About The Position

This role defines and owns the global digital standard for maintenance management and machine data utilization across Gas Power manufacturing sites. It partners with the Global Process Engineering Authority (GPEA), who owns the physical asset, controls infrastructure, and automation standards, to integrate machine data across platforms and translate it into actionable insights for asset reliability, process stability, and quality. The scope covers maintenance planning, work order execution, machine program management, and operational data flows. The position involves establishing global standards and partnering with local teams for consistent adoption, defining how data is integrated, surfaced as insights, and drives operational action. It collaborates with the GPEA to develop, maintain, and update Automation Process Specifications (APS) and Machine Process Specifications (MPS), ensuring digital standards reflect current engineering and automation standards. The role also partners with other process owners where machine and asset data intersects with shop floor execution, quality, and materials planning. Key responsibilities include owning the digital standard for CNC program management, version control, and secure distribution, and partnering with GPEA on machine data collection and operational intelligence (utilization, cycle times, alarms, program execution). It defines the integration standard between machine-level systems and the manufacturing execution system, ensuring reliable and actionable data flow. The role owns the digital standard for maintenance planning, work order execution, and downtime tracking, supporting the transition to target-state maintenance management tools. It standardizes maintenance, repair, and operations spare parts digital workflows, connecting with Warehousing and Materials process owners. A foundational aspect is laying the groundwork for future predictive maintenance capabilities. The role co-owns application selection and solution design with Digital Technology and the New Technology Introduction team and partners with Master Data Governance on asset master data and equipment hierarchies. Finally, it involves building and coordinating a global network of site-level process owners and subject matter experts, leading a Community of Practice for standard adoption and continuous improvement, serving as an escalation point, monitoring post-deployment usage, owning frontline adoption metrics, conducting process walks, and developing training materials.

Requirements

  • Bachelor's degree in Engineering, Manufacturing, Supply Chain, or a related technical field.
  • 7+ years in manufacturing operations, maintenance engineering, or manufacturing engineering in an industrial environment, with direct accountability for process standards or operational improvement.
  • Hands-on experience with computerized maintenance management systems (IBM Maximo, L2L, or equivalent) and/or CNC program management and distribution systems.
  • Working familiarity with industrial automation infrastructure, including PLCs, sensor networks, and machine data collection, sufficient to partner effectively with process engineering and automation teams on data standards and integration requirements.
  • Proven experience defining process standards and driving adoption across multi-site manufacturing networks.
  • Experience translating operational requirements into functional specifications for technology teams.
  • Strong influencing and facilitation skills; able to build alignment across maintenance, manufacturing engineering, and operations teams with varying levels of digital maturity.

Nice To Haves

  • Familiarity with machine monitoring platforms and manufacturing data collection in a discrete manufacturing environment.
  • Exposure to manufacturing execution system integration requirements and data flows between machine-level systems and ERP.
  • Understanding of reliability engineering principles and maintenance strategy frameworks in a complex manufacturing environment.
  • Experience building and enabling site-level subject matter expert or champion networks across a global manufacturing organization.
  • Lean manufacturing background; familiar with total productive maintenance principles and their connection to digital maintenance systems.
  • Comfortable operating at the intersection of manufacturing engineering and digital technology, and with early-stage problem definition and ambiguity.

Responsibilities

  • Define and own the global digital blueprint for maintenance management and machine data utilization across Gas Power manufacturing sites.
  • Establish the global standard and partner with local teams to adopt and implement it consistently across all sites.
  • Partner with the Global Process Engineering Authority (GPEA) to integrate machine data across platforms and translate it into actionable insights for asset reliability, process stability, and quality.
  • Define what is done with machine data: how it is integrated across systems, how it surfaces as insights, and how it drives action at the operational level.
  • Partner with the GPEA to develop, maintain, and update Automation Process Specifications (APS) and Machine Process Specifications (MPS), ensuring digital standards for data collection, maintenance execution, and machine monitoring reflect the most current engineering and automation standards across all sites.
  • Partner with other process owners and Global Process Digital Authorities where machine and asset data intersects with shop floor execution, quality, and materials planning and replenishment.
  • Own the digital standard for CNC program management, version control, and secure distribution to machines across sites, ensuring the right program is available at the right machine at the right time.
  • Partner with the GPEA to develop the digital standard for machine data collection and own the operational intelligence: utilization, cycle times, alarms, and program execution, ensuring data is structured and surfaced in ways that drive action.
  • Partner with the GPEA to develop the integration standard between machine-level systems and the manufacturing execution system, and ensure data flows reliably and is actionable at the floor level.
  • Own the digital standard for maintenance planning, work order execution, and downtime tracking.
  • Support the ongoing transition from current CMMS platforms to target-state maintenance management tools as that program evolves.
  • Standardize maintenance, repair, and operations spare parts digital workflows, connecting to the Warehousing and Materials process owners for inventory positioning and replenishment.
  • Lay the foundational data and process groundwork that will enable predictive maintenance capabilities over time, ensuring current implementations are structured to support that future state.
  • Co-own application selection and solution design with Digital Technology and the New Technology Introduction team.
  • Partner with the Master Data Governance team on asset master data, equipment hierarchies, and data standards that enable consistent reporting and integration across sites.
  • Build and coordinate a global network of site-level process owners and subject matter experts covering both maintenance management and machine controls disciplines.
  • Lead a formal Community of Practice to drive standard adoption, share operational learnings across sites, and prevent local workarounds from becoming embedded practice.
  • Serve as the primary escalation point when sites diverge from the global standard.
  • Monitor post-deployment usage and outcomes to identify gaps between the standard and actual maintenance and controls execution, and drive updates through a controlled change process.
  • Own frontline adoption metrics for maintenance and machine data digital tools.
  • Conduct process walks at each site before deployment to validate readiness.
  • Develop training materials and job aids aligned to the global standard.
  • Ensure lessons learned from each site are incorporated into the global standard so every subsequent deployment improves on the last.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Prescription drug coverage
  • Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
  • GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
  • Access to Fidelity resources and financial planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off
  • Discretionary annual bonus
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