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Head of Digital Transformation; f​/m​/d

in 91054, Erlangen, Bayern, Deutschland
Unternehmen: Siemens Energy
Vollzeit position
Verfasst am 2026-09-23
Berufliche Spezialisierung:
  • Wirtschaft
    Änderungsmanagement, AI Künstliche Intelligenz, Operations Manager, Business Analyst
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 130000 EUR pro Jahr EUR 90000.00 130000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Head of Digital Transformation (f/m/d)

A Snapshot of Your Day

In this role, you will turn digital ambition into tangible business impact for the global service organization of the Grid Technologies Business Area. Your day will involve shaping priorities with senior stakeholders, challenging how work is done today, and guiding teams from idea to adoption. You will connect business needs, process excellence, data foundations, digital platforms, automation, and artificial intelligence into a transformation agenda that improves productivity, scalability, and customer value across the service value chain.

A

Snapshot of Your Day

In this role, you will turn digital ambition into tangible business impact for the global service organization of the Grid Technologies Business Area. Your day will involve shaping priorities with senior stakeholders, challenging how work is done today, and guiding teams from idea to adoption. You will connect business needs, process excellence, data foundations, digital platforms, automation, and artificial intelligence into a transformation agenda that improves productivity, scalability, and customer value across the service value chain.

How

You’ll Make An Impact
  • Ownership and advancement of the digital transformation roadmap for the global service value chain, with clear alignment to business strategy, productivity targets, customer value, and a future-ready operating model
  • End-to-end digital, business, and process transformation through the redesign of existing ways of working, process standardization, simplification, scalability, and measurable operational, commercial, and efficiency improvements
  • Senior stakeholder alignment across business functions, regions, process ownership, information technology, and external partners, including sponsorship, clear decision-making, and sustainable ownership
  • Structured transformation governance covering priorities, dependencies, risks, milestones, benefit realization, baselines, success measures, adoption targets, performance indicators, transparency, and disciplined execution
  • Strengthening of the digital and data backbone through reusable data products, common standards, platform integration, data quality, automation readiness, and artificial intelligence readiness
  • Development of a future human-machine organization and transformation culture through effective collaboration between people, digital tools, automation, and artificial intelligence, enabling improved decision‑making, productivity, quality, scalability, ownership, collaboration, reuse, experimentation, courageous decision‑making, and continuous improvement across teams and regions
What You Bring
  • Master’s degree in Business Administration, Industrial Engineering, Information Systems, Computer Engineering, or a related discipline, or equivalent professional experience gained through leading complex transformation initiatives Extensive experience in digital transformation, business transformation, process transformation, operational excellence, and enterprise-wide change within complex international environments
  • Strong leadership capabilities, including strategic direction, clarity, senior stakeholder influence, courageous decision‑making, sponsorship, and cross‑functional alignment around shared business outcomes
  • Proven track record in translating strategy into executable roadmaps and prioritized transformation portfolios, delivering measurable productivity improvements and business value through strong business acumen, analytical thinking, commercial awareness, KPI management, baselines, business‑case development, benefit realization, and performance‑management routines
  • Strong understanding of service, operations, and project‑execution value chains, ideally including customer relationship management, supply…
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