Product Manager – Data & Insights

• Lead development of customer-facing dashboards and internal reporting systems
• Own the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling through delivery, governance, and continuous improvement
• Define and execute the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure
• Align reporting solutions with business goals and customer needs
• Collaborate with leadership to prioritize initiatives based on impact, complexity, and business value
• Advise other Product teams on data strategy and design
• Collect business and technical requirements from Finance, Operations, Customer Success, Product, and Engineering
• Develop feature requirements, user stories, acceptance criteria, and data contracts
• Translate ambiguous business questions into reporting needs and KPIs
• Partner with data engineers to co-develop data models and data marts in the data warehouse
• Influence ETL/ELT and dimensional-modeling architectural decisions
• Own and enforce data governance standards, including definitions, taxonomy, lineage, and version control
• Define data quality verification and anomaly-detection processes
• Own the product experience and lifecycle for reporting and BI platforms
• Define self-service analytics capabilities for internal teams
• Create feedback loops to improve dashboard usability and relevance
• Translate between technical and non-technical teams
• Present product updates, reporting insights, and metrics to executives and cross-functional teams
• Facilitate trade-off decisions involving data availability, accuracy, and reporting timelines

• 5+ years of experience in product management, data, analytics, or reporting platforms, with a strong focus on data-driven products
• Proven experience delivering customer-facing reporting products, dashboards, and internal analytics solutions
• Strong understanding of data privacy, governance, and compliance frameworks, including GDPR and PDPL
• Experience working cross-functionally with data engineers, analysts, product teams, UX, and business stakeholders
• Hands-on experience with data warehouses such as ClickHouse, Vertica, or Snowflake
• Hands-on experience with BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma
• Strong SQL skills and understanding of data modeling concepts, including fact and dimension tables and star schemas
• Familiarity with ELT pipelines, dbt, and data orchestration tools is a plus
• Understanding of data quality, data integrity, scalability, and performance considerations
• Ability to define business KPIs and translate business and reporting needs into clear data and product requirements
• Experience contributing to data governance, data integrity, and compliance initiatives
• Ability to balance performance, usability, scalability, and cost
• Strong communication and stakeholder management skills
• Proven ability to lead cross-functional discussions and communicate reporting goals and insights effectively
• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field
• Minimum AI proficiency level L4 (Proficient)
• Hands-on experience with Claude and Lovable
• Ability to write structured prompts and refine prompts rather than manually patching outputs
• Ability to validate insights against source data
• Experience drafting PRDs, user stories, and executive updates with AI assistance while verifying claims and numbers
• Ability to build clickable prototypes in Lovable
• Understanding of AI agents, including prompts, tools, memory, and guardrails
• Ability to identify AI risks including hallucination, bias, data privacy, and over-reliance
• Strong SQL and data analysis skills
• Knowledge of data modeling, dimensional modeling, data marts, and data pipelines
• Understanding of ETL/ELT, dbt, and data orchestration
• Knowledge of data governance, quality, lineage, and compliance
• Understanding of GDPR, PDPL, and data privacy principles
• Ability to define KPIs, data requirements, data contracts, and reporting specifications
• Understanding of scalable, performant, and cost-effective reporting architectures

• Competitive salary and bonus
• Unifonic share scheme
• 30 holiday days after the first anniversary
• Your Birthday off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents