Data Analytics Delivery Lead Jobs (NOW HIRING)

• Define, own, and execute end-to-end data, analytics, and AI product delivery for Power's HDNU & Nuclear organization
• Ensure analytical and AI products are delivered on time, within budget, to high-quality standards, and with measurable business value
• Establish product vision and define complex business and technical requirements
• Translate business priorities into scalable, user-centric Analytics and AI solutions
• Orchestrate cross-functional delivery and drive adoption and integration into day-to-day operations
• Oversee AI product delivery from data-readiness assessments and proofs of concept through MVP delivery, production deployment, and operational transition
• Partner with AI Strategy, Data Science, AI Architecture, Data Architects, and AI Strategy Portfolio teams
• Build and maintain a demand pipeline and establish intake and prioritization processes
• Define and execute the roadmap for data, analytics, and AI products through 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
• Serve as primary liaison among executive stakeholders, Digital Technology, business operations, and delivery partners
• Facilitate workshops and implement improvements across tools, processes, and workflows
• Translate business needs into features, user stories, acceptance criteria, and prioritized product backlogs
• Ensure compliance with data quality, architecture, cybersecurity, internal controls, privacy, and regulatory standards
• Establish standard work and optimize analytical platforms and operating models for scalability, reliability, and performance
• 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 team productivity

• 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 HDNU & Nuclear 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, highly desirable
• Strong understanding of HDNU & Nuclear 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
• Knowledge of 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
• Ability to obtain authorization for access to U.S. export-controlled information, if applicable
• Successful completion of a drug screen, as applicable

Demonstrates expertise in end-to-end data, analytics, and AI product delivery, with a strong focus on driving measurable business outcomes and optimizing operational processes. Proficient in leading cross-functional teams and managing complex technical requirements within Agile and SAFe environments.

• Data Management
• Business Intelligence
• Agile Methodologies
• AI Product Delivery
• Data Governance

• Data Analytics
• SQL
• Power BI
• Tableau
• SAP
• Oracle
• Databricks
• Python
• Spark
• Java

• Interpersonal Skills
• Communication Skills
• Leadership
• Collaboration
• Problem-Solving

• HDNU
• Nuclear
• Data Governance
• Master Data Management
• Regulatory Compliance

• Cloud Technologies
• Big Data Technologies
• AI/ML Technologies
• Cybersecurity Tools
• Lean Principles