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

Traffit; Kraków; Ibrido; PLN 240.000 - 360.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working model

International projects

Private medical care

Sports card

Training courses

Descrizione del lavoro

People More is seeking a Data Product Manager / Lead for FinTech projects focused on BNPL and payments. You will own data product roadmaps, align priorities with business value, and translate requirements into clear specs for Data Engineering and ML teams.

You will lead a small team of up to 3 Data Consultants, collaborate with analytics and ML leadership, and promote AI-first approaches, guardrails, and governance across datasets, feature stores and decisioning pipelines.

Competenze

• Minimum 5 years of experience in Data Product Management or managing data platforms and analytics products.
• At least 3 years of FinTech, credit, lending or payments experience (BNPL, underwriting or acquiring).
• Proven experience defining and managing data product roadmaps (feature stores, decisioning datasets, self-service analytics).
• Hands-on SQL skills, understanding data quality, freshness, lineage and point-in-time correctness.
• 2+ years in AI-first data product initiatives, including AI agents, guardrails and human-in-the-loop approaches.
• Experience leading technical/analytical teams, with capacity planning.
• Understanding regulatory requirements related to credit, payments and data management.
• Fluent in English and Polish.

Mansioni

• Define, manage and prioritize the roadmap for data products (feature stores, decision data, analytics).
• Align product priorities with business value, objectives and risk impact.
• Translate credit, underwriting, fraud and business requirements into technical specs for Data Eng/ML teams.
• Collaborate with Data Eng and ML/MLOps leadership to align roadmaps with architecture and delivery schedules.
• Drive AI-first data product development and guardrails, with human oversight.
• Lead a team of up to 3 Data Consultants, planning capacity and resources.
• Establish and monitor product performance metrics and SLAs.
• Communicate progress, risks and trade-offs to senior management and stakeholders.
• Support Databricks lakehouse-based data products and partner integrations.
• Promote LLMS-assisted analytics and agentic tools to improve efficiency.

Conoscenze

Data product management

FinTech knowledge

AI-first data products

SQL proficiency

Stakeholder collaboration

Strumenti

Databricks lakehouse

Feature stores

SQL

Descrizione del lavoro

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

Hello,
We are called People More because we treat our employees with respect, but also because the projects we work on are for people and should be easy and pleasant to use. We are technological, but we look at the bigger picture :)
The company is made up of people with a huge client base in the country and abroad, for whom we build projects from scratch (UX, UI, frontend, backend, mobile) or in part. We work directly for our clients and also support our partners in their own solutions. This ensures a wide range of projects and the ability to change! We work with clients all over the world.
For the project that we are working on with our partner, we are looking for Data Product Manager / Lead – FinTech (BNPL & Payments).

Your duties will include:

• Defining, managing and prioritising the roadmap for data products, including feature stores, decisioning and underwriting datasets, and self-service analytics solutions.
• Aligning product priorities and investments with business value, commercial objectives and risk impact.
• Translating credit, underwriting, fraud prevention and business requirements into clear product specifications, priorities and acceptance criteria for Data Engineering and ML teams.
• Collaborating closely with Data Engineering and ML/MLOps leadership to align product roadmaps with platform architecture, technical capacity and delivery schedules.
• Driving an AI-first approach to data product development, incorporating AI agents into decision-making processes with appropriate guardrails, evaluation mechanisms and human oversight.
• Leading and coordinating a team of up to 3 Data Consultants, including capacity planning and allocation of resources across BNPL and Payments domains.
• Establishing and monitoring product performance metrics, including adoption, self-service analytics usage and decisioning-data SLAs.
• Communicating roadmap progress, priorities, risks and trade-offs to senior management and cross-functional stakeholders.
• Supporting the development of data products based on Databricks lakehouse architecture, feature stores, alternative data sources and payment partner integrations.
• Promoting the use of LLM-assisted analytics and agentic tools to improve team efficiency and data product delivery.

Requirements that must be met:

• Minimum 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 in 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.
• Minimum 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

What we offer:

• We are open and honest and we solve problems instead of generating them.
• Maybe it’s obvious, but we really respect our employees and associates. We used to be software developers, too, and we appreciate that job!
• A small team
• An international working environment and international projects
• Private medical care
• Sports card
• Training courses
• Hybrid working model: preferably 1 day per week in the Warsaw or Cracow office.

Why it’s a good idea to work with People More?

• If you are not satisfied with your work or your tasks, we’ll find a way out together!
• If you get bored, we will offer you a new product and new, fascinating tasks
• We will work on your brand together: you will get an opportunity to attend conferences, including as a speaker, and we will help you publish in recognized magazines and online
• We will facilitate your access to challenges that are usually difficult to get
• At any time, you can talk directly to the board of People More—we talk your language because the company’s founders are software developers and designers!

What does the recruitment process look like?