Data & AI Product Lead (f/m/d)

Location: Barcelona (Hybrid; minimum 60% on-site presence required)

 

Role Overview

As Data Platform Lead, you are the single point of contact for Data & AI across the Manufacturing and Supply Chain platforms. You will activate and govern data domains, shape a platform data strategy & roadmap, and deliver reusable, compliant data products via our enterprise data platform—enabling trusted, scalable data for decision-making end‑to‑end.

 

Your Key Responsibilities

1) Strategy & Roadmap

• Define and maintain a platform data roadmap aligned to business outcomes and portfolio priorities.
• Translate platform demand into data outcomes (foundations, products, quality improvements) with clear KPIs, funding asks, and value tracking.

2) Domain Activation & Governance

• Establish domain boundaries and ownership, onboard Data Stewards, and run governance ceremonies with clear RACI.
• Implement data quality metrics/rules, publish domain quality posture, and drive durable remediation at source/product.
• Ensure data sharing & access follow enterprise approval workflows and standardized Data Sharing Agreements.

3) Data Product Portfolio & Reuse

• Build and curate a catalog of domain data products (discoverable, owned, measured), enforcing standards for metadata, lineage, SLAs, and security.
• Drive build vs. reuse decisions and cross‑platform consumption to maximize leverage and reduce duplication.

4) Architecture & Platform Adoption

• Partner with Platform/Data Architects to align solutions to reference architecture.
• Promote guardrails, patterns, and templates to increase delivery speed and consistency while reducing bespoke builds.

5) Leadership & Stakeholder Engagement

• Represent the platforms in Data Council and governance forums; manage cross‑domain dependencies and decisions.
• Lead a small core team and matrix extended squads; set clear objectives, coach for impact, and influence across business and tech.

 

We offer.

• Enterprise-wide influence – shape the future of reporting and AI across all business units with high-impact, data-driven solutions.
• Innovation with purpose – develop and deploy cutting-edge AI models and BI tools that solve real business challenges.
• A collaborative ecosystem – work with digital partners, business leaders, and external experts to deliver cohesive, trusted analytics.
• A culture of trust and ethics – lead with integrity, ensuring AI solutions meet the highest standards of fairness, transparency, and compliance.
• Growth through leadership – Drive the full lifecycle of analytics products.

• Empowerment through enablement – champion self-service analytics and elevate data literacy across the organisation.

 

You bring:

• Proven leadership in data governance, domain activation, and data product portfolios in a platform operating model.
• Strong stakeholder management; ability to translate strategy into a sequenced, funded roadmap with measurable outcomes.
• Experience setting data platform products standards.
• Deep familiarity with Manufacturing (MES/OPC/quality), or Supply Chain (IBP, logistics, supplier performance) data.

• Hands‑on expertise with modern data platforms (e.g., Databricks/Delta Lake on AWS, Unity Catalog, Informatica Catalog/MDM, dbt, Azure DevOps, Power BI) and enterprise‑grade data sharing & controls.

• Systems thinker and clear communicator; champions reuse over reinvention; balances pragmatism with standards; influences effectively in a matrix.
• Enterprise data platform based on Databricks Lakehouse (AWS) with Unity Catalog, Informatica (Catalog/MDM), dbt, Azure DevOps, Power BI, and standardized data sharing workflows.

 

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