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Product Manager – Data & Analytics

Job in Poland, Androscoggin County, Maine, 04274, USA
Listing for: Alfa Laval
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager, Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Poland

Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world‑leading technologies that inspire progress in vital areas, including energy, food, water and shipping.

As we push forward, the innovative, open spirit that fuels our 140‑year‑old start‑up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.

Background

At Alfa Laval, our digital ambition is clear: to empower the organization with trusted, high‑quality data and advanced analytics capabilities that fuel smarter decisions, faster innovation, and sustainable business value. Strengthening our enterprise data foundation is essential for building a digitally mature, insight‑driven company.

About the Job

To accelerate this journey, we are looking for a Product Manager – Data & Analytics to lead the evolution of our global data platform and ensure it becomes a strategic enabler for all functions and business units. You will play a critical role in establishing a governed, scalable and secure platform that supports analytics, advanced insights, and AI.

This role goes far beyond technology — it combines product leadership, data governance, value realization, and adoption enablement
. You will ensure our data foundation is trusted, reusable, and built for long‑term impact.

Your mission spans eight core pillars:

Build and Evolve the Enterprise Data Foundation
  • Define and drive the strategy for Alfa Laval’s global data platform, ensuring scalability, performance, reliability and future evolution.
  • Lead development of unified, governed data capabilities supporting analytics, insights, automation, and AI use cases.
Establish and Embed Data Governance
  • Partner with Data Governance, Enterprise Architecture and domain teams to operationalize governance policies, data ownership and stewardship.
  • Ensure platform capabilities support metadata management, lineage, classification, data contracts and governance workflows.
Drive Data Quality & Trust
  • Define data quality guardrails, KPIs and automation requirements.
  • Promote continuous improvement practices that enhance trust, reliability and transparency of data products and pipelines.
Lead Reusable, Governed Data Products & Domain Models
  • Introduce standards for designing, certifying and maintaining reusable data products.
  • Enable domain teams to build high‑quality data assets aligned with enterprise definitions and governance requirements.
Value Realization & Business Impact Tracking
  • Translate digital goals into measurable value cases.
  • Track adoption, usage, and ROI of the data foundation and analytics capabilities.
  • Communicate impact to business sponsors in a structured, transparent way.
Drive Adoption, Change & Data Literacy
  • Build strong relationships across functions to accelerate platform adoption.
  • Influence cultural shift by driving communication, enablement and data literacy activities.
  • Ensure that teams understand how to use governed data assets and platform capabilities effectively.
Ensure Security & Compliance by Design
  • Integrate data security, privacy, and compliance requirements into platform development.
  • Work with cyber security teams to ensure governance of access, auditing, encryption and sensitive data handling.
Partner with Enterprise Architecture & AI Initiatives
  • Co‑create architecture decisions that ensure the platform’s long‑term viability and alignment with enterprise technology direction.
  • Enable AI and advanced analytics by ensuring the data foundation supports ML Ops, vector storage, scalable compute and model governance.
Who You Are

You are an experienced product leader with deep knowledge of data platforms, data governance, and analytics enablement. You can translate business ambitions into actionable product direction, build alignment across stakeholders, and drive adoption through clarity, communication, and strong decision‑making.

You thrive in complex environments and understand the importance…

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