At a Glance
- Tasks: Lead a cross-functional team to deliver actionable data insights and scalable solutions.
- Company: Join a forward-thinking organisation focused on data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by transforming data into valuable business insights.
- Qualifications: 5-10 years in data roles with leadership experience and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 € per year.
The Data & Insights Manager is responsible for building and operating a data product capability that enables scalable, reliable, and actionable insights across the organisation. This role goes beyond traditional reporting and is accountable for bridging business needs with data platform capabilities, ensuring that data is structured, governed, and delivered as reusable products.
Key Responsibilities
- Data Product Ownership & Roadmap
- Define and own the data product roadmap
- Translate business needs into scalable data solutions
- Prioritise initiatives across BI, engineering, and architecture
- Ensure delivery is aligned to measurable business outcomes
- Team Leadership & Operating Model
- Lead and develop a cross‑functional data team (Analysts, Engineers, Architect, Scientist)
- Establish and enforce a Data‑as‑a‑Product operating model
- Drive clarity of roles, responsibilities, and ways of working
- Stakeholder Management
- Act as primary interface between data and business stakeholders
- Align Commercial, Product, Finance, Risk, Operations and Technology on data priorities
- Drive adoption of data products and insights
- Data Governance & Quality
- Define and enforce data ownership and accountability
- Ensure consistency of key business metrics
- Establish data quality and trust frameworks
- Delivery & Execution
- Own prioritisation and backlog management
- Ensure timely and high‑quality delivery of data products
- Balance short‑term reporting needs with long‑term platform investments
Required Skills & Experience
- 5–10+ years experience in data, analytics, or data product roles, with at least 3+ years in a leadership or management capacity
- Proven experience owning end‑to‑end delivery of data initiatives, from requirements through to adoption
- Experience managing or leading cross‑functional data teams (e.g. analysts, engineers)
- Strong data product mindset, with experience delivering scalable, reusable data solutions (not just reports or dashboards)
- Solid understanding of:
- Data pipelines (ETL/ELT concepts)
- Data modelling (e.g. fact/dimension, semantic layers)
- Data warehousing / lakehouse concepts
- Experience working closely with Data Engineering and Architecture teams
- Strong stakeholder management skills, with the ability to influence across business and technology teams
- Ability to translate complex data into clear, actionable business insights
- Proven ability to prioritise and balance short‑term delivery vs long‑term platform investment
- Comfortable operating in fast‑paced, evolving environments with ambiguity
Nice to Have
- Experience building or operating in a Data‑as‑a‑Product environment
- Experience in iGaming, fintech, or other transactional platforms
- Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Airflow)
- Experience with API‑driven or event‑based systems
- Exposure to real‑time or near real‑time data processing
- Experience supporting or enabling AI/ML initiatives
- Background in both technical and business‑facing roles
Success Metrics
- Adoption and usage of data products
- Improved speed and quality of decision‑making
- Data consistency and trust across the organisation
- Delivery against roadmap and business impact
Data & Insight Manager in London employer: Tain
As a Data & Insight Manager at our organisation, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, ensuring that you can develop your skills while making a meaningful impact on our data-driven initiatives. Join us in a location that fosters creativity and teamwork, where your contributions will directly influence our strategic direction and success.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insight Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and insights field. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and insights. This could be anything from dashboards to case studies. When you apply through our website, include this portfolio to give us a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your data product knowledge. Be ready to discuss how you've translated business needs into actionable data solutions. We love candidates who can demonstrate their thought process and problem-solving skills!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the Data & Insight Manager position!
We think you need these skills to ace Data & Insight Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data & Insight Manager role. Highlight your experience in data product ownership and team leadership, and don’t forget to showcase any relevant projects that demonstrate your ability to deliver scalable data solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your skills align with our mission at StudySmarter. Be sure to mention specific experiences that relate to the job description.
Showcase Your Leadership Skills:Since this role involves leading a cross-functional team, make sure to highlight your leadership experience. Share examples of how you've successfully managed teams and driven data initiatives in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Tain
✨Know Your Data Inside Out
Make sure you’re well-versed in the data concepts mentioned in the job description. Brush up on your knowledge of data pipelines, modelling, and warehousing. Being able to discuss these topics confidently will show that you understand the technical side of the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've led cross-functional teams in the past. Highlight your experience in managing analysts and engineers, and be ready to discuss how you’ve driven clarity in roles and responsibilities. This will demonstrate your capability to lead a diverse team effectively.
✨Align with Business Needs
Think about how you can bridge the gap between data capabilities and business needs. Be prepared to discuss specific instances where you translated business requirements into actionable data solutions. This will illustrate your ability to prioritise initiatives that align with measurable business outcomes.
✨Emphasise Stakeholder Management
Stakeholder management is key for this role. Prepare to talk about how you’ve influenced decisions across different teams. Share examples of how you’ve driven the adoption of data products and insights, as this will highlight your ability to communicate effectively with both technical and non-technical stakeholders.
