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Data Delivery Lead

Job in Stirling, Stirlingshire, AB42, Scotland, UK
Listing for: M&G
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

The Role

Working in Life Data, MI and Analytics, part of the wider Data, MI and AI team, the Data Delivery Lead is accountable for turning M&G’s strategic priorities into high - quality, reliable data products and insight that enable confident decision - making across the Life business.

Engaging and collaborating closely with business stakeholders, the role owns end - to - end delivery of data assets, MI and analytical insight. You will shape demand, translate complex and ambiguous requirements into clear delivery plans, and ensure data is delivered on time, to the right standard, and aligned to outcomes that matter most for customers and the business.

This is a varied role which requires the candidate to be both hands - on enough to challenge technical detail and focused on leadership, prioritisation and delivery at pace and scale.

What you’ll be accountable for End‑to‑end data delivery
  • Own and lead the delivery of data products, MI and insight from intake through to implementation and adoption.
  • Translate business outcomes into clear data requirements, roadmaps and milestones.
  • Balance BAU delivery with transformational change in a fast‑paced operational environment.
Stakeholder management
  • Act as the primary data delivery partner for senior stakeholders across Operations, Marketing, Proposition, Advice, Distribution and Change.
  • Set expectations, manage dependencies and communicate progress, risks and trade‑offs clearly.
  • Challenge requirements where needed to ensure focus on value, not volume.
  • Collaborate closely with delivery partners across Technology
Team leadership and coaching
  • Line manage and coach a small team of data engineers, MI developers and analysts.
  • Provide direction on priorities, solution design and delivery standards.
  • Create a high‑performance culture focused on quality, ownership and continuous improvement.
Delivery excellence
  • Apply Agile delivery practices to manage backlogs, dependencies and delivery risk.
  • Ensure data products are robust, well‑designed and fit for purpose, with clear ownership and documentation.
  • Proactively identify data quality, integrity and resilience issues and drive resolution.
Strategy and improvement
  • Support the Head of Life Data, MI & Analytics in shaping data strategy, capability and operating model.
  • Identify opportunities to simplify, standardise and automate data delivery.
  • Deputise for the Head of Data when required in senior forums and governance.
What success looks like
  • Stakeholders trust the data and use it to make confident, timely decisions.
  • Data delivery is prioritised and aligned to strategic priorities and business outcomes, not just volume of requests.
  • Data products are well-governed, simple, reusable and sustainable, supporting long - term value.
  • The team is engaged, skilled and continuously improving.
Skills, knowledge and experience Essential
  • Proven experience leading delivery in a data engineering, MI or analytics environment.
  • Strong understanding of data engineering, analytics and visualisation concepts.
  • Confident operating with senior stakeholders in complex, ambiguous settings.
  • Experience delivering in Agile environments and managing competing priorities.
  • Ability to distil complex technical detail into clear, senior‑level messages and requirements.
  • Experience of working in an operational, fast‑paced, environment with competing priorities and changing demands.
Technical credibility
  • Strong SQL skills and…
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