Senior Manager, Consumer Data Architecture, Governance and Management

Overview

In this Senior Manager role, you will lead engagements to define enterprise data strategies and governance for consumer data across product and customer domains. You will shape global data models and governance structures in a consumer-focused consulting context, guiding senior stakeholders and cross-functional teams. The role emphasizes conceptual design over physical implementation, with impact on margins, brand, and customer understanding across omnichannel journeys. You’ll work within Deloitte’s Engineering, AI & Data offering to drive measurable outcomes and transformation.

Pay / Benefits

• hybrid working policy in London
• focus on wellbeing and work-life balance
• investment in learning and development
• collaborative, inclusive culture
• opportunity to work with global Consumer clients
• impactful, purpose-driven work

Responsibilities

• Lead engagements with senior consumers’ business and tech stakeholders to define enterprise data strategies, conceptual models, and transformation roadmaps
• Shape consistent enterprise models for product and customer data including ownership, lifecycles and governance
• Assess product data creation, enrichment, governance, mastering and consumption across the value chain
• Design and mobilise data governance and data management operating models (roles, policies, standards, data quality controls)
• Lead multidisciplinary delivery teams, ensure high-quality client deliverables, and translate data issues into business decisions
• Maintain strong client relationships and communicate complex data concepts to senior audiences
• Translate insights from data architecture into supports for analytics, AI, personalization, and regulatory needs
• Support transition planning from current to target data landscapes with prioritised roadmaps and investments
• Ensure alignment with commercial priorities and business outcomes

Key requirements

• Significant senior experience in data architecture, governance or data management within Consumer businesses or consulting
• Experience across both product and customer data domains and understanding of omnichannel implications
• Strong knowledge of end-to-end product data lifecycle in CPG and Retail
• Knowledge of product identifiers, GTIN, GS1 standards, barcodes and RFID for traceability
• Proven ability to develop enterprise conceptual and logical data models (physical modelling not required)
• Experience leading client-facing teams and influencing senior stakeholders with strong consulting and communication skills
• Proficiency in enterprise data architecture principles and data governance frameworks
• Ability to map data flows and translate findings into roadmaps and investment decisions
• Understanding of how data architecture outcomes relate to analytics, AI, customer experience and regulatory needs
• Experience with master data management concepts; hands-on MDM tools or governance platforms is desirable

• Stakeholder management
• Clear communication
• Leadership and team collaboration
• Enterprise data architecture
• Data governance frameworks
• Data modeling (conceptual/logical)

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