Innovative & Emerging Solutions, Principal

Requisition  # 173135

Job Category:
Information Technology

Job Level: Manager/Principal

Business Unit:
Energy Delivery

Work Type:
Hybrid

Job Location:

Oakland

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.

The Innovative and Emerging Technology Principal 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 Principal 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 (OGO) twice a week.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.

Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

• Bay Area Minimum: $163,000
• Bay Area Mid: $220,000
• Bay Area Max: $277,000

This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

• Applies and evaluates data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models which involve multiple facets and iterations in algorithm development.
• Creates, applies and evaluates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.
• Writes and documents complex and reusable python functions as well as multi-modular python code for data science.
• As a technical leader, provides thought leadership in the use of ML algorithms for solving business problems.
• Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E.
• Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities.
• Acts as peer reviewer for complex models/AI algorithm proposals.
• Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business.
• Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes.
• Present findings and makes recommendations to officers and cross-functional management.

• Bachelors Degree in Data Science, Machine Learning, Computer Science, or job-related discipline
• Experience in Data Science, 8 years

• Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience
• Experience in utility and energy industries