Technical Programme Manager

dunnhumby
London, United Kingdom
4 days ago
Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Contract Duration
18 months
Posted
26 May 2026 (4 days ago)

Benefits

Flexible working hours Birthday off Comprehensive rewards package

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.

At dunnhumby, we’re on a mission to put the Customer First. We’re proud to partner with Tesco on one of the most ambitious retail transformation programmes in the market, combining data science, technology, and collaboration to drive meaningful change at scale.

We’re now looking for a Technical Programme Manager to join us on an 18-month fixed-term contract, playing a critical role in delivering a large, complex, and business‑critical transformation programme.

What you’ll be working on

You’ll lead a key technical workstream within a wider client-led transformation programme, working closely with client and dunnhumby cross-functional teams (Product, Engineering, Data Science).

This is a highly visible role where you’ll bring structure to complexity—aligning stakeholders, driving delivery, and ensuring we operate as one cohesive team.

What you’ll do

  • Lead the end-to-end delivery of a complex technical programme workstream within a major retail transformation
  • Own and drive delivery plans, ensuring alignment across dh and Tesco stakeholders
  • Operate in an agile environment, embedding best practices and continuously improving ways of working
  • Navigate ambiguity, shaping delivery approaches where scope and requirements are evolving
  • Build strong, credible relationships with senior client stakeholders, ensuring alignment and accountability
  • Coordinate across Product, Engineering, Data Science and Infrastructure teams to deliver integrated solutions
  • Identify and mitigate risks, proactively managing dependencies, trade-offs, and escalation points
  • Influence technical decision-making, balancing delivery constraints with long-term value
  • Support budget planning and resource alignment in partnership with cross-functional teams
  • Champion delivery excellence, coaching teams and promoting effective programme management practices

What we’re looking for

  • Proven experience as a Technical Programme Manager or Senior Technical Project Manager within complex environments
  • Strong stakeholder management skills, with confidence engaging senior client stakeholders (ideally within large enterprise organisations)
  • Experience delivering large-scale technical programmes of work, ideally within retail, CPG, or data-driven businesses
  • Solid understanding of technical delivery (engineering, data platforms, or product ecosystems)
  • Experience working in agile environments, with the ability to blend agile and traditional programme methodologies where needed
  • Strong ability to manage ambiguity, complexity and competing priorities
  • Track record of driving alignment across multiple teams and disciplines
  • Excellent communication, influencing, and problem-solving skills

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found(here)

Related Jobs

View all jobs

Delivery Manager

DCV Technologies London, United Kingdom
£300 – £330 pd Hybrid

Senior Manager

Faculty AI London, United Kingdom
Hybrid Clearance Required

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech London, United Kingdom
Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech Edinburgh, Alba / Scotland, United Kingdom
Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech Manchester, United Kingdom
Hybrid

AI Product Manager

Reed Bedford, United Kingdom
£57,000 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.