Data Product Lead
New
Warszawa, rondo Ignacego Daszyńskiego 1, Kraków, Aleja Pokoju 18, Warszawa, Country code: PLFull-TimeSenior
SalaryThe opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
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Job Details
- Languages
- English (B2/Upper-Intermediate or above)
- Experience
- 7+ years
- Required Skills
- PythonSQLProduct AnalyticsDatabricks
Requirements
- Experience in data product management, product analytics, or a related field for 7+ years.
- Proven track record of delivering data-driven solutions that create business value.
- Experience in the fintech domain and building data products within banking compliance contexts.
- Hands-on experience with Databricks and Delta Lake.
- Strong understanding of data governance in regulated environments (BCBS239 and GDPR).
- Deep experience with BI and visualization tools (Tableau, Power BI, DataLens, QlikView).
- Strong experience with product analytics platforms (Amplitude, Mixpanel, Google Analytics).
- Understanding of the modern data stack, including cloud data warehouses (Snowflake, Google BigQuery, Amazon Redshift) and databases (PostgreSQL, MySQL, Oracle).
- Proven ability to translate business strategy into product requirements and define KPIs.
- Exceptional communication and stakeholder management skills.
- Familiarity with hypothesis formulation, A/B testing, and outcome evaluation.
- Level of English – from Upper-Intermediate and above.
Responsibilities
- Defining the vision, strategy, and roadmap for data products, ensuring alignment with business goals and customer needs.
- Prioritizing initiatives to maximize ROI and business impact.
- Leading the end-to-end product lifecycle – from discovery and specification to launch and iteration.
- Translating business objectives into clear requirements for engineering and analytics teams.
- Partnering with senior leaders across the organization to understand priorities, align expectations, and secure buy-in.
- Facilitating workshops and roadmap reviews to drive shared understanding.
- Defining success metrics and KPIs for data products.
- Monitoring adoption, analyzing user behavior (Amplitude, Mixpanel, GA), and driving iterative improvements based on data insights.
- Collaborating with data engineering to ensure data accuracy, consistency, and governance standards, maintaining user trust in delivered insights.
- Driving product adoption through documentation, training, and self-service enablement, empowering business users to make data-driven decisions.
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