At a Glance
- Tasks: Lead the vision and strategy for innovative data products in life sciences.
- Company: Join Cytiva, a leader in transforming human health through technology.
- Benefits: Competitive salary, career growth, and a supportive team environment.
- Other info: Dynamic role with opportunities to collaborate globally and drive meaningful change.
- Why this job: Make a real impact on life-saving solutions while working with cutting-edge data technologies.
- Qualifications: 8+ years in Product Management with a focus on data and AI products.
The predicted salary is between 72000 - 88000 £ per year.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? 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.
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 and sits within the Digital Data & AI team.
What you will do
- Product Strategy & Vision: Define and lead enterprise data product vision, strategy, and multi-year roadmaps for dedicated business area; 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; 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.
- AI & Advanced Analytics Integration: Define how AI/ML capabilities integrate into enterprise data products; Act as a trusted advisor across key business areas, IT, and leadership teams.
- 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.
Data-driven, outcome-focused, and highly pragmatic.
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. Business Intelligence and analytics ecosystems) and AI / ML integration into products.
- Demonstrated ability to drive product-led transformation.
- 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.
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.
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