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 focuses on continuous technological development, architectural sustainability, and high team autonomy. It specializes in creating innovative turnkey and white-label solutions for Gaming operators, integrating top gaming products, and supporting clients throughout the licensing process in the Gaming industry. Its deep expertise has enabled successful project launches across multiple international markets. A distributed team of over 400 professionals working across two offices in Central and Eastern Europe.

Responsibilities

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 together with clients, internal stakeholders, and Product Owners.
- Identify the 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 rather than simply exposing raw data.
- Define requirements for data availability, freshness, granularity, performance, and accuracy from a product perspective.
- Drive the Reporting module through the full product lifecycle: discovery → prioritization → delivery → adoption → measurement → iteration.
- Define product KPIs for the Reporting & Analytics module, including adoption, usage, engagement, performance, and customer value.
- Collect client feedback and usage data to continuously improve the module.
- Product Analytics for the Product Department
- Build and own the product analytics framework used by Product Owners across the organization.
- Define a consistent framework for measuring product performance.
- Establish standard product metrics and measurement principles.

Build dashboards and analytical tools for:
- feature adoption and usage
- funnels and conversion
- retention and cohorts
- engagement
- monetization
- product and feature performance

Partner with Product Owners to define success metrics before development starts.
- Ensure major product releases and initiatives have appropriate measurement plans.
- Support Product Owners with hypothesis validation and feature impact analysis.
- Help teams distinguish between output metrics and actual product/business outcomes.
- Enable Product Owners to independently access and interpret the data required for everyday product decisions.

Experimentation & Product Discovery
- Develop a systematic approach to experimentation and evidence-based product development.
- Establish an A/B testing and experimentation framework.
- Define standards for hypotheses, experiment design, success metrics, statistical interpretation, and post-experiment analysis.
- Support Product Owners in designing experiments and evaluating results.
- Use behavioral and product data to identify new product opportunities and pain points.
- Combine quantitative analytics with qualitative insights from clients and users.
- Promote continuous discovery based on product data rather than ad-hoc reporting requests.

BI Strategy & Data Architecture
- Define and execute BI strategy across the company
- Partner with Data/Engineering teams to ensure that the underlying data foundation supports both client-facing reporting and internal product analytics.
- Define business and product requirements for analytical data models.
- Establish consistent metric definitions and ownership.
- Ensure a single source of truth for critical product and business metrics.
- Define requirements for data quality, availability, freshness, and traceability.
- Identify gaps in tracking and instrumentation and drive the