Systems Manager - AI Product & Strategy

📍 Job Overview

Job Title: Systems Manager - AI Product & Strategy

Company: Con Edison

Location: New York, New York, United States

Job Type: Full-time

Category: Revenue Operations / GTM Strategy (AI Product Focus)

Date Posted: June 05, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drive the end-to-end AI product lifecycle within the Enterprise Data & Analytics (ED&A) organization, ensuring alignment with business objectives and technological capabilities.

• Act as the central point of contact for assigned business domains, translating complex business needs into actionable AI product initiatives and strategic roadmaps.

• Partner with Enterprise Technology & Security (ETS) and various business units to integrate AI solutions seamlessly into operational workflows, maximizing value realization.

• Champion product discipline and consistent execution across all AI initiatives, from initial intake and ideation through to production deployment and ongoing optimization.

• Contribute to Con Edison's transformation into a data-driven, AI-enabled utility by delivering high-impact AI product investments and fostering cross-functional collaboration.

📝 Enhancement Note: While the title is "Systems Manager - AI Product & Strategy," the core responsibilities and description strongly indicate a role that requires significant operational oversight, strategic planning, and stakeholder management, aligning it closely with GTM Strategy and Revenue Operations principles within an AI/Data context. The emphasis on "end-to-end AI product lifecycle," "translating business needs into structured AI initiatives," and "connective tissue between stakeholders and engineering" points to a role that bridges business strategy with technical execution, a hallmark of effective GTM and RevOps functions.

📈 Primary Responsibilities

• AI Product Lifecycle Ownership: Manage the complete lifecycle of AI products for assigned business domains, including ideation, requirements gathering, development oversight, testing, deployment, and post-launch monitoring and iteration.

• Strategic Initiative Translation: Translate high-level business objectives and pain points into well-defined AI product requirements, use cases, and business cases, ensuring clear articulation of expected value and ROI.

• Stakeholder Engagement & Alignment: Serve as the primary liaison between business stakeholders, data scientists, AI/ML engineers, and Enterprise Technology & Security (ETS) teams to ensure clear communication, manage expectations, and drive consensus.

• Cross-Functional Collaboration: Foster strong partnerships with various business units to understand their unique challenges and opportunities, identifying areas where AI solutions can drive significant operational improvements and competitive advantage.

• Product Strategy & Roadmap Development: Contribute to the development and execution of the AI product strategy and roadmap, prioritizing initiatives based on business impact, feasibility, and strategic alignment.

• Value Realization & Performance Tracking: Define key performance indicators (KPIs) for AI products, track their performance against business goals, and report on value realization, identifying areas for optimization and continuous improvement.

• Process Optimization & Automation: Identify opportunities to leverage AI and data analytics to optimize existing business processes, enhance operational efficiency, and drive automation across the organization.

📝 Enhancement Note: The responsibilities are framed to highlight the strategic and operational aspects crucial for a GTM/RevOps professional. The emphasis on "lifecycle ownership," "stakeholder engagement," and "value realization" are key indicators of an operations-centric role, even within an AI product context.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a technical field (e.g., Computer Science, Engineering, Data Science, Information Systems) is preferred.

• Equivalent combination of education and experience may be considered.

• High School Diploma/GED with a minimum of 7 years of relevant experience.

• Associate's Degree with a minimum of 5 years of relevant experience.

• Bachelor's Degree with a minimum of 2 years of relevant experience.

• Master's Degree with a minimum of 0 years of relevant experience. Experience:

• A minimum of 5 years of progressive experience in product management, systems analysis, business analysis, or a related field, with a strong focus on AI and data-driven initiatives.

• Proven experience in managing the end-to-end product lifecycle, particularly for technology or data products.

• Experience working within a large enterprise, preferably in the utility or energy sector, is a plus.

• Familiarity with Agile methodologies (Scrum, Kanban, SAFe) and their application in product development. Required Skills:

• AI Product Management: Demonstrated ability to define, manage, and launch AI/ML-powered products.

• Business Analysis & Requirements Gathering: Proficiency in translating business needs into detailed technical requirements and use cases.

• Stakeholder Management: Excellent ability to engage, influence, and manage expectations of diverse stakeholders across business and technology functions.

• Strategic Planning & Roadmapping: Experience in developing product strategies and roadmaps aligned with business goals.

• Data-Driven Decision Making: Ability to use data and analytics to inform product decisions and measure success.

