At a Glance
- Tasks: Lead the vision and strategy for data products that transform human health.
- Company: Cytiva, a life sciences company dedicated to saving lives through innovation.
- Benefits: Competitive salary, career growth, and a culture of belonging.
- Other info: Join a dynamic team committed to continuous improvement and real-world solutions.
- Why this job: Make a real impact in life sciences while working with cutting-edge technology.
- Qualifications: 8+ years in Product Management with a focus on data and AI products.
The predicted salary is between 63000 - 77000 £ per year.
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.
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 in Amersham employer: Danaher Corporation
Danaher Corporation is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from comprehensive training and development opportunities, ensuring continuous growth in their technical skills while enjoying the autonomy of on-site work. With a commitment to employee well-being and a supportive team environment, Danaher stands out as a rewarding place for those seeking meaningful careers in technology and service.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, Data Products in Amersham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Danaher Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Product Manager, Data Products at Danaher Corporation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Danaher Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Product Manager, Data Products at Danaher Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Product Manager, Data Products in Amersham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Danaher Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Danaher Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Danaher Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Danaher Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
