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Technical Product Manager - Data Platform

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Prima

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Location:
Italy , Milan

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Technical Product Manager to own our data platform as an internal product - the experience and capabilities that help data engineers, analytics engineers, data analysts and data scientists work with and deliver trusted data faster, safer and more cost-effectively. This role sits at the intersection of product, platform engineering, and data: you’ll own the platform vision and roadmap, drive adoption through excellent internal user experience, and partner closely with engineering to deliver improvements across the data lifecycle on our stack (Databricks, AWS, Python).

Job Responsibility:

  • Own the product strategy for the Data Platform, defining the vision, principles, roadmap, and prioritization framework aligned with business and engineering goals
  • Partner closely with the Head of Data Platform and engineering teams to ensure fast, scalable, and consistent product delivery
  • Act as the voice of internal users by mapping end-to-end journeys - from discoverability and onboarding to adoption, operations, and scaling - identifying friction points and opportunities for improvement
  • Drive product discovery and execution in collaboration with cross-functional stakeholders across Data Platform Engineering, Security, Governance and Analytics
  • Define and monitor success metrics such as adoption, reliability, developer productivity, cost efficiency, time-to-first-value, and data quality to guide prioritization and decision-making
  • Collaborate with engineering teams on technical trade-offs, sequencing, and solution design, helping balance scalability, usability and speed of delivery
  • Champion a product mindset across platform teams, promoting usability, self-service, scalability, reliability, and security-by-default principles
  • Improve platform adoption and enablement through documentation, feedback loops, onboarding experiences, and training initiatives
  • Contribute to building a modern, scalable data ecosystem leveraging Databricks, AWS and Python-based solutions

Requirements:

  • 5+ years of experience in Product Management or a similar role, with strong exposure to internal platforms, developer tools, infrastructure, or data platforms
  • Proven track record of driving user adoption and delivering measurable product outcomes in complex technical environments
  • Strong technical understanding of modern data architectures, workflows, and platform ecosystems
  • Experience working with modern cloud-native data stacks, particularly AWS and Databricks (or equivalent lakehouse/data platform technologies)
  • Ability to engage deeply with topics such as instrumentation, pipelines, monitoring, data quality, and downstream consumption, translating technical complexity into clear product requirements
  • Strong analytical and data-driven mindset with experience defining KPIs, measuring outcomes, and driving continuous improvement
  • Experience operating in cross-functional and ambiguous environments, influencing stakeholders without direct authority
  • Excellent communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to both technical and non-technical audiences
  • Practical familiarity with: AWS services, IAM/security, networking concepts, observability, and cost optimization, databricks and lakehouse architectures, Python and modern data workflow

Nice to have:

  • Previous hands-on experience as a Data Engineer, Analytics Engineer or Software Engineer
  • Familiarity with platform engineering concepts such as golden paths, Internal Developer Platforms (IDP), DevEx metrics, and self-service enablement
  • Experience with data governance, access management, observability and data quality frameworks
  • Exposure to medallion architectures, Delta Lake patterns, and enterprise-scale data product environments
  • Experience building enablement programs including documentation, onboarding flows, and training for internal technical users
What we offer:
  • Full flexibility - work from home, the office or a mix of both
  • Work from anywhere for up to 30 days a year
  • Access to learning resources, mentorship and a growth plan tailored to you
  • Private healthcare, gym discounts, wellbeing programs and mental health support

Additional Information:

Job Posted:
May 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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