Case Delivery Manager - Digital Products

Con Edison is at the forefront of accelerating the clean energy transition in its dynamic service territory. The Digital Products team supporting Energy Efficiency, and EMobility initiatives leads the development of innovative technology solutions that support clean electrification and transportation initiatives. Our work empowers both our customers and the environment.

As a Use Case Delivery Manager you will lead a talented team in designing, building and integrating robust software solutions enabling clean energy objectives. You will be responsible for the full AI use case development lifecycle ensuring the delivery of secure, scalable and high-performance technology solutions. You must be effective in understanding business needs and requirements, communicating benefits and recommendations for solutions that deliver business value in alignment with enterprise-level governance. Your experience will be utilized to help guide business processes through technology adoption in streamlining user experiences to improve the overall adoption and success rates of clean energy programs. Your leadership will directly influence the clean energy transformation for millions of New Yorkers.

Core Responsibilities

• Lead AI & Automation Delivery Teams: Direct, mentor and manage business analysts, developers, vendors, and implementation partners responsible for the successful delivery of AI, automation, and digital transformation initiatives. Foster a culture of innovation, accountability, collaboration, and continuous improvement.
• Manage End-to-End Use Case Delivery: Lead the complete lifecycle of AI and automation use cases, including intake, discovery, business case development, requirements gathering, solution design partnership with development lead, development oversight, testing, deployment, change management, and production support.
• Oversee AI Portfolio Governance: Manage the AI and automation portfolio backlog, including intake, evaluation, prioritization, dependency management, resource planning, and delivery roadmaps to ensure alignment with organizational priorities and strategic objectives.
• Partner with Business and Product Stakeholders: Collaborate closely with business leaders, product owners, and operational stakeholders to identify opportunities, define objectives, validate value realization, and ensure solutions address business needs and user expectations.
• Measure and Report Portfolio Performance: Develop and maintain operational support processes, portfolio dashboards, KPIs, OKRs, operational metrics, and executive reporting to support data-driven decision making and return on investment.
• Drive Requirements and Solution Definition: Translate business objectives into detailed requirements, user stories, business process flows, acceptance criteria, implementation plans, and delivery roadmaps that support successful execution and adoption.
• Facilitate Stakeholder Engagement and Decision Making: Lead workshops, process reviews, design sessions, prioritization discussions, testing activities, and governance forums to establish alignment, resolve challenges, and accelerate decision making across business and technical teams.
• Deliver Integrated Enterprise Solutions: Partner with product management, architecture, security, and technology teams to deliver scalable solutions that incorporate system integrations, data management, process automation, and secure authentication capabilities.
• Emerging Technology Capabilities: Possess experience with innovative technologies, including GCP, OpenAI, Azure AI Foundry, Generative AI (GenAI), or related automation platforms to deliver new business capabilities and operational efficiencies.
• Develop Strategic Partnerships: Build and maintain strong relationships with business organizations, technology teams, vendors, contractors, and external partners to support successful delivery, knowledge sharing, and continuous innovation across the AI & Automation portfolio.
• Compliance with Enterprise Standards: Govern adherence to corporate AI governance, cybersecurity policies, data privacy requirements, regulatory obligations, and enterprise delivery standards to ensure secure, compliant, and responsible implementation of AI and automation solutions.
• Perform other related tasks and assignment as required.

Required Education/Experience

• High School Diploma/GED and a minimum of 10 years of relevant experience or
• Bachelor's Degree and a minimum of 6 years of relevant experience or
• Master's Degree and a minimum of 4 years of relevant experience

Preferred Education/Experience

• Master's Degree and a minimum of 4 years of relevant experience

Relevant Work Experience

• Demonstrated knowledge in an Agile Framework, required.
• Experience with environment manag