Product Manager - Analytics & Data Products

Microlise; Langley Mill; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Private medical insurance

33 days holiday including bank hols

Life Assurance (4x salary)

Costco membership

Job summary

Microlise is seeking a Product Manager for Analytics & Data Products to shape the vision, roadmap and commercial success of our analytics portfolio. You will collaborate with customers, Engineering, Data and commercial teams to convert complex data into valuable products and insights.

You'll explore AI opportunities to enhance experiences and automate workflows, while guiding strategy into deliverable outcomes with Product Owners and agile teams.

Qualifications

• 3–5 years of product management experience.
• Strong background in analytics and data products.
• Ability to turn strategy into executable roadmaps.
• Hands-on with Agile software development teams.

Responsibilities

• Define product vision and roadmap for analytics and data products.
• Identify market opportunities via research and trends.
• Own reporting, dashboards, analytics and data services.
• Develop business cases and prioritise investment value.
• Collaborate with customers, engineering, UX and data teams.

Skills

Product management

Analytics & data products

Agile software development

Stakeholder management

Cloud platforms (AWS)

Tools

AWS

Job description

Product Manager - Analytics & Data Products

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At Microlise, we're passionate about using technology and data to solve real-world challenges for our customers. We're looking for a Product Manager - Analytics & Data Products to shape the vision, roadmap and commercial success of our growing analytics and data portfolio.

Reporting to the Head of Product, you'll work with customers, Engineering, Data and commercial teams to shape the strategy and roadmap for reporting, dashboards, analytics and data services – turning complex data into products that improve customer outcomes and create commercial value.

You'll also help identify where AI and machine learning could enhance customer experiences, automate workflows and unlock new insights. If you're a hands‑on Product Manager who combines customer curiosity, commercial thinking and a strong understanding of analytics and data products, this could be a great opportunity to make a real impact.

What you’ll be doing

• Define and communicate the product vision and roadmap for analytics, data products and relevant applications of AI.
• Identify market opportunities through customer research, industry trends and competitor analysis.
• Own products and services covering reporting, dashboards, analytics and data services.
• Develop business cases and prioritise investment based on customer value and commercial return.
• Work with customers to understand their reporting, integration and decision‑support requirements.
• Identify opportunities to apply AI and machine learning to real customer challenges, ensuring new capabilities deliver measurable value.
• Collaborate with Product Owners, Engineering, UX and Data teams to translate strategy into deliverable outcomes.
• Prioritise product backlogs based on customer value, business objectives and technical considerations.
• Partner with Sales, Pre‑Sales, Customer Success and Marketing to support product launches, adoption and customer engagement.
• Define product KPIs, use customer and usage insights to guide decisions, and drive continuous improvement across the portfolio.

You’ll thrive in this role if you have:

• At least 3–5 years' experience as a Product Manager.
• A strong understanding of analytics, reporting and data-driven products.
• Experience developing product strategy and turning it into clear, executable roadmaps.
• A hands‑on approach and experience working closely with Product Owners and Agile software development teams.
• Strong communication and stakeholder management skills, with confidence engaging customers and senior leaders.
• Strong analytical and problem-solving skills, with the commercial awareness to balance customer needs and business objectives.
• Experience supporting go‑to‑market activity and working with Sales or Pre‑Sales teams.
• Experience with cloud‑based platforms, AWS services or cloud‑native architectures (desirable).
• Knowledge of AI‑enabled products, data platforms, APIs, integration, governance or data quality (desirable).
• Experience within telematics, logistics, fleet management or IoT environments (desirable).

Why Microlise?

Proudly Midlands-based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people.

• Full support and training to ensure you are well equipped to succeed in your role.
• Private medical insurance with Vitality Health including rewards for members such as: Apple Watch, discounted gym membership and many more.
• 33 days holiday, including bank holidays, increasing year on year to 38 days, then further increases with length of service.
• Life Assurance, 4 times your annual salary.
• Free Costco membership, 20% off EE mobile and line rental, and other discounts with Appreciate Discounts.
• Invested in employee health and well‑being with over 20 mental health first aiders in the business.
• Employee Assistance Programmes.
• Great staff extras: Easter eggs, yearly BBQ, Christmas gifts, annual staff awards and many more incentives.
• Great Place to Work certified – We have been recognised by the global authority on workplace culture, so come be a part of our success.
• Best Workplace in the UK for Development, Technology, Wellbeing and Women.

Recruitment Process

For successful candidates, interviews will take place whilst the advert is still live; so don’t delay getting your application in!

Recruitment Agencies

Whilst we make every effort to directly source candidates for our live roles, we do have a very small preferred supplier list on the occasion we may require additional support. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Managers