Job Description Summary

Job Description

Roles and Responsibilities:

This is a people leadership role requiring strong technical depth and the ability to shape AI strategy oversee execution and guide key technical decisions.

AI Strategy & Program Leadership

• Define and drive the AI vision objectives and roadmap for Gas Power Engineering in partnership with senior leaders and subject matter experts.

• Identify evaluate and prioritize AI use cases aligning initiatives to business value streams and strategic goals.

• Lead planning execution and delivery of AI programs using Agile/SAFe principles ensuring quality timeliness and measurable outcomes.

• Establish technical requirements KPIs and governance for AI initiatives including responsible AI compliance and continuous improvement.

• Build and lead AI education and upskilling programs to improve AI literacy across Gas Power Engineering.

• Coordinate cross-functional teams including software engineers data scientists architects QA and responsible AI specialists.

People Leadership & Team Development

• Serve as the solid-line manager for PET and ADT software engineering teams based at EIC Warsaw in coordination with dotted-line functional leaders.

• Set clear expectations provide feedback support career development and build succession and competency plans.

• Foster an inclusive collaborative and high-performing team culture focused on innovation learning and knowledge sharing.

• Partner with HR to recruit onboard develop and retain strong engineering talent.

AI Adoption & Technical Transformation

• Lead AI adoption within engineering tool teams by integrating AI capabilities into products and developer workflows.

• Assess capability gaps and drive targeted upskilling and reskilling in AI/ML technologies.

• Oversee delivery of AI-enabled engineering applications and identify opportunities to expand the use of ML computer vision and generative AI across STAI teams.

Technical Governance & Delivery Quality

• Provide technical oversight for PET and ADT software solutions ensuring alignment with architectural standards and engineering best practices.

• Guide critical decisions on software architecture technology selection integration testing code quality and documentation.

• Promote standardization of development tools frameworks and ways of working across teams.

Stakeholder Engagement & Change Leadership

• Represent STAI within the EIC Warsaw site structure and support alignment on local priorities and needs.

• Act as a bridge between technical teams and business stakeholders translating AI concepts into actionable plans and requirements.

• Partner with senior leadership on broader GE Vernova and enterprise AI initiatives.

• Manage dependencies risks roadblocks and stakeholder expectations in a dynamic environment.

Innovation & Continuous Improvement

• Stay current on emerging AI technologies and apply innovative solutions that improve engineering tools and program outcomes.

• Continuously improve delivery processes resource planning risk management and execution discipline.

Required Qualifications:

• Masters degree in Engineering Computer Science or a related technical field from an accredited university.

• Major experience in engineering software development or technology leadership.

• Significant experience in AI/ML including areas such as supervised and unsupervised learning computer vision and large language models.

• Proven experience leading technical or software engineering teams in a matrixed global organization.

• Demonstrated success in program management or technical leadership with strong project delivery outcomes.

• Strong understanding of the software development lifecycle (SDLC) Agile/SAFe methodologies and program/project management practices.

Desired Characteristics:

• PhD in Machine Learning Computer Science Engineering or a related technical discipline.

• Strong expertise in AI data science machine learning computer vision and generative AI.

• Understanding of Gas Power business processes especially within Engineering.

• Experience managing budgets planning resources and tracking spend.

• Ability to lead teams through technology-driven change and organizational transformation.

• Strong communication influencing and stakeholder management skills across technical and non-technical audiences.

• Strategic mindset with the ability to connect AI initiatives to business goals.

• Experience with cloud platforms (AWS Azure) MLOps and engineering software environments.

• Demonstrated customer focus problem-solving ability and commitment to continuous improvement.

• Familiarity with GE Vernova Way principles.

Additional Information