Data Product Manager

Data Product Manager

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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Precision AQ

At a Glance

  • Tasks: Lead the development of data products that drive real business value in healthcare.
  • Company: Join Precision AQ, a leader in healthcare data solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a tangible impact on patient outcomes while working with cutting-edge data technology.
  • Qualifications: 4-5 years in product management with a focus on data platforms and analytics.
  • Other info: Dynamic role with a chance to shape the future of healthcare data.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Precision AQ is building a unified enterprise data platform to consolidate fragmented data infrastructure and establish a single source of truth for healthcare and life sciences analytics. The Data Hub sits at the center of this transformation, responsible for ingesting, governing and delivering trusted data products to internal business units and client‑facing products. We are hiring a Data Product Manager based in the UK or the Netherlands to be the connective tissue between the Data Hub and its consumers. You will own the intake process, translate business needs into well‑defined data products and manage a roadmap that balances strategic priorities with operational realities. This is not a traditional project management role. You will be expected to understand data architecture deeply enough to challenge requirements, negotiate trade‑offs, and define what “done” looks like for data products with real SLAs. You will work across three primary stakeholder groups: Insights Hub, Evidence Solutions, and Product Solutions, each with distinct needs, timelines, and expectations. Your job is to make sure the Data Hub delivers what matters most, in the right sequence, without over‑promising or under‑delivering. Drive clarity and ensure that the work we do translates into measurable business value.

Responsibilities

  • Own the Intake and Prioritisation Process: Design and operate a unified intake process for all data requests across the enterprise. This includes triaging requests, gathering sufficient context to estimate effort, and working with stakeholders to prioritise against competing demands.
  • Define Data Products with Clarity and Precision: Translate business requirements into well‑specified data product definitions, particularly at the Silver (cleansed, conformed) and Gold (business‑ready) layers of the medallion architecture. Document schemas, business logic, refresh cadences, quality expectations, and SLAs. Work closely with the Engineering Director to ensure alignment with platform standards.
  • Manage the Data Hub Roadmap: Own the 12‑18 month roadmap for the Data Hub, balancing near‑term delivery commitments with longer‑term strategic initiatives. Maintain a prioritised backlog, facilitate quarterly planning, and communicate roadmap status to stakeholders at all levels. Be accountable for what we commit to and transparent about what we cannot.
  • Lead Discovery and Requirements Engineering: For complex or ambiguous requests, lead discovery sessions with business stakeholders and technical teams.
  • Establish and Monitor SLAs: Define service‑level agreements for data products, covering freshness, quality, availability, and support response times, and work with engineering to ensure they are met.
  • Facilitate Cross‑Functional Collaboration: Serve as the primary interface between the Data Hub and its consumers, running regular syncs with business units.
  • Drive Adoption and Value Realisation: Track adoption metrics, gather feedback, and work with stakeholders to ensure that what we build actually solves their problems. Report on value delivered and use that evidence to inform future prioritisation.

Education and Experience

  • Bachelor’s degree in a relevant field (business, engineering, computer science, health informatics, or equivalent). An advanced degree is a plus but not required.
  • 4/5+ years in product management, technical program management, or a related role with demonstrated ownership of a product or platform.
  • 2+ years working with data platforms, analytics products, or data infrastructure, not as a user, but as someone responsible for defining and delivering data capabilities.
  • Experience in life sciences, healthcare or pharmaceuticals.
  • Proven ability to manage competing priorities across multiple stakeholder groups with different incentives.
  • Track record of shipping data products or features that were adopted and created measurable business value.
  • Hands‑on experience with Agile methodologies and product management tooling (Jira).

This Role Is For You If

  • You’ve operated as a product manager or technical program manager in a data‑intensive environment and want to own a broader scope.
  • You enjoy the ambiguity of building something new and can create structure where none exists.
  • You are energized by stakeholder complexity and navigating competing priorities.
  • You want to be close to the technical work without being the one writing the code.
  • You care about healthcare or life sciences and want your work to have downstream impact on patient outcomes.

Data Product Manager employer: Precision AQ

At Precision AQ, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in healthcare and life sciences. As a Data Product Manager, you will have the opportunity to work at the forefront of data transformation, with access to professional growth opportunities and a commitment to employee well-being. Our UK and Netherlands locations offer a dynamic environment where your contributions directly enhance patient outcomes and drive business value.
Precision AQ

Contact Detail:

Precision AQ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Product Manager

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for those interviews! Research the company and its products, especially how they relate to data management. Show them you’re not just a fit for the role, but also passionate about their mission.

✨Tip Number 3

Practice your pitch! Be ready to explain how your experience aligns with the Data Product Manager role. Highlight your ability to manage competing priorities and deliver measurable business value.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.

We think you need these skills to ace Data Product Manager

Data Product Management
Stakeholder Management
Data Architecture Understanding
Requirements Engineering
Agile Methodologies
Data Platform Experience
Roadmap Management
Service-Level Agreement (SLA) Definition
Cross-Functional Collaboration
Data Analytics
Prioritisation Skills
Communication Skills
Problem-Solving Skills
Technical Program Management
Business Value Realisation

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data products and stakeholder management. We want to see how your skills align with the role of Data Product Manager, so don’t hold back on showcasing relevant projects!

Showcase Your Data Knowledge: Since this role involves a deep understanding of data architecture, be sure to mention any specific experiences you have with data platforms or analytics products. We love seeing candidates who can speak the language of data and demonstrate their hands-on experience.

Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your past roles and achievements. We appreciate candidates who can communicate complex ideas simply, especially when it comes to defining data products.

Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It helps us keep everything organised and ensures your application gets to the right people quickly. Don’t miss out on this opportunity!

How to prepare for a job interview at Precision AQ

✨Know Your Data Inside Out

As a Data Product Manager, it's crucial to have a solid understanding of data architecture. Brush up on the medallion architecture and be ready to discuss how you would define data products at the Silver and Gold layers. This will show that you can challenge requirements and negotiate trade-offs effectively.

✨Master the Art of Prioritisation

You’ll need to manage competing demands from various stakeholders. Prepare examples of how you've triaged requests in the past and balanced short-term commitments with long-term goals. This will demonstrate your ability to keep the Data Hub focused on delivering what matters most.

✨Communicate Clearly and Confidently

Since you'll be the primary interface between the Data Hub and its consumers, practice articulating complex ideas simply. Be ready to explain how you would facilitate cross-functional collaboration and ensure everyone is aligned on priorities and expectations.

✨Showcase Your Impact

Be prepared to discuss metrics and examples of how your previous work has delivered measurable business value. Highlight any experience tracking adoption metrics and gathering feedback, as this will illustrate your commitment to driving value realisation in your role.

Data Product Manager
Precision AQ
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