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Senior Director of Data, AI & Automation
Ge Vernova
Lead enterprise data, AI, and automation strategy and execution.
6d ago
$180,000 - $225,000
Expert & Leadership (13+ years)
Full Time
Bellevue, WA
Hybrid
Company Size
76,800 Employees
Service Specialisms
Energy Services
Digital Solutions
Sustainability
Smart Grid Technologies
Consulting
Sector Specialisms
Power
Gas Power
Steam Power
Nuclear
Hydro Power
Wind
Onshore Wind
Offshore Wind
Role
What you would be doing
ai strategy
ai scaling
data governance
rpa
low-code
predictive modeling
- Own and drive the enterprise AI strategy and roadmap, embedding AI across business processes, developer workflows, operational systems, and decision-support tools.
- Serve as a key advisor to executive leadership on data-driven decision-making and emerging technologies.
- Lead the adoption and enablement of low-code/no-code platforms, empowering business users to accelerate automation initiatives and foster a culture of innovation.
- Foster a culture of innovation, experimentation, and continuous improvement.
- Manage budgets, vendor relationships, and strategic partnerships.
- Collaborate closely with operations and IT teams to design and implement streamlined workflows that reduce manual effort and drive productivity gains.
- Lead the scaling of AI/ML capabilities to enhance products, services, and customer experiences.
- Define and enforce enterprise-wide data standards, governance frameworks, and best practices to guarantee data accuracy, security, and regulatory compliance.
- Provide strategic oversight for data architecture, governance, quality, and lifecycle management to ensure robust and scalable data ecosystems.
- Identify and prioritize opportunities for robotic process automation (RPA), intelligent document processing, and cognitive automation to maximize operational efficiency.
- Define and execute the strategy for data management, AI/ML, and automation initiatives aligned with business goals.
- Establish and foster a work culture at all levels that is positive, collaborative, respectful, innovative, dynamic, with high integrity, and capable of driving positive change over sustained periods of time.
- Oversee development and deployment of predictive, recommendation, personalization, and optimization models, ensuring responsible AI practices such as bias mitigation, model explainability, and ethical data use.
- Establish and enforce governance frameworks, best practices, and scalable processes to guarantee AI security, compliance, and ethical standards in partnership with cybersecurity teams.
- Champion AI culture-building initiatives, including hackathons, innovation sprints, and training programs to drive adoption and upskill teams.
- Lead and develop a high-performing team of experts. Provide strategic oversight and drive team optimization and individual team member growth.
- Lead and participate in cross-functional teams in developing scalable, innovative, and ethical AI solutions.
- Champion the democratization of data by enabling modern data platforms and fostering a culture of self-service analytics across all business units.
What you bring
ai/ml
data platforms
automation
cloud
master's
leadership
- Strong understanding of data platforms, AI/ML frameworks, and automation tools.
- Master’s degree in a quantitative or technical discipline.
- Strong analytical, project management, and organizational skills
- Ability to proactively identify and remove obstacles or barriers on behalf of the team
- Excellent written and oral communication skills and the ability to interface with senior leadership with confidence and clarity
- Ability to work under tight deadlines and to prioritize under pressure
- Exceptional executive partnership skills, with the ability to influence and align technology strategy to internal business priorities.
- Deep understanding of AI/ML frameworks, data integration, and workflow automation in complex enterprise environments.
- Certification in AI, Data Engineering, or Agile/Lean methodologies.
- Strategic thinker with the ability to create and execute concrete action plans
- Demonstrated success applying AI/ML to optimize internal business processes and enhance employee productivity at enterprise scale.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 10+ years of experience in data, AI/ML, or automation, with at least 5 years in a senior leadership role.
- Strong leadership, communication, and change management skills to drive enterprise-wide adoption of new technologies and ways of working.
- Proven experience delivering enterprise-level AI and data solutions.
- Uses critical thinking skills and disciplined approaches to help leaders and leadership teams resolve issues and define solutions
- Expertise in cloud infrastructure (AWS, Azure, GCP), modern application development, APIs, and microservices with a strong focus on internal enablement.
- The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Information not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- offer of employment is conditioned upon successful completion of a drug screen (as applicable).
Company
Overview
April 2024
Founded
The company emerged from the spin-off of GE's energy units in April 2024.
>$10B Quarterly Revenue
Revenue Growth
Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.
$3B
Wind Turbine Backlog
Maintains a significant backlog in wind turbine orders, reflecting strong market demand.
25%
Global Electricity Supply
Contributes to generating 25% of the world’s electricity through its installed turbines and grids.
- Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
- Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
- On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
- Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
- Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
- Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.
- Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
- Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
- Prioritizes excellence, integrity, and accountability in everything they do.
- Committed to driving real change through technology and partnerships that will transform the global energy landscape.
2050 target
Net zero commitment
Committed to achieving net zero carbon emissions by 2050.
- Focused on reducing emissions through advanced energy technologies.
- Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
- Solutions aim to decarbonize industries and help customers meet their sustainability goals.
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