Innovative & Emerging Solutions, Principal

Pacific Gas And Electric Company•Oakland, CA

3d•$163,000 - $277,000•Hybrid

About The Position

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 is critical. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.
Presents findings and makes recommendations to officers and cross-functional management.