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AI & Analytics Delivery Lead
GE VernovaAI delivery leader advancing GE Vernova’s Global Services & Commercial analytics and AI products. Driving data readiness, transformation initiatives, production deployment, and measurable business value.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end data, analytics, and AI product delivery, with a strong focus on driving measurable business value and optimizing performance. Proficient in leading cross-functional teams, managing stakeholder relationships, and ensuring compliance with data governance and regulatory requirements.
Highest-signal resume keywords
Data ManagementBusiness IntelligenceAgile MethodologiesPower BIAI/ML Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsSQLSAPOracleDatabricksPythonSparkLean PrinciplesMaster Data ManagementData Governance
Soft Skills
Interpersonal SkillsCommunication SkillsLeadershipCollaborationProblem-Solving
Tools & Technologies
Power BITableauAWSCloud TechnologiesBig Data
Industry Keywords
Global ServicesCommercial PlatformsCybersecuritySOX ComplianceRegulatory Requirements
Tech Stack
Tools & technologiesAWSCloudCyber SecurityJavaOraclePythonSparkSQLTableau
About the role
Key responsibilities & impact- Define, own, and execute end-to-end data, analytics, and AI product delivery for Power’s Global Services & Commercial organization
- Ensure analytical and AI products are delivered on time, within budget, and to high-quality standards while generating measurable business value
- Establish product vision and translate business priorities into scalable, user-centric Analytics and AI solutions
- Orchestrate cross-functional delivery, drive adoption and integration into day-to-day operations, and continuously improve product performance
- Lead data-readiness activities, technical execution of proofs of concept, MVP development, and scaling of validated solutions into production-grade AI products
- Build and maintain an AI demand pipeline and establish intake and prioritization processes
- Define and execute the roadmap for data, analytics, and AI products from ideation through production deployment and ongoing optimization
- Translate agile planning demand into capacity plans and lead Program Increment planning
- Work with OCIO and strategic partners to onboard resources and capabilities
- Liaise among executive stakeholders, Digital Technology, business operations, and delivery partners
- Facilitate workshops and implement improvements across tools, processes, and workflows
- Translate complex business needs into features, user stories, acceptance criteria, and prioritized backlogs
- Ensure compliance with data quality, architecture, cybersecurity, internal controls, privacy, and regulatory requirements
- Establish standard work and optimize analytical platforms and operating models
- Define product KPIs, monitor adoption and feedback, identify trends, and drive enhancements
- Identify automation opportunities and improve process and data lineage to increase delivery efficiency and productivity
Requirements
What you’ll need- Bachelor’s degree in Business, Computer Science, or a STEM-related field, including Science, Technology, Engineering, or Mathematics
- Minimum of ten years of experience in data management, business intelligence, data analytics, or a related discipline
- Minimum of eight years of technical experience, with demonstrated leadership across multiple functions and disciplines within a product or delivery organization
- Experience with Global Services & Commercial platforms and applications
- Demonstrated success leading at least two significant transformation initiatives, including organizational change management and delivery of measurable business outcomes
- Experience working in Agile and SAFe environments
- Strong knowledge of enterprise data and analytics technologies such as Power BI, Tableau, SQL, SAP, Oracle, and Databricks
- Familiarity with cloud, big data, and AI/ML technologies, including AWS, Python, Spark, and Java
- Strong understanding of Global Services & Commercial value streams and integration of transactional and analytical data
- Knowledge of data governance, master data management, and the end-to-end AI and machine learning lifecycle
- Ability to lead transformation, navigate competing priorities, influence senior stakeholders, and translate complex technical concepts into actionable insights
- Ability to build inclusive, high-performing teams and collaborate across functional organizations
- Commitment to cybersecurity, SOX compliance, data governance, privacy, application controls, and regulatory requirements
- Experience applying Lean principles, structured problem-solving, and continuous-improvement methodologies
- Exceptional interpersonal and communication skills
- Legally authorized to work in the United States
Benefits
Comp & perks- Discretionary annual bonus
- Medical, dental, vision, and prescription drug coverage
- Health Coach from GE Vernova, a 24/7 nurse-based resource
- Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan
- Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Professional development
- Relocation assistance not provided