Job Description Summary
The Senior Sourcing Manager - AI Initiatives will be the functional owner to lead definition, deployment, and adoption of artificial intelligence-enabled capabilities across GE Vernova Gas Power Sourcing organization. This role will translate sourcing business challenges into scalable AI, automation, and digital workflow solutions that improve safety, quality, delivery, cost, cash, compliance, and productivity outcomes. The leader will partner closely with Sourcing, Materials Management, Power DT CIO and AI & Data Analytics team, AI Foundry, Legal, Engineering, Finance, suppliers, and external partners to advance a practical AI roadmap, accelerate proof-of-concept execution, establish standard work, and ensure solutions are deployed responsibly, securely, and with measurable business impact.
Job Description
What You Will Do
- Lead the Sourcing AI initiatives portfolio for Gas Power Sourcing, including opportunity identification, prioritization, business case development, execution governance, benefits tracking, and leadership reporting.
- Partner with Sourcing Operations leadership to define a practical AI roadmap across source-to-buy, supplier management, contract intelligence, cost forecasting, commercial escalation, RFx automation, spend analytics, compliance, and process productivity use cases.
- Translate complex sourcing pain points into clear problem statements, process maps, requirements, user stories, data needs, success metrics, and deployment plans for AI-enabled solutions.
- Serve as the business product owner or initiative leader for selected AI proof-of-concepts, pilots, and scaled deployments, ensuring alignment to business outcomes, standard work, and user adoption.
- Coordinate cross-functional execution with Digital Technology, Foundry / AI teams, data engineering, legal, compliance, cybersecurity, finance, project sourcing, commodity leaders, and external delivery partners. Lead the overall AI value stream for each use case, with clear benefit and value identification, and ensure value realization after production deployment.
- Drive responsible AI practices by ensuring appropriate data handling, access controls, validation, human-in-the-loop review, traceability, model output quality checks, and compliance with GE Vernova requirements.
- Build and maintain operating rhythms for AI initiative reviews, including portfolio dashboards, health status, risk and blocker escalation, milestone tracking, value realization, and executive updates.
- Apply Lean principles to simplify, standardize, and digitize sourcing processes before automation; ensure AI solutions reinforce standard work rather than automate process variation.
- Lead change management and adoption planning, including stakeholder engagement, communications, training, usage monitoring, feedback loops, and sustainment plans.
- Develop clear executive narratives that explain business value, tradeoffs, risks, adoption status, investment needs, and decision points for senior leadership.
- Use data and sourcing domain expertise to identify opportunities to reduce manual work, improve sourcing cycle time, enhance supplier and contract insights, reduce cost leakage, and increase transparency across sourcing operations.
- Coach and influence global stakeholders in a matrixed environment, helping teams build AI fluency while maintaining accountability for business ownership and measurable outcomes.
Required Qualifications
- Bachelor's degree from an accredited university or college.
- Significant experience in Sourcing, Supply Chain, Procurement Operations, Commercial Operations, Digital Transformation, Analytics, or a closely related business function.
- Demonstrated experience leading cross-functional initiatives in a global, matrixed environment; driving change management and user adoption of new processes/tools.
- Proven ability to translate business needs into structured requirements, operating rhythms, project plans, and measurable outcomes.
- Strong understanding of sourcing processes, supplier management, RFx execution, contract lifecycle, spend analytics, compliance, and operational performance management.
- Demonstrated ability to analyze complex information, identify root causes, develop practical recommendations, and influence stakeholders at multiple levels.
- Experience preparing leadership updates, executive summaries, business cases, and decision-support materials.
- Strong communication skills, including the ability to simplify technical or analytical topics for non-technical business stakeholders.
- Fluency in English.
Desired Characteristics
- Master's degree in Business, Supply Chain, Engineering, Data Science, Analytics, Information Systems, or a related field.
- Demonstrated experience with AI, generative AI, agentic workflows, automation, machine learning, advanced analytics, or digital product delivery in a procurement or supply chain context.
- Practical knowledge of sourcing and enterprise platforms such as SAP, Ariba, Jaggaer / SourceGate+, Sourcing 360, Tableau, Power BI, SharePoint, or related procurement and analytics tools.
- Experience leading proof-of-concept development, agile delivery, product ownership, user acceptance testing, solution validation, or scaled deployment of digital tools.
- Lean, Six Sigma, project management, agile, data analytics, or product management certification.
- Strong process orientation with demonstrated ability to simplify workflows, document standard work, and sustain improvements through daily management.
- Demonstrated ability to work with internal and external technology partners while protecting company data, intellectual property, and compliance requirements.
- Commercial curiosity and sourcing acumen, with the ability to connect