Product Manager - Data & Insights

Role Overview

Key Responsibilities

• Define and execute the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure.
• Collect business and technical requirements from cross-functional stakeholders including Finance, Operations, Customer Success, Product, and Engineering.
• Develop detailed feature requirements, user stories, acceptance criteria, and data contracts for reporting systems.
• Partner closely with data engineers to co-develop data models and data marts in the data warehouse.
• Own and enforce data governance standards including data definitions, taxonomy, lineage, and version control.
• Define processes for data quality verification and anomaly detection in collaboration with engineering and analytics teams.
• Own the product experience and lifecycle for reporting and BI platforms.
• Define self-service analytics capabilities for internal teams and create feedback loops to improve dashboard usability.
• Act as the bridge between technical and non-technical teams, translating business needs into technical requirements and vice versa.
• Present product updates, reporting insights, and metrics to executives and cross-functional teams.

Requirements

• 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, and BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma.
• Strong SQL skills and a solid 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 when building reporting solutions.
• 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.
• Strong communication and stakeholder management skills.
• Bachelor's degree in Computer Science, Data Science, Business, Engineering, or a related field.

Craft and Toolkit

• Strong SQL and data analysis skills.
• Experience with data warehouses such as Snowflake, ClickHouse, or Vertica.
• Knowledge of data modeling, dimensional 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, 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.

AI Proficiency

Benefits

• 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.