Manager, Innovative & Emerging Solutions
Oakland, Alameda County, California, 94616, USA
Listed on 2026-06-13
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IT/Tech
Data Science Manager, Data Analyst, AI Engineer (Applied/Software)
The Data Management and Analytics Product Management team supports the development and implementation of software tools used both internally and externally across the organization. These tools vary in size and technical complexity and are built on a range of platforms and applications. They help drive operational efficiency, support wildfire risk reduction, improve system reliability, ensure regulatory compliance, and enable the successful delivery of electric engineering projects.
PositionSummary
The Innovative and Emerging Technology Manager leads a team of skilled technical product and project managers to deliver high‑value analytics and data products that support the strategic objectives of the Electric Engineering and Operations teams. This role is responsible for defining product strategy, shaping the technical architecture for scalable and effective product development, and ensuring seamless integration of solutions into existing and new processes.
The manager will collaborate closely with data analysts, data engineers, GIS analysts, program leads, external vendors, and leadership to develop innovative, data‑driven solutions. A strong understanding of emerging technology is critical to the role, including AI/GenAI, machine learning fundamentals (supervised & unsupervised), neural networks and deep learning, natural language processing and computer vision, and remote sensing. The ideal candidate will also think strategically about whether we should build or buy technical solutions, what features and applications will support client needs, will possess strong problem‑solving abilities, and demonstrate a proven ability to build and maintain client relationships.
This position is hybrid, working from your remote office and the Oakland General Office twice a week.
Salary RangeBay Area Minimum: $167,000
Bay Area Mid: $225,000
Bay Area Maximum: $284,000
- Manages staff to accomplish results through effective recruitment and selection, training and development, performance management and coaching, and rewards and recognition.
- Lead and oversee development of data product portfolios, driving strategic vision and execution in alignment with PG&E’s True North Strategy for Electric Engineering and Operations.
- Develop product roadmaps, secure funding, and align stakeholders on portfolio planning.
- Drive change management efforts to successfully integrate analytics products into existing or new business processes.
- Build and lead a high‑performing team, setting clear goals, providing professional development opportunities, and ensuring access to the necessary tools, technology, and training.
- Maintain transparency into product status through lean visual management tools across sub‑teams.
- Manage financial responsibilities, including budgeting, forecasting, contracting, and liability accruals.
- Utilizes deep understanding of business drivers and financial levers, along with instrumental data science techniques, to prioritize work and provide strategic decision support.
- Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, artificial intelligence, and data‑driven business processes.
- Supervises the technical development of mathematical models and AI simulations which represent complex business scenarios through formulas and data science code for problem‑solving.
- Conducts risk evaluation studies of model impact on business outcomes.
- Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
- Monitors the development of data science, machine learning, artificial intelligence, mathematical modeling and optimization, and similar emerging technologies to continuously assess their impact on business strategies. Participates with peers in risk and maturity assessment of data science tools.
- Define and communicate product requirements, ensuring alignment with business objectives and client needs.
- Develop and execute scalable product architectures that enable efficient…
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