Job Description Summary

Job Description

Roles & Responsibilities:

• Champion a culture of rapid experimentation by establishing lightweight iterative frameworks that enable Finance DT teams to quickly prototype test and validate AI-based solutions.

• Support AI adoption and upskilling initiatives including education programs hands-on workshops and awareness campaigns to continuously elevate AI IQ across Finance DT and Finance stakeholder groups fostering a proactive innovation-driven mindset aligned to GE Vernovas broader AI strategy.

• Partner with HQ and segment leadership to define and execute the Finance AI strategy and roadmap.

• Lead Finance AI initiatives across Finance DT ensuring alignment with functional teams the GE Vernova AI Foundry and HQ Data & Analytics.

• Develop and maintain a multi-year roadmap of high-value AI use cases across Finance including centralized reporting in partnership with the AI Foundry.

• Collaborate with the AI Foundry and Finance software engineering teams to integrate AI capabilities into enterprise and custom-built applications.

• Lead AI-enabled initiatives across a portfolio of 40 applications including ML GenAI and Agentic AI solutions.

• Establish a structured intake evaluation and prioritization process to identify the right opportunities and avoid unnecessary technical debt.

• Promote strong data governance and operational discipline across Finance automation technologies.

• Lead AI awareness education and upskilling efforts for Finance DT and Finance stakeholders.

• Serve as a trusted advisor and communication bridge to Finance and DT leadership providing clear updates on progress risks benefits and business impact.

• Define and track KPIs and success measures to demonstrate value efficiency gains and measurable outcomes from AI deployments.

• Contribute to the continuous improvement of delivery practices governance models and toolsets for AI and multi-generation product development in an enterprise environment.

Qualifications:

Mandatory Qualifications

• Bachelors degree in Business Computer Science or a STEM discipline.

• GE Vernova leadership pipeline graduate or a work experience of 3 years in stakeholder engagement product management and project management.

Desired Characteristics

• Strong understanding of business priorities operating models and cross-functional processes.

• Ability to connect individual deliverables to broader organizational and business outcomes.

• Proven track record of driving collaboration across business and digital teams.

• Comfortable operating in ambiguous environments and making sound decisions within defined guardrails.

• Strong analytical and problem-solving skills with the ability to use data and insights to drive action.

• Skilled at navigating complex organizations and aligning diverse stakeholders around a common goal.

• Able to anticipate risks and barriers develop effective workarounds and use available resources efficiently.

• Strong awareness of the technology landscape to support make-buy-build decisions and MVP scoping.

• Ability to articulate business value clearly assess alternative approaches and apply Lean principles in a dynamic environment.

Additional Information