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For Companies At a Glance
- Tasks: Lead data product strategy and collaborate with stakeholders to drive impactful analytics solutions.
- Company: Dynamic firm in London offering a competitive salary and generous benefits.
- Benefits: Enjoy a competitive salary, generous benefits package, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data products that drive business success.
- Qualifications: Experience in delivering data products, strong stakeholder management, and SQL/Python skills.
- Other info: Join a self-starting team in a fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: London - various locations
Salary: Competitive salary plus a generous benefits package
Application Deadline: Tuesday, March 31, 2026
Job Summary
- Data Product Strategy & Prioritisation: Partner with senior stakeholders to identify high-impact data and analytics opportunities aligned to firm outcomes (e.g. adoption, AUM growth, adviser productivity, retention). Define clear product visions, problem statements and measurable success criteria. Run demand intake, triage and prioritisation, maintaining a transparent roadmap. Balance short-term wins with long-term platform coherence.
- Requirements, Technical Briefing & Delivery Enablement: Translate stakeholder needs into clear, prioritised technical briefs including data requirements, entity definitions, metric logic and edge cases, acceptance criteria and non-functional considerations. Produce high-quality delivery artifacts (epics, user stories, validation expectations, release notes). Partner with engineers and analysts to shape solution approaches, ensuring feasibility, maintainability and performance. Manage scope, dependencies and risks to maintain delivery momentum.
- Data Product Design Principles: Ensure data products are built on sound modelling principles and reusable datasets. Champion clear metric definitions and semantic consistency across reporting and analytics. Ensure governance considerations (quality, ownership, access, documentation) are designed into solutions from the outset. Promote conventions that improve trust and reduce duplication without introducing unnecessary bureaucracy.
- Adoption, Impact & Iteration: Define measurable adoption and impact metrics for each product. Plan enablement, communication and feedback loops to embed solutions into day-to-day workflows. Monitor usage, trust and performance, driving continuous iteration. Establish clear post-launch ownership and lifecycle management.
- Technical Fluency & Hands-On Contribution: Be comfortable validating logic, querying data, reviewing metric definitions and testing edge cases. Provide technical challenge and quality input without becoming a delivery bottleneck. Support prototyping and rapid experimentation.
Key Competencies
- Essential: Proven experience delivering and iterating data or analytics products end-to-end. Strong stakeholder management and cross-functional delivery leadership. Demonstrated ability to prioritise effectively and manage trade-offs. Working capability in SQL (data exploration, logic validation, metric definition). Working capability in Python (analysis, prototyping, automation). Strong understanding of data modelling and scalable analytical datasets. Practical understanding of governance concepts (quality, ownership, access, documentation) and how to embed them into delivery. Self-starter who creates structure, drives clarity and delivers outcomes.
- Desirable: Experience with analytics engineering patterns and tooling. Experience building or guiding lightweight front-end/internal apps (e.g., Streamlit, Power Apps, React/Next, or similar) to prototype workflows and accelerate learning. Exposure to AI/ML delivery lifecycle and operationalisation (data readiness, monitoring, model risk controls).
Data Solutions Manager employer: Killik & Co
Contact Detail:
Killik & Co Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data solutions. We recommend role-playing with a friend to boost your confidence!
✨Tip Number 3
Showcase your skills! Bring examples of your past work or projects to the interview. This gives you a chance to demonstrate your technical fluency and problem-solving abilities.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great way to reiterate your fit for the position.
We think you need these skills to ace Data Solutions Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Solutions Manager role. Highlight your experience with data products and stakeholder management, and show how your skills align with our needs at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your working capability in SQL and Python! We want to see how you can validate logic and define metrics, so include specific examples of your technical fluency in your application.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your experiences and achievements, making it easy for us to see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at Killik & Co
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling and analytics principles. Brush up on SQL and Python, as you'll likely be asked to demonstrate your technical fluency. Being able to discuss how you’ve used these skills in past projects will show that you can hit the ground running.
✨Master Stakeholder Management
Prepare examples of how you've successfully partnered with stakeholders in previous roles. Think about specific instances where you identified high-impact opportunities or managed trade-offs effectively. This will highlight your ability to lead cross-functional teams and deliver results.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you translate stakeholder needs into clear, prioritised technical briefs. Bring examples of how you’ve defined product visions and success criteria in the past. This will demonstrate your strategic thinking and ability to drive clarity in complex situations.
✨Emphasise Continuous Improvement
Talk about how you monitor usage and performance post-launch, and how you’ve iterated on products based on feedback. Highlighting your commitment to continuous improvement will show that you’re not just about delivering a product, but also about ensuring its long-term success.