Product Lead/Product Owner (BI Reporting)

Since 2012, our client has been developing a scalable SaaS platform and a range of digital products, establishing itself as a reliable market partner. The company specializes in innovative turnkey and white-label solutions for Gaming operators, integrating top gaming products and supporting clients throughout the licensing process in the Gaming industry. The distributed team comprises over 400 professionals across two offices in Central and Eastern Europe.

• 3+ years in analytics / BI roles, including leadership experience
• Strong understanding of product management practices including product discovery, roadmap and backlog prioritization, requirements definition
• Strong understanding of BI concepts, data modeling, metric definitions, and reporting architecture
• Experience with BI and visualization tools; experience with Microsoft Power BI is a plus
• Experience in iGaming, fintech, marketplaces, or other high-volume transactional B2B products is a strong advantage

Product ownership of Backlog of Analytics Module:

• Define the product vision and strategy for Reporting & Analytics.
• Own and prioritize the product roadmap and backlog.
• Translate client and business needs into product requirements, user stories, and analytical capabilities.
• Lead product discovery with clients and internal stakeholders.
• Identify key reporting and analytical jobs-to-be-done for Operators.
• Define reporting UX, workflows, drill-down capabilities, filters, exports, and self-service analytics.
• Work closely with Product Design and Engineering to deliver intuitive reporting experiences.
• Define requirements for data availability, freshness, granularity, performance, and accuracy.
• Drive the Reporting module through the full product lifecycle.
• Define product KPIs including adoption, usage, engagement, performance, and customer value.
• Collect client feedback and usage data for continuous improvement.

Product Analytics for the Product Department:

• Build and own the product analytics framework.
• Define consistent framework and standard metrics for measuring product performance.
• Build dashboards and analytical tools for feature adoption, funnels, retention, engagement, monetization, and performance.
• Partner with Product Owners to define success metrics and ensure measurement plans.
• Support hypothesis validation and feature impact analysis.
• Enable Product Owners to independently access and interpret data.

Experimentation & Product Discovery:

• Develop systematic approach to experimentation and evidence-based product development.
• Establish A/B testing and experimentation framework.
• Define standards for hypotheses, experiment design, success metrics, statistical interpretation, and analysis.
• Support Product Owners in experiment design and results evaluation.
• Use quantitative and qualitative data to identify opportunities and pain points.
• Promote continuous discovery based on product data.

BI Strategy & Data Architecture:

• Define and execute BI strategy company-wide.
• Partner with Data/Engineering teams to support client-facing reporting and internal analytics.
• Define business and product requirements for analytical data models.
• Establish consistent metric definitions and ownership.
• Ensure single source of truth for critical metrics.
• Define requirements for data quality, availability, freshness, and traceability.
• Identify and resolve tracking and instrumentation gaps.
• Ensure new features include appropriate analytics instrumentation.

Leadership & Team Building:

• Hire and manage BI / Analytics team.
• Collaborate cross-functionally with Product, Finance, CRM, and Tech.