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M&G

Data Adoption Lead (Data Design & Delivery Assurance)

M&G is hiring a Data Adoption Lead (Data Design & Delivery Assurance) in London, United Kingdom. Level rates it ; you can apply on M&G.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a lead role.
  • M&G has 105 other open roles on Level.
  • Posted in the last few days.

AI in this role

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 conceptual and logical models across enterprise data domains, aligning them with shared business meaning and resolving gaps, duplication or conflicting relationships to shape a coherent enterprise view.
  • Strong understanding of data products, metadata, lineage, data quality, controls, integration and reuse.
  • Experience providing proportionate challenge and assurance over material change, with the judgement to distinguish guidance, formal decision and escalation.
  • Strong stakeholder-management and facilitation skills, with the confidence to resolve cross-domain modelling issues, broker trade-offs between delivery pace, local requirements, model coherence and long-term reuse, and secure follow-through without direct authority.
  • Able to turn modelling and architecture expectations into clear delivery actions, acceptance criteria and evidence.
  • Outcome-focused and commercially aware, able to explain the consequence of duplication, fragmented models or weak adoption in terms of cost, risk, delivery and value.
  • Clear communicator, able to explain data models, architecture and assurance matters in practical business terms to sponsors, owners, architects and delivery teams.


What we offer:


We’re dedicated to supporting your wellbeing and helping you thrive, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, and financially plan for the future. Our UK benefits include:


  • A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
  • Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work.
  • Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments.
  • Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture.
  • Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G


At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience.


M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.


We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at: careers@mandg.com

How we rate this

Data Adoption Lead (Data Design & Delivery Assurance) at M&G rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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