Data Product Manager / Lead

120 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KrakówInne·B2B

#476507·Dodano wczoraj·0

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

BNPLSQLAIData

Podsumowanie oferty

Data Product Manager / Lead for data products across BNPL and Payments. You will define product roadmaps and translate business, credit and ML needs into specifications, working with Data Engineering and ML teams. The role involves Databricks lakehouse products, feature stores, decisioning data and AI-enabled analytics.

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

Product direction & delivery:

Define, manage and prioritise roadmaps for data products, including feature stores, decisioning and underwriting datasets, and self-service analytics.
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.
Align product roadmaps with platform architecture, technical capacity and delivery schedules in collaboration with Data Engineering and ML/MLOps leadership.
Support development of data products based on Databricks lakehouse architecture, feature stores, alternative data sources and payment partner integrations.

AI-enabled data products:

Incorporate AI agents into decision-making processes with guardrails, evaluation mechanisms and human oversight.
Promote LLM-assisted analytics and agentic tools to improve team efficiency and data product delivery.

Team leadership & stakeholder communication:

Lead and coordinate up to 3 Data Consultants, including capacity planning and resource allocation across BNPL and Payments.
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.

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: a remote initial interview, a remote technical talk, then a decision.

PEOPLEMORE P.S.A

21 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz