Senior Product Manager, Data Products

Posted 10 Days Ago
Be an Early Applicant
Little Chalfont, Buckinghamshire, England, GBR
In-Office
Senior level
Healthtech
The Role
Lead strategy, roadmap, and delivery of enterprise data and AI products—datasets, semantic layers, APIs, and analytics. Drive adoption of scalable, governed architectures, partner with engineering and stakeholders, integrate AI/ML, manage vendor/governance risks, and align product outcomes to business and regulatory needs.
Summary Generated by Built In

Bring more to life. 

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?  

At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.   

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. 

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.  

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. 

Learn about the Danaher Business System which makes everything possible. 

The Senior Product Manager – Data Products at Cytiva is responsible for shaping, owning, and evolving data and AI products that translate business needs into scalable, high‑value digital solutions.

This role reports to Director, Product Management - Data Products . This role sits within the Digital Data & AI team and is onsite role.

  

What you will do

  • Product Strategy & Vision: Define and lead enterprise data product vision, strategy, and multi-year roadmaps for dedicated business area; Translate ambiguous business challenges into clear, scalable product opportunities; Drive adoption of outcome-based prioritisation and product frameworks; Align product strategy with business value, regulatory needs, and enterprise capabilities.
  • Enterprise Data Product Ownership: Own and evolve end-to-end data products, including datasets, semantic layers, APIs, and AI-enabled capabilities; Ensure products are scalable, reusable, governed, and aligned to enterprise standards; Drive transition from reporting and pipelines to durable data products; Promote best practices for data quality, lineage, and documentation.
  • Cross-Domain Leadership & Delivery: Partner with engineering, data, analytics, and AI teams to deliver high-value outcomes; Remove delivery impediments and ensure alignment to value, scope, and timelines; Promote warehouse-first and scalable architecture patterns.
  • AI & Advanced Analytics Integration: Define how AI/ML capabilities integrate into enterprise data products.
  • Stakeholder Leadership & Influence: Partner with senior stakeholders to align on strategy, priorities, and investment decisions; Act as a trusted advisor across key business areas, IT, and leadership teams; Simplify complex topics into clear, actionable decisions; Potentially represent Cytiva in appropriate external forums, partnerships, and industry initiatives; Foster a culture of ownership, accountability, and continuous improvement.
  • Governance, Risk & Vendor Management: When pursuing a buy strategy, lead evaluation and onboarding of external vendors and SaaS solutions; Ensure compliance with data governance, security, and privacy standards for all data products; Act decisively to mitigate technical, commercial, and reputational risks.

  

Who you are  

  • Experienced strategic product professional with ability to deliver at scale.

  • Strong in both business and technical domains, bridging effectively between them.

  • Comfortable operating in ambiguity and complexity.

  • Data-driven, outcome-focused, and highly pragmatic.

  

Required Qualifications  

  • 8+ years of experience in Product Management, with focus on data, analytics, or AI products.

  • Proven experience delivering enterprise-scale data platforms or products. 

Strong understanding of:  

  • Data warehousing (e.g. Snowflake).

  • Business Intelligence and analytics ecosystems. 

  • AI / ML integration into products.

  • Experience working across multiple business domains and complex stakeholders.

  • Demonstrated ability to drive product-led transformation.

  

Preferred Qualifications  

  • Experience in sustainability, supply chain, or regulated industries.

  • Familiarity with Qlik, Power BI, or similar tools.

  • Experience working with APIs, semantic layers, and modern data architectures.

  • Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. 

For more information, visit www.danaher.com.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. 

For more information, visit www.danaher.com.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Skills Required

  • 8+ years of Product Management experience focused on data, analytics, or AI products
  • Proven experience delivering enterprise-scale data platforms or data products
  • Strong understanding of data warehousing (e.g., Snowflake)
  • Strong understanding of business intelligence and analytics ecosystems
  • Experience integrating AI/ML capabilities into products
  • Experience working across multiple business domains and with complex stakeholders
  • Demonstrated ability to drive product-led transformation
  • Experience in sustainability, supply chain, or regulated industries
  • Familiarity with Qlik, Power BI, or similar BI tools
  • Experience working with APIs, semantic layers, and modern data architectures
  • Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks

Danaher Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.

  • Healthcare Strength Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
  • Retirement Support Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
  • Parental & Family Support Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.

Danaher Corporation Insights

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The Company
HQ: Washington , DC
57,802 Employees
Year Founded: 1984

What We Do

Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.

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