• Strong Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical audiences.

Preferred Skills:

• AI/ML Technologies: Familiarity with common AI/ML concepts, algorithms, and platforms.

• Data Platforms & Architecture: Understanding of data pipelines, data warehousing, and big data technologies.

• Business Process Mapping & Optimization: Experience in analyzing and improving business workflows.

• Value Realization Frameworks: Knowledge of methodologies for measuring and demonstrating the business value of technology investments.

• Utility Industry Experience: Understanding of the operational challenges and opportunities within the energy and utility sector.

• Project Management Tools: Proficiency with tools like Jira, Confluence, or similar for managing product backlogs and project workflows.

📝 Enhancement Note: The educational and experience requirements are broad, indicating a focus on demonstrated capability. The emphasis on AI/ML, data platforms, and business process optimization aligns with modern GTM and RevOps functions dealing with advanced technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Product Case Studies: Showcase 2-3 detailed case studies demonstrating your involvement in the conception, development, and deployment of AI products. These should highlight the problem statement, your role, the AI solution implemented, the challenges faced, and the measurable business outcomes achieved.

• Requirements Documentation Examples: Provide samples of well-structured requirements documents, user stories, or product specifications for AI initiatives, demonstrating your ability to translate business needs into actionable technical details.

• Strategic Roadmap Contributions: Illustrate your experience in developing or contributing to product roadmaps, perhaps through a mock roadmap or a description of your process for prioritizing AI initiatives.

• Value Proposition & ROI Articulation: Include examples of how you have defined and measured the business value or ROI of technology investments, particularly AI-driven solutions.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss your approach to mapping existing business workflows and identifying opportunities for improvement through AI integration or process automation.

• Product Development Process: Articulate your understanding of the AI product development lifecycle, including key stages, decision points, and stakeholder involvement.

• Performance Measurement & Reporting: Demonstrate your ability to define and track key metrics for AI products, and how you report on performance and value realization to stakeholders.

📝 Enhancement Note: For a role focused on AI Product & Strategy, a portfolio showcasing practical application of AI, strategic thinking, and quantifiable business impact is crucial. This section emphasizes demonstrating a structured approach to product management within an AI context.

💵 Compensation & Benefits

Salary Range:

• Estimated Salary Range: $125,000 - $150,000 per year.

• This estimate is based on market research for Systems Manager roles with AI/Product Strategy responsibilities in New York City, considering the experience level (5-10 years) and the industry (Utilities). This range reflects the competitive compensation for specialized roles in a high-cost-of-living area. Benefits:

• Comprehensive medical, pharmacy, and vision benefits.

• Robust dental benefits.

• Health Savings Accounts (HSAs).

• Health Care and Dependent Care Flexible Spending Accounts (FSAs).

• 401(k) retirement plan with a strong employer matching contribution.

• Employer-paid Pension Plan, offering long-term financial security.

• Employee Stock Purchase Plan (ESPP) with a generous matching contribution.

• State-of-the-art Employee Assistance Program (EAP) for mental and emotional wellbeing support.

• Paid Parental Leave for new parents.

• Generous Paid Time Off (PTO) and paid holidays.

• Family support services, including emergency backup child and elder care assistance.

• Opportunities for social responsibility and volunteer engagement.

• Employee discount programs for various services and products.

• Commuter Benefits to ease daily travel.

• Culture of growth and learning, including career development programs, tuition reimbursement, and a recognition program.

• Life and Long-Term Disability (LTD) benefits for comprehensive protection. Working Hours:

• Standard working hours are 40 hours per week.

• Flexibility may be required to meet business needs, including availability for emergency response assignments during non-business hours, as noted in the requirements.

📝 Enhancement Note: The salary range is an estimate based on industry benchmarks for similar roles in New York City. The extensive benefits package is directly extracted from the provided text, highlighting Con Edison's commitment to employee wellbeing.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy & Utilities. Con Edison operates in a critical infrastructure sector, focusing on providing reliable electricity, gas, and steam services to millions of customers in New York City and Westchester. This context implies a culture that values safety, reliability, operational excellence, and a long-term strategic outlook.

Company Size: Large Enterprise. Con Edison is a major utility company, suggesting a structured corporate environment with established processes, a significant workforce, and opportunities for diverse career paths. The ED&A team, within this large organization, is likely focused on driving innovation through data and AI.

