# Data Adoption Lead (Data Design & Delivery Assurance) at M&G

M&G is hiring a Data Adoption Lead (Data Design & Delivery Assurance) for a remote role open to applicants in United Kingdom. Level rates it Little AI ●○○○; you can [apply on M&G](https://jobsbylevel.com/go/8ac0ed0d-6b5a-41ba-a6e1-097daf41ff74?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Remote (London).

## Details

- Company: [M&G](https://jobsbylevel.com/companies/m-g)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Remote (London)
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/8ac0ed0d-6b5a-41ba-a6e1-097daf41ff74?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-adoption-lead-data-design-delivery-assurance-at-m-g-7fff90

## Prepare for this job

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## Description

At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role. Role Context The Chief Data Office sets enterprise direction for how data is governed, managed and used across M&G. Business Areas and Corporate Functions remain accountable for their data and outcomes, while CITO owns the enterprise architecture, platforms and technical standards that enable delivery at scale. The Enterprise Data Adoption Manager (Data Design & Delivery Assurance) owns the coherence of conceptual and logical data models across enterprise data domains and drives their adoption through delivery. The role connects locally developed models into a consistent enterprise view, aligns them with shared business meaning and promotes reuse before new build. The role leads data-design assurance on material data change, drawing on input on business meaning from the Enterprise Data Adoption Lead (Business & Semantic Design) so delivery teams go through a single assurance route. It brokers practical delivery and trade-offs and ensures the right owners make and record decisions. It does not define enterprise technical architecture or implementation standards, which are owned by CITO enterprise architects, or shared business definitions. Adoption of the data operating model through the change lifecycle sits with the Data Operating Model Adoption Manager. Key responsibilities: Ensure coherence across conceptual and logical models by maintaining an enterprise view of key business concepts, information requirements and relationships, connecting locally developed models and driving resolution of gaps, duplication or conflicting relationships. Align models with shared business meaning by working with the Enterprise Data Adoption Lead (Business & Semantic Design) to reflect agreed definitions, vocabularies and semantic standards consistently in conceptual and logical models. Drive adoption and data-design assurance by assessing whether material data change uses coherent models, agreed definitions and reusable assets, and whether design decisions support ownership, metadata, lineage, quality, controls and consumer requirements. Promote reuse before new build by helping teams identify existing data products, models, definitions, patterns and platform capabilities that can meet the requirement, and making duplication and future cost visible in decisions. Broker practical delivery and model trade-offs where delivery pressure, business outcomes, enterprise standards, cross-domain coherence, reuse opportunities or control expectations conflict, ensuring the right owners make and record the decision. Follow design decisions through to implementation by tracking agreed actions and exceptions, sharing assurance outcomes with portfolio colleagues and escalating to the appropriate architecture or data-governance authority where delivery drifts from agreed models or standards. Evidence adoption and improve guidance by tracking indicators of model coherence, standards adoption and reuse, and feeding recurring design issues back into modelling guidance and CITO standards. Experience, skills and attributes: Strong experience in conceptual and logical data modelling, data architecture, design assurance or data change within a complex organisation. Proven ability to define and connect

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