Senior Data Strategy Manager

Phoenix Group Holdings
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Strategy - Manager/Senior Manager

Data Strategy Senior Manager- FMCG

Data Strategy Senior Manager- FMCG

Senior Data Governance Manager

Senior Data Architect - Data Strategy & Governance

Senior Data Solutions Architect – Cloud & Data Strategy

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.

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

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.