AI & Analytics Delivery Lead

GE Vernova; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

GE Vernova is seeking an Analytics AI Delivery Lead to define and execute end-to-end data, analytics, and AI product delivery for Global Services Commercial. You will bridge executive stakeholders, drive adoption, and ensure production-grade AI solutions from data readiness to deployment.

The role requires strong leadership across Agile/SAFe environments, deep knowledge of analytics tools, and proven ability to translate business priorities into scalable AI products with measurable value.

Qualifications

• Bachelor degree in Business, Computer Science or STEM field.
• Minimum 10 years in data management, BI, analytics or related discipline.
• Minimum 8 years of technical leadership across multiple functions.

Responsibilities

• AI data readiness and delivery across PoC, MVP and production.
• Define demand pipeline and prioritization for AI delivery.
• End-to-end roadmap ownership for data, analytics, and AI products.
• Lead capacity planning and cross-functional program increments.
• Translate complex business needs into defined features and backlogs.

Skills

Agile & SAFe

Power BI

Tableau

SQL

Databricks

Python

AWS

Java

Data governance

AI/ML lifecycle

Education

Bachelor's degree in Business, Computer Science, or STEM-related field

Tools

Power BI

Tableau

SQL

SAP

Oracle

Databricks

Job description

Job Summary

The Analytics AI Delivery Lead for Global Services Commercial is responsible for defining, owning, and executing the end-to-end data, analytics, and AI product delivery for Power s Global Services Commercial organization. This leadership role ensures that analytical and AI products are delivered on time, within budget, and to high-quality standards while generating measurable business value.

Serving as a strategic bridge across executive business stakeholders, Digital Technology, analytics operations, AI Foundry, Global Services Commercial teams, the leader will establish the product vision, define complex business and technical requirements, and translate business priorities into scalable, user-centric Analytics and AI solutions. The role will orchestrate cross-functional delivery, drive adoption and integration into day-to-day operations, and continuously improve product performance across the Global Services Commercial domains.

As the AI Delivery Leader, this individual will oversee overall AI product delivery-from data readiness assessments and Proof-of-Concept execution through MVP delivery, production deployment, and operational transition. By combining deep business-process understanding with strategic roadmap ownership and disciplined delivery oversight, the leader will ensure that data and AI investments remain aligned with operational priorities, customer needs, and evolving market opportunities.

Roles and Responsibilities

In this role, you will:

• AI Data Readiness and Delivery: Partner with the AI Strategy Data Science and AI Architecture teams to lead data-readiness activities, technical execution of proofs of concept, MVP development, and the scaling of validated solutions into high-impact, production-grade AI products.
• AI Strategy and Demand Management: Partner with the AI Strategy Portfolio team to build and maintain a strong demand pipeline, establish effective intake and prioritization processes, and enable a stable, scalable AI delivery model.
• Data and Analytics Strategy and Lifecycle Ownership: Partner with Data Architects to define and execute the end-to-end roadmap for data, analytics, and AI products-from ideation and proof of concept through MVP delivery, production deployment, and ongoing product optimization.
• Partner and Capacity Management: Translate demand and priorities from the agile planning process into actionable capacity plans. Lead the Program Increment planning process and work with OCIO and strategic partners to onboard the right resources and capabilities for both analytics and AI delivery.
• Cross-Functional Leadership: Serve as the primary liaison among executive stakeholders, Digital Technology, business operations, and delivery partners to align requirements, priorities, and execution with strategic business objectives.
• Operational Excellence: Drive simplification, standardization, and delivery rigor by facilitating workshops and implementing improvements across tools, processes, and workflows.
• Requirements and Backlog Management: Translate complex business needs into well-defined features, user stories, acceptance criteria, and prioritized product backlogs using agile or hybrid delivery methodologies.
• Data, Risk, and Compliance Governance: Ensure that all analytics and AI solutions comply with enterprise standards for data quality, architecture, cybersecurity, internal controls, privacy, and regulatory requirements.
• Standard Work and Platform Optimization: Establish robust standard work, simplify complex delivery processes, and continuously optimize analytical platforms and operating models for scalability, reliability, and performance.
• Performance Monitoring and Value Realization: Define product KPIs, monitor adoption and user feedback, identify performance trends, and drive continuous product enhancements that deliver measurable business outcomes.
• Automation and Productivity: Identify opportunities to automate manual activities, improve end-to-end process and data lineage, and partner with enterprise data organizations to increase delivery efficiency and overall team productivity.

Qualification

• 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 the delivery of measurable business outcomes.

Desired Characteristics

• Technical Proficiency: Demonstrated experience working in Agile and SAFe environments, with 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, is highly desirable.
• Business and Domain Expertise: Strong understanding of Global Services Commercial value streams and the integration of transactional and analytical data to enable actionable insights and measurable business value.
• AI and Analytics Strategy: Solid knowledge of data governance, master data management, and the end-to-end AI and machine learning lifecycle, including data readiness, proof-of-concept execution, MVP development, production deployment, and ongoing optimization.
• Strategic Leadership: Proven ability to lead transformation, navigate competing priorities, influence senior stakeholders, and translate complex technical concepts into clear, actionable insights for non-technical business leaders.
• Cross-Functional Collaboration: Demonstrated ability to build inclusive, high-performing teams and collaborate effectively across Digital Technology, Global Services Commercial and other functional organizations to align product strategy with operational priorities.
• Governance and Risk Management: Strong commitment to enterprise standards and controls, including cybersecurity, SOX compliance, data governance, privacy, application controls, and regulatory requirements.
• Process Improvement: Experience applying Lean principles, structured problem-solving, and continuous-improvement methodologies to simplify processes, establish standard work, and improve the scalability and performance of the product portfolio.
• Influential Communication: Exceptional interpersonal and communication skills, with the ability to mentor and energize teams, establish a shared vision, build alignment, and maintain momentum through complex technical and organizational challenges.