Senior IT Product Manager.

Medtronic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Manager

Senior Manager, Data Science - eBay Live

Senior Machine Learning Scientist

Senior Data Scientist

Informatics Data Science Manager

Informatics Data Science Manager

Careers that Change Lives 
Medtronic-Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. 

We are currently looking for an exceptional product manager to oversee the development of our data & AI platform. You will work with computer vision, data science & governance teams, to understand their needs and convert them into features. Working with our engineering teams, you will ensure that our data & AI platform is performant and scalable to meet the growing demand for data products within Medtronic. Successful delivery of our data and AI platform capabilities will ultimately accelerate intelligent solutions that empower surgeons and improve outcomes for patients.

A Day in the Life 
Responsibilities includes:
• Develop and communicate a clear product vision and strategy for the data platform
• Understand and incorporate data ethics and information governance policies into product solutions
• Define and prioritise product features and enhancements based on user feedback, business priorities
• Serve as the primary point of contact for internal stakeholders regarding the data platform 
• Gather feedback from internal customers and work with engineering to convert that feedback into detailed product specifications and acceptance criteria
• Maintain documentation, ensuring platform features meet Medtronic's governance standards

Must Haves 
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field 
• Proven experience (5+ years) as a Product Manager, with a focus on data platforms, big data, or machine-learning development
• Strong understanding of data engineering, data science and machine learning concepts and workflows
• Experience working with modern data & cloud technologies (e.g., Kafka, Spark, Kubernetes, Docker, etc.)
• Excellent analytical, problem-solving, and decision-making skills
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Excellent organizational skills and experience maintaining project documentation
• Familiarity with Agile/Scrum methodologies and experience using product management tools (e.g., Jira, Trello, etc.)

Nice to Haves
• Experience in an R&D environment
• Familiarity with developing products in a regulated environment
• Knowledge of data governance, security, and compliance best practices as they relate to software as a medical device
• You are flexible – you can independently solve problems as they arise but are comfortable asking for help when needed

We Offer
We offer a competitive salary and benefits package to all our employees:
• Flexible working environment
• Annual Incentive Plan % depending on company results
• Pension scheme and group discount on healthcare insurance 
• Training possibilities via Cornerstone/Skills Lab
• Employee Assistance Program and Recognize! (our global recognition program)

Our Commitment
Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.