Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Strategy Manager

Phoenix Group Holdings
London
6 months ago
Applications closed

Related Jobs

View all jobs

CRM & Data Strategy Analyst

Data Architect (Delivery Manager I)

Senior Data Management Professional - Data Quality - Entities Data (Private Markets)

Senior Data Management Professional - Data Quality - Entities Data (Private Markets) London, GB[...]

Senior Data Engineer

Senior Data Engineer

We have an incredible opportunity as aSenior Data Strategy Managerto join our Business & Enterprise Architecture team.

Location:This role could be based in either our Birmingham, Telford, London or Edinburgh offices with time spent working in the office and at home. 

Flexible working:All of our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process.

Closing Date:25/04/2025

Salary and benefits: £70,000 - £90,00 plus an indicative bonus range of 30%-60%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more. 

Who are we?

We want to be the best place that any of our 6,600 colleagues have ever worked.

We’re the UK’s largest long-term savings and retirement business. We offer a range of products across our market-leading brands, Standard Life, SunLife, Phoenix Life and ReAssure. Around 1 in 5 people in the UK has a pension with us. We’re a FTSE 100 organisation that is tackling key issues such as transitioning our portfolio to net zero by 2050, and we’re not done yet.

The role 

The Senior Data Strategy Manager owns the formulation of a cohesive and publishable Data Strategy that collates and aligns inputs from the virtual Principal Architecture team, Business Architecture and the IT Leadership Team, covering the full spectrum of data capabilities across the entire Phoenix Group.

Key accountabilities but not limited to: 

Building a strong stakeholder base to ensure all inputs to the Data Strategy are brought forward in a timely way and is refreshed on an annual basis Delivering a complete and robust Data Strategy document in line with the timeframes laid down in the IT Control Framework Understanding and summarising the Business context & needs which inform the Data Strategy Setting out the drivers and principles against which the Data Strategy is set Defining the Data Services Group IT will offer to the Business and how these interact with Data services elsewhere Describing the Data Operating Model – covering delivery from Phoenix IT, Phoenix Business and through 3rd party delivered services Articulating the federated Data related Organisation Structure which integrates across Phoenix Group

What are we looking for?

Extensive experience in Data Strategy Development from development to implementation, governance and compliance  Data Quality Assurance to ensure all constituent parts of the Data Strategy align and are convergent Understanding of the Data landscape at an enterprise level – including both technology and data modelling at a logical level Keen eye to detail to exploit opportunities where data assets or capabilities can be exploited elsewhere in group – developing clear cases for these Demonstrated expertise in challenging Business leaders to reduce divergence from the strategy and to highlight exceptions where the data strategy is not being adopted

We want to hire the whole version of you. 

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.

 If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.