Data Product Manager / Lead – FinTech (BNPL & Payments)

120 - 190 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#476000·Dodano dziś·1

Źródło: People More

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Tech Stack / Keywords

SQL DatabricksAI agentsLLMfeature storeslakehouse architectureML/MLOps

Podsumowanie oferty

Lead the development of data products for BNPL and Payments, including feature stores, decisioning datasets and self-service analytics. Define product roadmaps and translate business, credit and ML requirements into specifications for Data Engineering and ML teams. The role also drives AI agent use in decision-making and data product delivery.

Wymagania

At least 5 years of experience in Data Product Management or managing data platforms and analytics products.
At least 3 years of experience in FinTech, credit, lending or payments, including knowledge of BNPL, underwriting or acquiring processes.
Proven experience defining and managing data product roadmaps, particularly for feature stores, decisioning datasets and self-service analytics.
Hands-on SQL skills and a solid understanding of data quality, freshness, lineage and point-in-time correctness.
Ability to translate business, credit risk and ML requirements into clear, actionable technical specifications.
At least 2 years of experience in AI-first data product initiatives, including AI agents, guardrails, evaluations and human-in-the-loop approaches.
Experience leading or coordinating technical and analytical teams, including resource and capacity planning.
Understanding of regulatory requirements related to credit, payments and data management.
Experience collaborating with Data Engineering, ML and business stakeholders across multiple product areas.
Very good English and Polish.

Obowiązki

Define, manage and prioritise roadmaps for data products, including feature stores, decisioning and underwriting datasets, and self-service analytics solutions.
Align product priorities and investments with business value, commercial objectives and risk impact.
Translate credit, underwriting, fraud prevention and business requirements into product specifications, priorities and acceptance criteria for Data Engineering and ML teams.
Collaborate with Data Engineering and ML/MLOps leadership to align product roadmaps with platform architecture, technical capacity and delivery schedules.
Drive an AI-first approach to data product development, incorporating AI agents into decision-making processes with guardrails, evaluation mechanisms and human oversight.
Lead and coordinate a team of up to 3 Data Consultants, including capacity planning and resource allocation across BNPL and Payments domains.
Establish and monitor product performance metrics, including adoption, self-service analytics usage and decisioning-data SLAs.
Communicate roadmap progress, priorities, risks and trade-offs to senior management and cross-functional stakeholders.
Support the development of data products based on Databricks lakehouse architecture, feature stores, alternative data sources and payment partner integrations.
Promote LLM-assisted analytics and agentic tools to improve team efficiency and data product delivery.

Benefity

Private medical care.
Sports card.
Training courses.
Opportunity to attend conferences, including as a speaker.
Support with publishing in recognised magazines and online.

Opieka zdrowotna

Karta sportowa

Inne informacje

Recruitment process: remote initial interview, remote technical talk, then a decision about working together.

People More

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