Founded: Consolidated Edison Company of New York was founded in 1898, indicating a long history of service and adaptation, which can foster a culture of stability and continuous improvement.

Team Structure:

• Enterprise Data & Analytics (ED&A): This team is positioned as the driver of Con Edison's evolution into a data-driven, AI-enabled utility, signifying a forward-thinking and strategically important function.

• Cross-Functional Collaboration: The role explicitly requires partnership with Enterprise Technology & Security (ETS) and various business units, suggesting a collaborative environment where operations professionals must work effectively across departments.

• Reporting: While not explicitly stated, a "Systems Manager" role typically reports into a Director or VP level within a technology or analytics function, potentially under the ED&A organization.

Methodology:

• Data-Driven Approach: The team's mission is to make Con Edison "data-driven, AI-enabled," emphasizing the importance of data integrity, advanced analytics, and AI/ML implementation.

• Product Discipline: The role emphasizes applying "consistent product discipline across every initiative," indicating a structured approach to managing AI products and projects.

• Business Alignment: Success hinges on translating business needs and delivering "high value returns on specific AI product investments," underscoring a focus on business outcomes and strategic impact.

Company Website: https://www.coned.com/

📝 Enhancement Note: The company context highlights the critical nature of Con Edison's operations and the strategic importance of the ED&A team. This suggests a company that is investing in future technologies like AI to maintain its leadership and efficiency.

📈 Career & Growth Analysis

Operations Career Level: This role, "Systems Manager - AI Product & Strategy," sits at a mid-to-senior level, requiring a blend of technical understanding, strategic thinking, and operational execution. It's a key position within the growing Enterprise Data & Analytics (ED&A) organization, bridging the gap between business needs and advanced AI solutions.

Reporting Structure: The role operates within the ED&A organization and requires close collaboration with Enterprise Technology & Security (ETS) and various business domains. The direct reporting line is likely to a Director or VP of Data & Analytics or a similar senior leadership role focused on AI strategy and product management.

Operations Impact: The primary impact of this role is on driving operational excellence and strategic innovation for Con Edison through the effective implementation of AI products. By translating business needs into structured AI initiatives, this role directly contributes to improving efficiency, enhancing decision-making, and potentially uncovering new revenue streams or cost-saving opportunities for the utility.

Growth Opportunities:

• Specialization in AI Product Management: Deepen expertise in managing complex AI/ML product lifecycles within a large, regulated industry.

• Strategic Leadership: Advance into senior product leadership roles, potentially managing a portfolio of AI products or leading the AI strategy for specific business units.

• Cross-Functional Influence: Expand influence across different business domains, becoming a trusted advisor for AI-driven transformation initiatives.

• Industry Expertise: Develop deep knowledge of AI applications within the utility sector, positioning oneself as a subject matter expert.

• Transition to Strategy Roles: Potential to move into broader AI strategy or digital transformation roles within the organization.

📝 Enhancement Note: This role offers significant growth potential by placing the candidate at the forefront of AI adoption within a major utility company. The emphasis on strategic product management within a complex operational environment is a strong foundation for future leadership roles.

🌐 Work Environment

Office Type: On-site. The role is designated as "On-site" in New York, indicating a traditional office-based work environment. This suggests a traditional corporate setting within Con Edison's New York facilities.

Office Location(s): New York, New York. This specific location means candidates will be working within the bustling urban environment of New York City, likely at one of Con Edison's primary office buildings. Accessibility via public transportation is generally excellent in this area.

Workspace Context:

• Collaborative Environment: The role requires extensive collaboration with various teams (ED&A, ETS, business domains), suggesting an open or semi-open office layout designed to facilitate interaction and knowledge sharing.

• Technology Access: As a Systems Manager in AI Product & Strategy, expect access to modern computing resources, collaboration tools, and potentially specialized AI/ML development environments.

• Team Interaction: Regular meetings, workshops, and brainstorming sessions with data scientists, engineers, business analysts, and product managers are anticipated.

Work Schedule:

• The standard work schedule is 40 hours per week.

• The role may require flexibility for emergency response assignments during non-business hours, indicating an on-call or responsive component to the role. This is common in the utility sector where operational continuity is paramount.

📝 Enhancement Note: The on-site requirement and the nature of the utility industry suggest a structured work environment with a focus on operational continuity and robust collaboration. The expectation of non-standard hours for emergency response is typical for critical infrastructure roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial screening to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A conversation with the hiring manager to delve deeper into your experience with AI product management, strategy development, and stakeholder engagement.

