Product Manager - Data & Insights

Role overview

Responsibilities

• Define and execute roadmaps for customer analytics, reporting portals, and internal reporting infrastructure; prioritize work with leadership and advise Product teams on data strategy.
• Gather stakeholder requirements and create feature requirements, user stories, acceptance criteria, data contracts, reporting needs, and KPIs.
• Partner on warehouse data models and data marts; influence ETL/ELT processes, dimensional modeling, and architecture decisions.
• Enforce data governance standards for definitions, taxonomy, lineage, and version control; define data quality and anomaly detection processes.
• Own reporting and BI platform experiences and define self-service analytics; continuously improve dashboard usability and relevance.
• Present product updates, reporting insights, and metrics; facilitate decisions on data availability, accuracy, and timelines.
• Lead product-wide data compliance initiatives and ensure secure, responsible data management.

Experience and qualifications

• 5+ years of experience in product management, data, analytics, or reporting platforms, with a focus on data-driven products.
• Proven delivery experience for customer-facing reporting products, dashboards, and internal analytics solutions.
• Experience working with data engineers, analysts, product teams, UX, and business stakeholders.
• Experience with data warehouses such as ClickHouse, Vertica, or Snowflake and BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma.
• Strong SQL and data modeling knowledge, including fact and dimension tables and star schemas.
• Knowledge of privacy, governance, compliance, data quality, integrity, scalability, and performance, including GDPR and PDPL.
• Ability to define KPIs and translate business and reporting needs into data and product requirements; strong communication and stakeholder management.
• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.
• Familiarity with ELT pipelines, dbt, and data orchestration tools is a plus.

Craft and toolkit

• Strong SQL and data analysis skills; knowledge of warehouses, data modeling, data marts, and data pipelines.
• Experience with BI and reporting tools such as Looker, Tableau, Power BI, Sigma, or Metabase.
• Understanding of ETL/ELT, dbt, data orchestration, governance, data quality, lineage, and compliance.
• Ability to define KPIs, data requirements, data contracts, and reporting specifications, and design scalable, performant, cost-effective reporting architectures.

AI proficiency

• Minimum AI proficiency level L4; use AI across product discovery, specification, prototyping, and stakeholder communication while owning output accuracy.
• Use Claude and Lovable, structured prompts, and AI-assisted research, specifications, prototypes, and executive updates; verify claims and insights against source data.
• Build clickable Lovable prototypes for stakeholder validation and distinguish prototypes from production-ready systems.
• Understand AI agents, including prompts, tools, memory, and guardrails; identify automation opportunities and flag hallucination, bias, privacy, and over-reliance risks.

Working style

• The description emphasizes analytical problem-solving, ownership, communication, collaboration, adaptability, mentorship, resilience, attention to detail, and advocacy for innovation.

Benefits

• Competitive salary and bonus, a share scheme, 30 holiday days after the first anniversary, and a birthday day off.
• Option to work from anywhere in the world for up to 25 days per year and paid leave for new parents.