At a Glance
- Tasks: Lead the strategy and development of innovative data and AI products that make a real impact.
- Company: Join Cytiva, part of Danaher, an inclusive employer committed to innovation in life sciences.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving real-world impact in science and technology.
- Why this job: Shape the future of health by transforming complex challenges into scalable solutions.
- Qualifications: 8+ years in Product Management with a focus on data, analytics, or AI products.
The predicted salary is between 70000 - 85000 £ per year.
This job is with Danaher, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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.
Senior Product Manager, Data Products employer: Danaher
At Pall Corporation, we are committed to fostering a culture of belonging and innovation, where your unique perspective is valued. As a fully remote employer, we offer flexible work arrangements that empower you to thrive while making a tangible impact in life sciences and biotechnology. With a strong focus on employee growth and development through the Danaher Business System, you will have the opportunity to enhance your skills and contribute to meaningful projects that advance health and safety globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, Data Products
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Danaher!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Danaher would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Danaher through your school's career services!
We think you need these skills to ace Senior Product Manager, Data Products
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager, Data Products, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager, Data Products position at Danaher. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Danaher
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
