Director Sustainability Data & AI Products (f/m/div)

Infineon Technologies AG; München; On-site; EUR 160,000 - 230,000; Full time

Job summary

Infineon Technologies AG in Munich seeks a Director Sustainability Data & AI Products to shape the strategy and roadmap for AI-enabled sustainability data products. You will own cross-domain data products, lead a federated team of domain data engineers, and align data standards with IT across ERP, PLM, PIM, CRM, ESG.

The role requires 8+ years in data-product/digital-product management, governance, or analytics portfolios, plus a university degree.

Qualifications

• University degree in information systems, data management, engineering, sustainability, business administration or comparable discipline.
• 8+ years of experience in data-product management, digital-product management, data governance or a data and analytics portfolio role.
• Experience translating business requirements into data, automation and AI product roadmaps with measurable outcomes.
• Strong knowledge of data architecture, engineering and AI-enablement concepts, including data modelling, pipelines, APIs, metadata, master data, lineage, data quality, access controls, AI readiness and responsible AI principles.
• Experience with enterprise integration landscapes such as ERP, PLM, PIM, CRM, supplier platforms, ESG platforms, data lakes or warehouses and semantic layers.
• Ideally knowledge of Sustainability product data and reporting (DPP, LCA and PCF) and related reporting requirements.
• Proven ability to lead through influence, establish decision rights, facilitate cross-functional governance and resolve priorities across Sustainability, business functions and IT.
• Strong Englisch communication skills, structured problem-solving, vendor-management and investment-case skills in an international environment.

Responsibilities

• Shape the strategy and portfolio: Develop and maintain the Sustainability data and digital-product strategy, including AI, with a 6-36 month roadmap and governance.
• Advance responsible AI and automation: Identify, prioritise and drive opportunities with measurable value and AI-enabled Sustainability products.
• Own shared Sustainability data products: Lead vision, roadmap, lifecycle, value and adoption of cross-domain products with clearly defined leads.
• Lead the federated data-product team: Coordinate domain data engineers through portfolio planning and design reviews with IT.
• Build the Sustainability data foundation: Establish standards, data models, KPIs, lineage, data quality, and audit trails.
• Connect Sustainability and IT: Translate Sustainability needs into data concepts and integration requirements across ERP, PLM, PIM, CRM and ESG.

Skills

Data-product management

Digital-product management

Data governance

Data architecture

Data modelling

Pipelines

APIs

Metadata

Master data

Lineage

Data quality

Access controls

AI readiness

Responsible AI

Vendor management

English communication

Education

University degree in information systems, data management, engineering, sustainability, business administration or comparable discipline

Job description

#WeAreIn for jobs that impact everyone's life B ehind every success, there is a plan: your strategic thinking, creative skills, and ability to communicate with others will drive innovation and turn ideas into impact . As a Director Sustainability Data & AI Products in our Global Team, you'll play a vital part in building the frameworks, relationships, and processes that keep Infineon's Business thriving. Are you in?

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion.

Key responsibilities in your new role

• Shape the strategy and portfolio : Develop and maintain the Sustainability data and digital-product strategy, including AI, and 6-36-month roadmap, including priorities, dependencies, investment needs, capacity requirements and build/buy/reuse decisions
• Advance responsible AI and automation : Identify, prioritize and drive opportunities with measurable value, drive AI-enabled Sustainability products and agents
• Own shared Sustainability data products : Lead the vision, roadmap, lifecycle, value and adoption of cross-domain products, including Digital Product Passport and Product Carbon Footprint capabilities. Define measurable outcomes and ensure each product has a named technical lead, methodology owner and IT platform owner
• Lead the federated data-product team : Coordinate the three embedded domain data engineers through joint portfolio planning, design reviews, shared standards and reusable components, while preserving their technical ownership and direct collaboration with IT specialists
• Build the Sustainability data foundation : Establish common data-product standards, conceptual and logical data models, KPI definitions, ownership, lineage, data-quality controls, evidence and audit trails in alignment with the enterprise data strategy
• Connect Sustainability and IT : Act as the accountable Sustainability interface for portfolio, architecture and investment alignment. Translate Sustainability needs into target data concepts, integration and API requirements across ERP, PLM, PIM, CRM, ESG, supplier and analytics environments

Qualifications and skills to help you succeed

• A university degree in information systems, data management, engineering, sustainability, business administration or comparable discipline
• At least 8+ years of experience in data-product management, digital-product management, data governance or a data and analytics portfolio role in a complex enterprise environment
• Experience translating business requirements into data, automation and AI product roadmaps , with a proven ability to define measurable outcomes, governance and adoption strategies
• Strong working knowledge of data architecture, engineering and AI-enablement concepts , including data modelling, pipelines, APIs, metadata, master data, lineage, data quality, access controls, AI readiness and responsible AI principles.
• Coding expertise is helpful but is not a core requirement
• Experience with enterprise integration landscapes such as ERP, PLM, PIM, CRM, supplier platforms, ESG platforms, data lakes or warehouses and semantic layers
• Ideally knowledge of Sustainability product data and reporting , ideally including DPP, LCA and PCF, product and material master data, GHG Protocol, PACT concepts and relevant reporting requirements
• Proven ability to lead through influence, establish decision rights , facilitate cross-functional governance and resolve priorities across Sustainability, business functions and IT
• Strong Englisch communication skills , structured problem-solving, vendor-management and investment-case skills in an international environment

We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Julie Danielsen Larsen https://www.linkedin.com/in/juliedanielsenlarsen/