Data Products & Management Director - Fintech Engineering (m/f/n)

InPost; Warszawa; On-site; PLN 600,000 - 1,000,000; Full time

Job summary

InPost is seeking a senior Data & AI leader to define and execute a data-first fintech strategy within its growing payments platform. You will own the data and AI agenda, working with cross-functional teams to deliver measurable business value.

You will build and scale the Data Engineering, Analytics, ML & MLOps, and Data Product teams, set governance, budget, and metrics, and partner with executive leadership to drive rapid, governance-backed decisions.

Qualifications

• 8+ years leading data engineering or ML organisations
• 5+ years managing managers or team leads
• Experience in financial services, payments or lending data platforms
• Fluent in Databricks/Spark at scale
• Experience building agentic systems in production (3+ years)
• Ability to work with VP/C-level stakeholders
• Fluent in English (B2+)

Responsibilities

• Define and own the Data & AI strategy and its delivery
• Build the organisation: Data Engineering, Analytics, ML & MLOps, Data Product
• Manage budget and tooling spend (e.g., Databricks, lakehouse)
• Provide board-level reporting on platform readiness, governance and delivery risk

Skills

Data leadership

Building data systems

Databricks/Spark

ML & MLOps

VP/C-level stakeholder management

English fluency

Budgeting & governance

Agentic systems

Tools

Databricks

Spark

Lakehouse

Feature store

Job description

Company Description

We are building a scale-up inside InPost. InPost Pay is growing from checkout into a full financial platform, and AI will flow through everything we do. You would join the core leadership team of this new business. The InPost executive team backs it, and you would be one of its key members. Our word is extreme ownership: you own the outcome, not just the function. You would be the first Data & AI leader, starting from a blank page, with one of the few proprietary datasets in European payments where checkout, payment and delivery behaviour meet.

Run data as a business. Build the AI-first engine of a new European fintech.

Job Description

The mission

Build a data-first enterprise. Be the real business value layer of the company, owning both strategy and execution.

• Agent-first systems. Agents are production components with guardrails, evals and observability, not experiments.
• A state-of-the-art ML and MLOps stack. Models are built, validated, served and retrained properly, on a governed Databricks lakehouse.
• One data and ML platform. Feature store, decisioning layer and analytics sit on one foundation.
• Data products with an owner and a number. Each one has a business case, a roadmap and a measurable monetary outcome.
• Decisioning in real time. Credit and risk decisions are fast, explainable and auditable.
• Governance as a speed advantage. GDPR, CCD2 and DORA are built in, so we ship faster than competitors, not slower.
• A culture of experiments. Every model and decision is tested, measured and tied to value.

Every decision and every model carries monetary value, and you will run the function accordingly: budget, headcount, return on investment, and accountability for results.

What you'll own:

• The Data & AI strategy for our fintech build, and its delivery.
• The organisation, built from scratch: Data Engineering & Analytics, ML & MLOps, Data Product. You set the structure, the bar and who joins.
• The budget, including platform and tooling spend (Databricks/lakehouse), and the trade-offs you defend at leadership level.
• Board-level reporting on platform readiness, governance and delivery risk.

Qualifications

You are:

• A builder-leader. You love data and love building systems around it.
• Hands-on when needed, especially with AI on board. You understand every subsystem you lead, down to the detail.
• Someone with 8+ years leading data engineering or ML organisations and 5+ years managing managers or team leads.
• Experienced in financial services, payments or lending data platforms: lakehouse, feature store, point-in-time-correct data serving.
• Fluent in Databricks/Spark at scale.
• Already building agentic systems in production (3+ years).
• At ease with VP/C-level stakeholders.
• Fluent in English (B2+).

Bonus points for:

• Regulated fintech or banking experience
• Scaling a data function from zero
• Vendor negotiation
• Multi-jurisdiction architecture
• MBA

Additional Information

Why InPost?

• Seat at the table. Core leadership team, executive backing, extreme ownership.
• Real scope. First hire, your mandate, your organisation.
• Real data.
• Real pace. A lean, AI-native organisation where decisions take days.
• We offer B2B type of contract