Data Management Manager

Overview

Accenture is seeking a Data Management & Governance Manager to help design and deliver data governance, quality, MDM, and AI-ready data solutions for clients. You will act as a subject matter expert across data management capabilities and lead multi-disciplinary teams to translate complex findings into practical delivery plans. The role blends hands-on implementation with client facing guidance and business development support. You will work in a collaborative Data & AI Practice that values innovation and diverse perspectives. This is an opportunity to shape data management strategy at scale within a global professional services firm.

Pay / Benefits

• up to 30 days vacation
• private medical insurance
• extra 3 days leave per year for charitable work
• flexibility and mobility to onsite client work

Responsibilities

• Act as a subject matter expert in one or more Data Management and Governance capabilities, providing clear direction across client engagements
• Lead the design and delivery of Data Management and Governance solutions aligned to client priorities, regulatory requirements and measurable business outcomes
• Manage projects or workstreams, including scope, plans, resources, budgets, risks, dependencies, governance and delivery against agreed milestones
• Lead and develop multidisciplinary teams, setting clear objectives, allocating work, coaching colleagues and creating an inclusive, high-performing environment
• Assess current data capabilities, translate complex findings into practical recommendations and mobilise delivery plans that achieve sustainable improvements
• Build trusted relationships with client stakeholders, facilitate senior workshops and communicate effectively across business, data and technology audiences
• Contribute to business development by shaping proposals, estimating delivery effort and supporting client pitches and commercial discussions
• Develop and improve Data Management propositions, methods, accelerators and thought leadership, sharing knowledge across the practice

Key requirements

• Typically 6+ years of relevant experience, with deep hands-on expertise in one or more capabilities
• Experience leading a project or substantial workstream from definition through delivery, managing plans, resources, risks, dependencies and quality
• Demonstrable experience managing, coaching and developing team members, including providing direction, feedback and performance support
• Strong consulting skills, including structuring ambiguous problems, facilitating senior stakeholder discussions and producing clear, client-ready recommendations
• Experience contributing to proposals, delivery estimates, case studies, propositions, methods or reusable assets
• Commercial awareness and the ability to balance client outcomes, delivery quality, team wellbeing and engagement performance
• Strong written and verbal communication, with the credibility to influence business, data and technology stakeholders across multidisciplinary and multi-location teams

• Stakeholder management
• Communication (written and verbal)
• Coaching and people development
• Agentic Data Management
• AI Observability
• semantic layers

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