Eaton Corporation logo
Eaton Corporation

Eaton announced, on January 26, 2026, the intent to separate its Mobility Group (including both the Vehicle and eMobility segments) into an independent, publicly traded company. We expect to complete the separation by the end of the first quarter of 2027. The application window for this position is anticipated to close on 2/10/2026. The compensation range for this full-time position includes base pay and target sales performance incentive. This position has a target total compensation range of $120,000.00-$176,000.00. Base salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

Global Program Manager - Data Center Capability Building

Technical Program ManagerTechnical Program ManagerFull TimeRemoteLeadTeam 10,001

Location

Switzerland

Posted

57 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

Global Program Manager - Data Center Capability Building

Eaton Corporation

What you’ll do: PRIMARY FUNCTION DESCRIPTION Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future. Within this segment, Eaton has an opening for a Global Program Manager – Data Center Capability Building. This is a dedicated, full‑time role responsible for the end‑to‑end setup, execution, and scaling of the TechWolf capability‑building program for Eaton’s Global Data Center Segment. Techwolf is an AI platform that automates workforce mapping and skill inference by integrating with Eaton’s HR systems. It builds and updates job-to-skills taxonomies using internal and external data to enable targeted talent strategies and personalized learning. This role serves as the primary program leader for the TechWolf partnership—ensuring the pilot, first‑phase deployment, and long‑term scalability are delivered through disciplined program management, clear process ownership, and data‑driven insights. The role is positioned to support the global Learning & Development strategy deployment, with day‑to‑day focus on program leadership, execution governance, and cross‑functional coordination across HR, IT, the Global Data Center business and regional business units and functions. The role reports into the Director of Human Resources for the Global Data Center Segment and functionally reports to the Learning & Development Program Manager for Global Data Center Segment. ESSENTIAL FUNCTIONS & DIMENSIONS Program & Execution Leadership • Own the end‑to‑end program management for the TechWolf capability‑building initiative, with accountability for execution, delivery milestones, and outcomes across the Global Data Center Segment. • Coordinate and align stakeholders across Learning & Development, HR, HR Technology, IT, and the Data Center business, ensuring clarity of ownership and interfaces when defining “end‑to‑end” scope. • Supports executive sponsorship and escalation models defined for the program, including alignment with HR and business executive sponsors. • Assemble, manage, and adapt pilot groups for TechWolf as business needs evolve, ensuring momentum through the pilot and first deployment phases. • Track, report, and manage pilot success criteria, risks, and dependencies; escalate issues through established governance and executive sponsor channels as needed. TechWolf Implementation & Capability Building • Lead the deployment and integration of TechWolf for the Global Data Center Segment, including creation and ongoing maintenance of job and skills taxonomy and skills inference capabilities. • Define and manage processes for taxonomy updates, skills inference evolution, and ontological changes, ensuring rigor, accuracy, and scalability over time. • Serve as the linchpin for TechWolf success and scale, supporting expansion across additional roles, groups, and geographies as scope grows beyond the initial pilot. Insights, Analytics & Talent Enablement • Deliver data‑driven insights and market benchmarking related to skills, job taxonomy, and evolving Data Center talent needs. • Partner with Talent Acquisition to support hiring strategies for hard‑to‑fill roles using skills‑based insights. • Collaborate with HR and Learning partners to inform talent development, retention strategies, and long‑term workforce planning—while maintaining clear boundaries on ownership of employee relations, change leadership, and communications. • Work with analytics and reporting teams to provide transparent progress updates to HR and business leadership. • Demonstrate TechWolf as a complementary source of market-facing compensation signals for the jobs we are actively hiring by using its skills intelligence to normalize and compare “like-for-like” jobs across the external market. By mapping Eaton roles to validated skill profiles (and reducing variability in job scoping and titles), we can more confidently benchmark similar jobs and refine offer positioning—supporting more consistent, data-informed decisions on where to lead, match, or lag the market for scarce skills, while improving speed and quality in offer calibration in partnership with HR/Compensation. Governance & Role Boundaries • Serves as program and execution owner, operating in alignment with and under the guidance of HR and ELR governance. The role does not hold accountability for HR policy ownership, employee relations, or enterprise change leadership, which continue to sit with HR leadership and established governance frameworks. Qualifications: BASIC QUALIFICATIONS: • Bachelor’s degree required, preferably in Business, Engineering, Information Systems, Human Resources, Organizational Development, or a related field from an accredited institution. • Minimum of 8 years of relevant professional experience in program management, enterprise transformation, capability building, or large‑scale cross‑functional initiatives. • Minimum of 3 years of experience working with external technology vendors or SaaS partners as part of a long‑term platform or capability deployment. PREFERRED QUALIFICATIONS: • Master’s degree preferred in MBA, Organizational Leadership, Human Resources, Information Systems, or a related discipline. • 10+ years of experience leading enterprise‑scale transformation or capability‑building programs, ideally within industrial, technology‑enabled, or global matrix organizations. • Experience designing or managing job, skills, or capability taxonomies, workforce analytics, or skills‑based talent initiatives. • Prior exposure to Learning & Development, Workforce Strategy, or Talent Ecosystem programs, while maintaining clarity of role boundaries and governance. • Advanced certification in Program Management (e.g., PgMP®) or Agile delivery frameworks (Certified Scrum Master, SAFe, Product Owner). • Experience with skills‑based platforms, job/skills taxonomy, or workforce analytics. Skills: POSITION CRITERIA: • Demonstrated experience leading complex, cross‑functional programs spanning technology platforms, people processes, and business stakeholders. • Proven capability in program management, change management execution, and governance across global or matrixed organizations. • Strong analytical orientation with experience translating technology‑enabled insights into business and talent outcomes. • Ability to operate effectively across HR, IT, and business teams with clarity on scope, ownership, and accountability. • Proven experience operating at a global or enterprise level, supporting multi‑region delivery models. • Lead clarification and resolution of complex technical, commercial, and execution issues. • Drive structured problem solving and decision making across functions. • Escalate effectively when required, ensuring speed, transparency, and leadership alignment. • Ability to travel internationally as required. JOB/PROJECT SCOPE AND WORKING CONDITIONS: • Global role with regular interaction across time zones and regions. • Travel required to support key regional reviews, deployments, and executive forums. • Work is primarily office/virtual with intermittent site presence; ability to manage ambiguity and multiple priorities is essential. EATON LEADERSHIP MODEL COMPETENCIES • Accountable • Builds Organizational Capability • Efficient • Enabling a Digital Mindset • Ethical • Gets Results • Learner SKILL DEVELOPMENT • Enterprise Program & Transformation Leadership • Scaled Capability Building & Change Enablement (with Governance) • Skills‑Based Workforce & Capability Architecture • Data‑Driven Talent & Market Insight Generation • Technology‑Enabled Capability Deployment • Stakeholder & Boundary Management • Influencing without authority • Global execution and governance What Success Looks Like (First 6–12 Months) • Successful on‑time delivery of the TechWolf pilot and first‑phase deployment. • Clear, auditable ownership of end‑to‑end program execution without overlap or confusion across teams. • Sustained quality and accuracy of job and skills taxonomy and skills inference outputs. • Measurable adoption and value realization of TechWolf insights for hiring, development, and workforce planning. • Successful demonstration of TechWolf’s capabilities as the enterprise-wide application for skills-based job architecture, job taxonomy, and compensation strategy.

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