Manager of Data & AI Products (M3)

Job Description

Puget Sound Energy’s Data & AI team has an opening for a Manager of Data & AI Products (M3) to lead product-focused teams in delivering high-impact data solutions across the enterprise. Note: This is a manager level 3 and is the highest level manager in our IT structure.

As the Manager of Data & AI Products (M3) leader, you’ll oversee multiple data product teams—spanning AI, Analytics, Automation, and Software—to ensure our data initiatives produce measurable business value. This role requires a strong product management mindset, emphasizing iterative development, user feedback, and close collaboration with external vendors (e.g., AWS, Microsoft, Google, Accenture, KPMG) as well as internal IT and business stakeholders. You’ll define strategic roadmaps, negotiate technology partnerships, and keep pace with both short-term priorities and PSE’s long-term goals, including our clean energy objectives.

Why You Should Join Us

In this role, you’ll lead the Data & AI Products’ Value function responsible for delivering high-impact data solutions that empower PSE’s journey toward a clean energy future.  If you’re passionate about product management, servant leadership, data innovation, and forging strong business partnerships, we invite you to help transform how we leverage data to serve our customers and communities.

Job Responsibilities

1. Data Product Strategy & Roadmap
   • Define the vision and multi-year strategy for enterprise data products—balancing immediate needs with future scalability.
   • Engage with stakeholders to clarify user requirements, success metrics, and resource priorities.
   • Partner with external vendors and consultants to evaluate solutions, secure favorable terms, and align technology choices with PSE’s architecture.
2. Product Management & Delivery
   • Lead cross-functional teams delivering data-focused products (analytics dashboards, AI tools, etc.) using Agile or iterative methods.
   • Champion a product-oriented approach: manage product backlogs, define MVPs, collect user feedback, and refine solutions to maximize business impact.
3. Vendor & Hyperscaler Collaboration
   • Negotiate effectively with external providers to foster strategic partnerships that deliver immediate benefits (cost savings, new features) and long-term alignment (scalability, innovation).
   • Evaluate third-party offerings, build business cases, and recommend solutions that integrate seamlessly with PSE’s data ecosystem.
4. Data Governance & Collaboration
   • Work closely with the Senior Data Architect and governance leads to adopt consistent standards, maintain lineage, and enforce compliance across product teams.
   • Establish guardrails so data transformations and products adhere to regulatory requirements, security best practices, and enterprise data policies.
5. Team Leadership & Organizational Development
   • Manage direct reports and matrixed resources, fostering high-performing squads with shared best practices in data engineering, AI/ML, and automation.
   • Create an environment of ownership, transparency, and continuous learning, ensuring employees receive timely feedback and professional growth.
6. Operational Excellence & Continuous Improvement
   • Oversee production deployments, proactively address performance issues, and maintain high user satisfaction.
   • Track usage metrics (ROI, user engagement) and adapt product features or processes based on insights.
7. Stakeholder Communication & Influence
   • Present product strategies, outcomes, and next steps to executive leadership—demonstrating how each data solution aligns with PSE’s corporate objectives.
   • Collaborate with business units to discover new data-driven opportunities and assess feasibility, risk, and ROI.
8. Safety, Compliance & Ethical Use
   • Model a culture of safety and compliance, conducting audits, maintaining secure data environments, and upholding ethical AI usage.
   • Ensure data product initiatives reflect PSE’s core values, with attention to environmental stewardship and community well-being.

Minimum Qualifications

• Bachelor’s degree in computer science, engineering or related discipline; or equivalent combination of education and work experience.
• Proven knowledge of information technologies and methodologies related to Data and AI
• 10 years’ experience managing, leading teams or consulting in strategic planning, development, implementation, and maintenance of IT system, application, infrastructure service or other technology areas.
• Demonstrates:
  • Strategic thinking and leadership with strong abilities in relationship management.
  • Competency in project management discipline and the execution of multiple and/or large projects.
  • Leadership with multidisciplinary, high-performance work teams/groups.
  • Successful development and implementation of new technologies.
  • Competency in business processes, and process improvements.
  • Competency in developing efficient and effective solutions to diverse and complex business problems.
• Demonstrated management and decision making skills concerning information systems policies, processes and procedures with proven track record of completing tasks and/or projects within budget and on schedule.
• Excellent communication and presentation skills, especially with non-technical managers. Solid oral and written communications skills. An ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding.
• Exceptional analytical, problem-solving and conceptual skills that can be applied to multiple domains and enterprise-wide.
• Exceptional negotiating and critical thinking skills.
• Customer-oriented, a positive, team-oriented attitude, flexibility, an understanding of the business issues driving the need for information technology, and solid work ethic are expected.

Desired Qualifications

• Master’s degree in computer science, engineering, or related discipline.
• ITIL certified.
• 5+ years of data product management.
• 7 years managing cross-IT and/or business initiatives.
• Thorough understanding of IT service management concepts and disciplines.
• Willingness to take the initiative and make effective decisions.
• Leadership skills that can energize a multidisciplinary work team to respond to business needs.
• Strong technical knowledge, with hands-on experience managing systems in new computing architectures and environments; knowledge of relevant technologies and tools applicable to assigned area(s).
• Knowledge and experience in developing strategic information systems plans.
• Excellent human resource management skills.
• Experience with offshore/multi-site management.
• Experience with managed services’ engagements.

Additional Information