Data Strategy Manager/Data product Manager (Strategy)

Pontoon
Bromley, Greater London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Product Manager, Analytics

Synthesia London, United Kingdom
Hybrid

Data Analyst/Manager

Coulter Elite Resourcing Peterborough, PE1 1XH, United Kingdom

Head of Data and BI

Corecom Consulting York, North Yorkshire, YO1 8RS, United Kingdom
£90,000 – £95,000 pa Hybrid

Product Designer, Growth (Staff/Principal-level)

Synthesia London, United Kingdom
Remote

Deployment Strategist

Databricks London, United Kingdom
On-site

Regulatory Systems Manager

Hudson Shribman United Kingdom
Posted
13 Mar 2026 (2 months ago)

Job title: Data Strategy Manager/Data product Manager (Strategy)

Location: Bromley (3 days onsite, 2 days remote)

Contract Length: 12 months

Daily Rate: £650/Day

Status: Inside IR35

Working Pattern: Full Time

Are you a data enthusiast with a flair for strategic thinking? Do you thrive in regulated environments and have a passion for modern data practises? If so, we have an exciting opportunity for you! Our client, a leading organisation in the IT/Financial Services sector, is looking for a Data Strategy Manager to join their dynamic team on a temporary basis.

About the Role:

As the Data Strategy Manager, you will play a pivotal role in shaping the data landscape for our client. You will lead the development of data domain strategies, ensuring a seamless end-to-end data flow design. Your collaboration across business and technology teams will drive multiple projects, align strategic objectives and enforcing governance standards. Get ready to make a significant impact!

Who You Are:

Experience in data strategy, data product management, or data transformation

Strong understanding of data platforms, analytics, and modern data architectures is essential.

Global Payments domain expertise: payment rails, clearing/settlement, cross-border flows, correspondent banking, treasury/payments operations is essential

Ability to communicate with both technical teams and business stakeholders

Experience creating strategy documents, roadmaps, and executive presentations

Background in strategy consulting within financial services, ideally from a Big 4 or top-tier consultancy is highly desirable.

Certified in SAFe POPM/Architect, CDMP/DAMA, with additional cloud certifications being a plus.

Key Responsibilities:

Strategic Vision Roadmaps: Define data domain strategies and modernisation pathways while co-developing roadmaps with delivery teams.

Portfolio Intake Discovery: Assess new requests to drive data landscape simplification and governance.

Governance Routines: Lead the adoption of target data patterns, ensuring control efficacy and compliance readiness.

Architectural Vision PI Planning: Align enterprise blueprints with strategic enablers.

Delivery Verticals Support: Validate Epic acceptance criteria and advise on prioritisation and trade-offs.

Voice of Customer Use Case Capture: Serve as the strategy-layer product manager to capture and prioritise use cases for measurable value.

Data-as-Product Advocacy: Promote shared services and champion cultural change across domains.

Global Payments Domain Expertise: Leverage your payment rails knowledge, including ISO20022 and SWIFT MT/MX.

Regulatory Reporting Knowledge: Navigate PSD2/Open Banking and AML/Sanctions reporting controls with ease.

Why Join Us?

Be a part of an innovative team that values your expertise.

Drive strategic initiatives that influence the future of data management in the financial services industry.

Enjoy a collaborative working environment that encourages growth and development.If you are ready to take the next step in your career and make a difference in the world of data strategy, we want to hear from you! Apply today and embark on an exciting journey with our client!

How to Apply:

Send your CV and a cover letter outlining your relevant experience and why you are the perfect fit for this role.

Let's shape the future of data together!

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.