At a Glance
- Tasks: Lead a cross-functional team to create impactful data products and insights.
- 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 environment with a focus on innovation and collaboration.
- Why this job: Shape the future of data insights and drive real business impact.
- Qualifications: 5-10 years in data roles with leadership experience; 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 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
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data product capabilities. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company’s data needs. Research their current data products and think about how you can add value. Tailor your answers to show you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application easier for both of us.
We think you need these skills to ace Data & Insight Manager
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data shine through! We want to see how you've turned data into actionable insights in your past roles. Share specific examples that highlight your experience and passion for data products.
Tailor Your Application:Make sure to customise your application for the Data & Insight Manager role. We love it when candidates align their skills with our job description. Highlight your experience in leading cross-functional teams and delivering scalable data solutions that meet business needs.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on how your skills and experiences directly relate to the responsibilities outlined in the job description. This will help us see your fit for the role quickly!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Tain
✨Know Your Data Inside Out
Make sure you’re well-versed in the data landscape relevant to the role. Brush up on data pipelines, modelling, and warehousing concepts. Being able to discuss how these elements contribute to actionable insights will show your depth of understanding.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading cross-functional teams. Discuss how you've driven clarity in roles and responsibilities, and how you’ve fostered collaboration between data and business stakeholders. This will demonstrate your capability to manage and inspire a team.
✨Align with Business Needs
Be ready to talk about how you’ve translated business needs into scalable data solutions in the past. Think of specific initiatives where you prioritised data projects that aligned with measurable business outcomes. This shows you can bridge the gap between data and business effectively.
✨Emphasise Data Governance and Quality
Discuss your approach to ensuring data quality and trust within an organisation. Share experiences where you defined data ownership and accountability, and how you established frameworks for consistency in key business metrics. This is crucial for the role and will set you apart.
