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DT ELEC Global Supply-Chain, Quality, EHS, and Data & AI @ Gevernova

USOnsiteFull-time
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About this role

Job Description Summary

The ‘Global Supply-Chain, Quality, EHS, Data & AI’ DT COE Executive will serve as the strategic lead for the Electrification segment, accountable for driving strategy and execution of the end-to-end domains of Supply-Chain, Quality, EHS, Sustainability as well as Data architecture, AI, machine learning and intelligent automation. This role functions as the enterprise authority on Operational Excellence, charged with harmonizing cross-functional processes — including S&OP, Production Planning & Scheduling, S2P (source to Pay), Logistics, integration with ERP, Quality, Sustainability, Data & AI — to ensure long-term value creation for the segment and to drive agility, cost-competitiveness, and resilience across our global footprint.

Operating as a trusted partner to Business Line leaderships, this role bridges the gap between high-level business strategy and operational execution, ensuring that our digital architecture and ERP ecosystems act as a distinct competitive advantage for the business. This role champions a culture of continuous innovation, leveraging data-driven insights to accelerate decision-making, optimizes the global value chain, and ensures that our operational footprint is fully aligned with the long-term growth and sustainability commitments of GE Vernova’s Electrification segment.

This position requires a forward-thinking leader who can envision how emerging digital capabilities can drive business value, growth, and productivity. We are looking for an entrepreneurial mindset—capable of fostering a digital culture, accelerating new capability adoption, and aligning initiatives with broader business goals and objectives.

Job Description

Key Responsibilities

Strategic Transformation

  • Define and execute a global multi-year DT Supply-Chain, Quality, EHS and Sustainability Strategy that bridges high-level business goals with operational reality
  • Define and execute the DT strategy for data management, AI/ML, and automation initiatives aligned with business goals
  • Serve as a key advisor to Executive leadership on data-driven decision-making and emerging technologies

Enterprise Data Strategy and Data Governance

  • Provide strategic oversight for data architecture, governance, quality, and lifecycle management to ensure robust and scalable data ecosystems
  • Define and enforce enterprise-wide data standards, governance frameworks, and best practices to guarantee data accuracy, security, and regulatory compliance
  • Champion the democratization of data by enabling modern data platforms and fostering a culture of self-service analytics across all business units

Automation & Intelligent Workflows

  • Identify and prioritize opportunities for robotic process automation (RPA), intelligent document processing, and cognitive automation to maximize operational efficiency
  • Collaborate closely with operations and IT teams to design and implement streamlined workflows that reduce manual effort and drive productivity gains
  • Lead the adoption and enablement of low-code/no-code platforms, empowering business users to accelerate automation initiatives and foster a culture of innovation

Business Partnership

  • Serve as the primary DT operational partner to DT Business Line leaders, ensuring COE initiatives directly enhance BL performance

Leadership and Team Management

  • Lead and develop a high-performing, geographically dispersed team of experts. Provide strategic oversight and drive team optimization and individual team member growth
  • Foster a culture of innovation, technical expertise, cross-functional collaboration, experimentation, and continuous improvement
  • Manage budgets, vendor relationships, and strategic partnerships
  • Establish and foster a work culture at all levels that is positive, collaborative, respectful, innovative, dynamic, with high integrity, and capable of driving positive change over sustained periods of time

Standardized Digital Ecosystem

  • Drive the definition and deployment of standard digital solutions across all Business Lines to replace fragmented local systems and ensure data integrity

Digital & ERP Roadmap

  • Collaborate with Digital partners to modernize the ERP ecosystem, leveraging advanced technologies and AI to drive competitive advantage

Process Harmonization

  • Standardize and govern the global "DT playbook" of the domain’s solutions

Performance Accountability

  • Drive measurable improvements in End-to-End domain KPIs, such as OTD (On-Time Delivery), solutions adoptions and operational costs

Required Qualifications

  • Experience: 15+ years of experience in DT Supply-Chain Management, Data & AI, or Process Excellence within the industrial/electrical sector
  • ERP Expertise: Experience in large-scale ERP deployments and integration (SAP preferred)
  • Global Leadership: Proven track record of managing global teams across different time zones and cultural landscapes
  • Education: Bachelor’s degree in Engineering, Supply-Chain, or Business;

MBA or Master’s degree in Operations/Supply-Chain Management highly preferred

Preferred Characteristics

  • Exceptional executive partnership skills, with the ability to influence and align technology strategy to internal business priorities
  • Ability to influence stakeholders without direct line authority and drive adoption of new processes across diverse business units
  • Strong leadership, communication, and change management skills to drive enterprise-wide adoption of new technologies and ways of working
  • Excellent written and oral communication skills and the ability to interface with senior leadership with confidence and clarity
  • Uses critical thinking skills and disciplined approaches to help leaders and leadership teams resolve issues and define solutions
  • Ability to proactively identify and remove obstacles or barriers on behalf of the team
  • Strategic thinker with the ability to create and execute concrete action plans
  • Ability to work under tight deadlines and to prioritize under pressure

Additional Information

Relocation Assistance Provided: No

Skills

data architectureMachine LearningSAPprocess excellenceData GovernanceRobotic Process AutomationChange Management

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