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Con Edison · 11 hours ago

Systems Manager - Enterprise Data & Analytics / AI Product Management

New York, NY

Full-time

Onsite

Senior Level

$140K/yr - $190K/yr

7+ years exp

Con Edison is seeking a System Manager to lead their AI Product Management function within the Enterprise Data & Analytics organization. This role involves driving product delivery for AI solutions, managing a team of product managers, and ensuring that AI investments deliver measurable business value.

Utilities

Growth Opportunities

Responsibilities

Lead a team of product managers responsible for AI solution delivery across the enterprise portfolio

Own end-to-end product requirements documentation including PRDs, NFRs, and acceptance criteria for AI initiatives

Manage across multiple delivery teams and workstreams, holding vendors and internal teams accountable within agile frameworks

Drive product prioritization and backlog management, balancing business value, technical feasibility and resource constraints

Lead product demos, sprint reviews, and stakeholder showcases to communicate progress and gather feedback

Own product lifecycle management for AI solutions from discovery through deployment and ongoing optimization

Establish and enforce product management standards, templates and best practices across the AI portfolio

Partner with business relationship managers to translate business needs into well-defined product requirements

Partner with transformation strategy to ensure product designs are incorporated into delivery requirements

Collaborate with platform and data operations teams to ensure technical feasibility and platform alignment

Drive user acceptance testing and ensure AI products meet quality standards before production release

Monitor product performance post-deployment and drive continuous improvement based on user feedback and metrics

Manage contractor performance, providing direction, feedback and ensuring alignment to delivery expectations

Foster collaboration between product, engineering, data science and business teams throughout the product lifecycle

Champion a proactive, customer-centric culture that builds trust, enhances engagement and creates value for stakeholders

Qualification

AI Product ManagementLeadership in AI/MLProduct ManagementAgile MethodologiesStakeholder ManagementData AnalyticsTechnical DepthTeam BuildingCollaboration SkillsEffective CommunicationDecision Making

Required

Master's Degree and a minimum of 7 years full-time relevant work experience or

Bachelor's Degree and a minimum of 9 years full-time relevant work experience

Minimum 3 years in leadership roles overseeing AI/ML, data & analytics, or digital transformation programs, required

Demonstrated experience in product management for data, analytics, or AI/ML solutions, required

Proven experience managing product managers or leading cross-functional product teams, required

Experience managing across multiple concurrent delivery streams and vendor teams, required

Track record of delivering enterprise-scale technology products from concept through deployment, required

Experience with agile methodologies including Scrum, Kanban, or SAFe, required

Demonstrated stakeholder management experience, required

Experience planning and leading strategic initiatives, required

Experience with AI/ML technologies and data platforms, required

Ability to translate enterprise strategy into actionable delivery plans, required

Sufficient technical depth to engage credibly with data engineers, data scientists, and platform teams, required

Proficient in English written and verbal communication skills

Excellent collaboration and team building skills

Ability to lead/manage others

Builds and manages effective teams

Effective interpersonal skills

Well organized, detail oriented and flexible to handle multiple assignments

Instills commitment to organizational goals

Develops and delivers effective presentations

Demonstrates excellent judgment and decision making skills

Driver's License Required

Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

Preferred

Master's Degree in Business Administration, Finance, Accounting, Management Information Systems, Information Systems, related business or technology aligned field and a minimum of 7 years full-time relevant work experience or

Bachelor's Degree in Business Administration, Finance, Accounting, Management Information Systems, Information Systems, related business or technology aligned field and a minimum of 9 years full-time relevant work experience

Familiarity with utilities, energy, or regulated industries, preferred