Product Manager - Analytics & Data Products

Microlise; Newthorpe; On-site; GBP 20,000 - 60,000; Full time

Benefits offered by this job

Private medical insurance

33 days holiday including bank hols

Life assurance

Costco membership

Discounts

Wellbeing support

Employee Assistance Programme

Job summary

Microlise is seeking a Product Manager – Analytics & Data Products to shape the vision and roadmap for analytics and AI-enabled offerings. You will work with customers and engineering, data and commercial teams to transform complex data into practical products that drive customer outcomes and commercial value.

Reporting to the Head of Product, you will translate strategy into deliverables, collaborate across teams, and support product launches and adoption.

Qualifications

• Strong understanding of analytics, reporting and data-driven products.
• Experience developing product strategy and executable roadmaps.
• Hands-on approach with Product Owners and Agile development teams.
• Strong communication and stakeholder management, engaging customers and senior leaders.
• Analytical and problem-solving skills with business awareness.
• Experience supporting go-to-market activity with Sales/Pre-Sales.
• Desirable: cloud platforms (AWS) and cloud-native architectures.
• Desirable: AI-enabled products, data platforms, APIs, integration, governance or data quality.
• Desirable: experience in telematics, logistics, fleet management or IoT.

Responsibilities

• Define and communicate the product vision and roadmap for analytics, data products and AI applications.
• Identify market opportunities through customer research, trends and competitor analysis.
• Own products and services covering reporting, dashboards, analytics and data services.
• Develop business cases and prioritise investments based on customer value and commercial return.
• Collaborate with customers to understand reporting, integration and decision-support needs.
• Identify opportunities to apply AI/ ML to real customer challenges with measurable value.
• Work with Product Owners, Engineering, UX and Data teams to translate strategy into deliverables.
• Prioritise product backlogs based on customer value and technical considerations.
• Collaborate with Sales, Pre-Sales, Customer Success and Marketing on launches and adoption.
• Define product KPIs and drive continuous portfolio improvement.

Skills

Analytics

Communication

Stakeholder management

Go-to-market

Agile / product ownership

AI awareness

AWS / cloud

IoT domain knowledge

Cross-functional collaboration

Tools

AWS

Cloud Computing

IoT

Machine Learning

AI

Job description

Salary: £20,000 - 60,000 per year

Requirements

• At least 35 years experience as a Product Manager.
• Strong understanding of analytics, reporting and data-driven products.
• Experience developing product strategy and turning it into clear, executable roadmaps.
• 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.
• Desirable: 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.

Responsibilities

• 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.

Technologies

• AI
• AWS
• Cloud
• IoT
• Support
• Machine Learning
• Marketing
• Product Manager
• UX UI Design
• Mobile

More

Were Microlise, a proudly Midlands‑based company that has operated for over thirty years and is now publicly listed on the London Stock Exchange. Were 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 our Head of Product, youll work with customers and our Engineering, Data and commercial teams to turn complex data into products that improve customer outcomes and create commercial value. Well provide full support and training.

Benefits include private medical insurance with Vitality Health, 33 days holiday including bank holidays (increasing to 38 days and further with length of service), life assurance at four times your annual salary, Costco membership, discounts, wellbeing support and an Employee Assistance Programme.

• private medical insurance with Vitality Health
• 33 days holiday including bank holidays (increasing to 38 days and further with length of service)
• life assurance at four times your annual salary
• Costco membership
• discounts
• wellbeing support
• an Employee Assistance Programme

We’re Great Place to Work certified and have been recognised as a UK Best Workplace for Development, Technology, Wellbeing and Women.