• Technical/Panel Interview: A more in-depth interview, potentially with a panel of peers or subject matter experts from ED&A, ETS, or relevant business units. This stage will focus on your technical understanding of AI/ML, your approach to product lifecycle management, and your problem-solving skills.

• Case Study Presentation: You may be asked to present a prepared case study from your portfolio, demonstrating your ability to articulate complex initiatives, strategic thinking, and quantifiable results.

• Final Interview: A concluding interview, possibly with a senior leader, to discuss your strategic vision, alignment with Con Edison's mission, and overall fit for the role and company culture.

Portfolio Review Tips:

• Focus on Impact: For each case study, clearly articulate the business problem, your specific contributions, the AI/ML solution, and the quantifiable business outcomes (e.g., cost savings, efficiency gains, improved decision-making).

• Showcase Strategy: Highlight how your work contributed to the broader AI strategy or roadmap for the product or business domain.

• Demonstrate Collaboration: Explain how you worked with different teams (business, engineering, security) and managed competing priorities or stakeholder expectations.

• Tailor to Con Edison: If possible, subtly align your examples with challenges or opportunities relevant to the utility industry or Con Edison's mission.

• Be Prepared for Questions: Anticipate questions about your decision-making process, how you handled challenges, and your understanding of AI ethics and governance.

Challenge Preparation:

• AI Product Strategy Exercise: Be ready to discuss hypothetical scenarios for developing an AI product strategy for a given business problem within the utility sector.

• Requirements Definition Task: You might be asked to outline key requirements for an AI solution based on a brief business case.

• Process Improvement Scenario: Prepare to discuss how you would use AI to improve a specific operational process relevant to a utility company.

📝 Enhancement Note: Candidates should prepare to demonstrate not just technical knowledge but also strategic thinking, strong communication, and a results-oriented approach, especially when presenting their portfolio and tackling case studies.

🛠 Tools & Technology Stack

Primary Tools:

• AI/ML Platforms: Familiarity with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform) is advantageous, as is knowledge of specific AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Data Warehousing & Big Data: Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and big data technologies (e.g., Hadoop ecosystem, Spark) is beneficial for understanding data infrastructure.

• Collaboration & Project Management: Proficiency in tools like Jira, Confluence, Asana, or Trello for managing product backlogs, user stories, and project workflows is expected.

• Product Management Software: Familiarity with specialized product management tools (e.g., Aha!, Productboard) may be a plus for roadmap planning and feature management.

Analytics & Reporting:

• Business Intelligence Tools: Experience with BI platforms like Tableau, Power BI, or Looker for data visualization, dashboard creation, and performance reporting.

• Data Analysis Tools: Proficiency in SQL for data querying and potentially Python or R for advanced data analysis.

• Reporting Dashboards: Ability to design and interpret dashboards that track AI product performance and business impact.

CRM & Automation:

• While not explicitly stated as core to this role, understanding how AI products integrate with CRM systems (e.g., Salesforce) or impact automated workflows within the business is valuable.

📝 Enhancement Note: The technology stack emphasizes tools and platforms relevant to AI/ML development, data management, and project execution. A candidate's familiarity with these tools will be crucial for effective collaboration and product delivery.

👥 Team Culture & Values

Operations Values:

• Safety & Reliability: As a utility, safety and operational reliability are paramount. This translates to a culture that emphasizes meticulous planning, risk mitigation, and robust execution in all initiatives, including AI product development.

• Operational Excellence: A strong focus on efficiency, continuous improvement, and optimizing processes to ensure the best possible service delivery to customers.

• Data-Driven Innovation: A commitment to leveraging data and AI to drive informed decisions, uncover insights, and foster innovation across the organization.

• Customer Focus: Ensuring that all initiatives, including AI product deployments, ultimately serve to enhance the customer experience and meet the needs of the communities served.

• Integrity & Accountability: Upholding high standards of ethical conduct, transparency, and accountability in all business operations and project management.

Collaboration Style:

• Cross-Functional Partnership: The role necessitates a highly collaborative approach, working closely with diverse teams across business units, IT, and security.

• Transparent Communication: Open and clear communication is vital for managing expectations, aligning stakeholders, and ensuring successful project outcomes.

• Problem-Solving Orientation: A team culture that encourages proactive problem-solving, critical thinking, and a willingness to tackle complex challenges.

