**Job Summary**

• The Staff Analytics Product Manager is part of the Digital Technology (DT) organization in GE Vernova
• This DT role covers the delivery of Data & Analytics outcomes for the Sustainability & EHS function and reports to the Enterprise/HQ Analytics and AI Leader
• The Analytics Product Manager plays a pivotal role in bridging business needs with advanced analytics solutions
• This position is responsible for driving business engagement, gathering and refining analytics requirements, and ensuring the successful delivery of actionable insights through dashboards, reports, and data models
• The role requires a deep understanding of source application data models and the ability to collaborate with cross-functional teams, including those focused on AI/ML/GenAI initiatives
• This leader owns prioritization, resource planning, project/program execution, vendor management, and budgeting/financial stewardship across the scope

Key Responsibilities

• Engage with business stakeholders to identify analytics opportunities and understand strategic objectives.
• Gather, document, and prioritize analytics requirements in alignment with business goals.
• Conduct thorough business analysis to translate requirements into actionable plans.
• Analyze source applications and their data models to assess data quality, availability, and suitability for analytics purposes.
• Collaborate with data engineering and AI/ML/GenAI teams to design, implement, and integrate advanced analytics models.
• Perform analytics data modeling to support reporting and dashboard development.
• Design, build, and maintain dashboards and reports that deliver clear, insightful, and actionable information to stakeholders.
• Ensure data governance, accuracy, and consistency across all analytics deliverables.
• Communicate findings, recommendations, and progress to both technical and non-technical audiences.

Required Skills and Qualifications

• Bachelor s Degree in business, computer science or in STEM Majors (Science, Technology, Engineering and Math)
• Minimum of 7 years of experience working with Data Management, Business Intelligence, or Data Analytics

Minimum of 7 years of technical experience along with established leadership credentials across disciplines and functions within a product

• Proven experience in business analysis, product management, or analytics roles.
• Strong understanding of some of the source application data models and data structures like ERPs, CRMs and PLMs.
• Experience working with AI, Machine Learning, and Generative AI models in an analytics context.
• Expertise in analytics data modeling, dashboard, and report development using modern BI tools (e.g., Power BI, Tableau).
• Excellent communication, stakeholder management, and presentation skills.
• Ability to translate complex data concepts into clear business insights.
• Familiarity with data governance and best practices for data quality and security.

Preferred Qualifications

• Master s degree in a relevant field.
• Experience in cloud-based analytics environments (e.g., Databricks, Azure, AWS, Google Cloud).
• Prior work with cross-functional teams in a fast-paced, agile environment.
• Certification in analytics, product management, or related disciplines.