At a Glance
- Tasks: Lead data strategy to drive growth and improve decision-making across the business.
- Company: Dynamic company focused on transforming data into a strategic asset.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
- Other info: Join a diverse team that values autonomy and impactful contributions.
- Why this job: Shape how data drives business transformation and empowers teams.
- Qualifications: Experience in data strategy, governance frameworks, and storytelling with data.
The predicted salary is between 36000 - 60000 £ per year.
Location: West Midlands (Hybrid)
Engagement: Permanent
About the Role
Our client believes that data should power every decision, not just report on them. The Data Strategy Lead will shape how the business defines, governs, and uses data to drive growth, efficiency, and customer value. You’ll build the structures, tools, and behaviours that turn data into a trusted strategic asset. This is a role for someone who can connect vision to execution, able to design frameworks one day and translate insight into action the next.
What You’ll Do as Data Strategy Lead
- Define and lead the data strategy that aligns to business goals and unlocks measurable value.
- Build and embed data governance frameworks that ensure accuracy, consistency, and confidence.
- Drive the design and adoption of data models, processes, and tools that improve decision-making.
- Partner with leadership teams to surface insights that shape commercial and operational priorities.
- Champion a culture of data literacy and enablement — helping people across the business use data to make better choices.
What You Bring
- A track record of creating or transforming data strategies in complex or growing organisations.
- Strong understanding of enterprise data models (ERP, CRM, reporting platforms).
- Experience designing governance frameworks and improving data quality.
- The ability to tell compelling stories with data — not just build dashboards.
- Comfort navigating both strategic and hands-on delivery.
- Credibility with senior stakeholders and the communication skills to influence them.
Who You Are
- Commercially minded, outcomes-driven, and pragmatic.
- Curious about how data drives growth, not just compliance.
- Confident leading through influence, not hierarchy.
- Passionate about building clarity from complexity and helping teams make smarter decisions.
In this role, as Data Strategy Lead, you’ll be part of a team that values autonomy, clarity, and impact. You’ll shape how data enables business transformation, not just how it’s reported.
Our Commitment
Entasis Partners is committed to helping clients create a diverse environment and is proud to support equal-opportunity employment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Data Strategy Lead employer: Entasis Partners
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StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy Lead
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Entasis Partners.
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We think you need these skills to ace Data Strategy Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Entasis Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Entasis Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Entasis Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Entasis Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.