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Technical Product Manager – Data Platform
Location
Italy
Posted
17 days ago
Salary
0
Seniority
Senior
Job Description
Technical Product Manager – Data Platform
Prima Power
• 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
Job Requirements
- 5+ years of experience in Product Management or a similar role
- 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.
Benefits
- Work Your Way: Enjoy full flexibility - work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
- Access to learning resources
- Mentorship
- Growth plan tailored to you
- Private healthcare
- Gym discounts
- Wellbeing programs
- Mental health support
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