AI & Analytics Delivery Lead

🔥 17 hours ago

🇺🇸 United States – Remote

💵 ₹4.8M - ₹8.9M / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• 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

• 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

• 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