakeholder management
• communication
• Agentic Data Management
• AI Observability
• semantic layers

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