• Continuous Learning: Embracing a culture of ongoing learning and development, particularly in the rapidly evolving fields of AI and data analytics.

📝 Enhancement Note: The team culture likely mirrors Con Edison's core values, with a strong emphasis on operational integrity, safety, and a forward-looking approach to technology adoption.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Large, Regulated Environment: Implementing new AI technologies within a large, established utility company that operates under strict regulatory guidelines can present challenges related to compliance, data privacy, and change management.

• Bridging Business and Technical Gaps: Effectively translating complex business needs into technical AI requirements and ensuring that AI solutions deliver tangible business value requires strong communication and domain expertise.

• Data Availability and Quality: Ensuring access to sufficient, high-quality data for AI model training and deployment can be a significant hurdle in large organizations.

• Change Management & Adoption: Driving adoption of new AI-powered tools and processes across various business units requires robust change management strategies and stakeholder buy-in.

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing field of AI and identifying the most relevant and impactful applications for the utility sector.

Learning & Development Opportunities:

• AI/ML Specialization: Opportunities to deepen expertise in specific AI/ML domains, model development, and deployment strategies.

• Industry-Specific AI Applications: Gaining in-depth knowledge of how AI is transforming the energy and utility sector.

• Product Strategy & Leadership: Developing strategic thinking and leadership skills through managing complex AI product portfolios.

• Cross-Functional Project Leadership: Leading high-impact initiatives that require collaboration across multiple departments.

• Executive Communication: Enhancing skills in presenting complex technical and strategic information to senior leadership.

📝 Enhancement Note: This role presents exciting challenges in a dynamic industry, offering substantial opportunities for professional growth and skill development in the critical field of AI product management and strategy.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for translating a vague business need into a concrete AI product initiative. Walk me through an example." (Focus on your structured approach, requirements gathering, and validation steps.)

• "How do you prioritize AI product initiatives when faced with competing demands from different business units and limited resources?" (Highlight your strategic framework, ROI analysis, and stakeholder alignment process.)

• "Imagine Con Edison wants to use AI to predict equipment failures. What would be your initial steps in defining this product and engaging stakeholders?" (Demonstrate your understanding of the product lifecycle, data needs, and cross-functional collaboration.) Company & Culture Questions:

• "What excites you about applying AI product management principles within the utility industry, specifically at Con Edison?" (Show research on Con Edison's mission and the utility sector's challenges/opportunities.)

• "How would you foster collaboration between the ED&A team, ETS, and various business domains to ensure successful AI product adoption?" (Emphasize your communication and relationship-building skills.)

• "How do you measure the 'value' or 'impact' of an AI product beyond just technical performance?" (Focus on business outcomes, ROI, and alignment with strategic goals.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, follow a clear story arc: Problem -> Your Role/Solution -> Process/Methodology -> Outcomes/Impact -> Learnings.

• Quantify Everything Possible: Use numbers and metrics to demonstrate the tangible benefits of your work. If exact numbers aren't available, provide well-reasoned estimates or qualitative impacts.

• Highlight Strategic Alignment: Explain how your product initiatives contributed to larger business or technology strategies.

• Showcase Your Problem-Solving Skills: Be ready to discuss challenges encountered and how you overcame them, demonstrating resilience and adaptability.

• Keep it Concise and Engaging: Focus on the most impactful aspects of your work and be prepared to answer detailed questions.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of strategic thinking, operational execution, technical understanding (especially of AI/ML concepts), and strong stakeholder management skills, all within the context of the utility industry.

📌 Application Steps

To apply for this Systems Manager - AI Product & Strategy position:

• Submit your application through the Con Edison careers portal (https://ejcu.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1035/job/8547).

• Tailor Your Resume: Customize your resume to highlight experience with AI product management, strategy development, stakeholder engagement, and any relevant utility industry or data analytics projects. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest AI product case studies that best showcase your end-to-end product lifecycle management, strategic thinking, and quantifiable business impact. Ensure they are well-documented and ready for presentation.

• Prepare for the Interview: Research Con Edison's mission, values, and recent initiatives in data and AI. Practice answering strategy, technical, and behavioral questions, focusing on your experience with AI products and cross-functional collaboration.

• Understand the Role's Context: Be prepared to discuss how AI can drive value in the utility sector and demonstrate your understanding of operational challenges and opportunities relevant to Con Edison.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.