Senior Manager, Data Science-Manager of the Center of Excellence in Data Science and AI

Requisition ID # 158646 

Job Category: Accounting / Finance 

Job Level: Senior Manager

Business Unit: Information Technology

Work Type: Hybrid

Job Location: Oakland

 

 

Department Overview

 

The Enterprise Data Science (DS) & Artificial Intelligence (AI) organization is both a “Delivery” team that is a sophisticated practitioner of data science and a “Center of Excellence” team that supports other practitioners in an enterprise-wide Hub & Spoke analytics adoption model.

 

As a Delivery team, this Department uses industry leading data science and change management practices to drive PG&E’s transition to the sustainable grid of the future. The Department works cross-functionally across the company to enable data driven decisions applying analytics, as well as improvements to relevant business processes. Deployed to some of PG&E’s highest priority arenas, the Department does not specialize in a traditional utility domain, such as asset management or program administration, but instead specializes in extracting useful insights from disparate data sets and facilitating actions informed by these insights.

 

As a Center of Excellence team, this Department listens to the needs of data science and AI practitioners across the company, along with emerging industry practices, and builds standards, processes, tools, knowledge and best practices that meet the current and future needs of the enterprise.

This team works on a wide variety of difficult problems, offering great variety in the work, and constant opportunity to explore and learn. Current and past engagements include:

• Creating wildfire risk models that are used by regulators and the utility to prioritize asset management.
• Developing computer vision models that improve, accelerate, and automate asset inspections processes.
• Predicting electric distribution equipment failure before it occurs, allowing for proactive maintenance.
• Forming the analytical framework behind PG&E’s Transmission Public Safety Power Shutoff
• Optimizing non-wires alternative resource portfolios, like the Oakland Clean Energy Initiative, including location and resource adequacy considerations.
• Analyzing customer demographic, program participation, and SmartMeter interval data to build program targeted propensity models, e.g. for customer owned distributed energy resource technologies.
• Identifying and investigating anomalous customer natural gas usage, in order to resolve dangerous customer side leaks.

 

Position Summary & Job Responsibilities Specific to the Role:

PG&E is looking for an experienced Senior Manager Data Scientist to lead the AI & Data Science Center of Excellence for the company. In this position, the successful candidate will play a vital role developing policies, standards, and processes that internal data science teams as well as contracted vendors will comply to for the effective design and development of data science and AI algorithms.  Additionally, and in partnership with the People’s Organization (HRBP & Compensation), this role will also be key in the evaluation of enterprise data science skills and knowledge to help build trust of those competencies for internal decision-making processes as the industry evolves. The incumbent will have an unparallel opportunity to lead frameworks and guidelines for governance as well as operational and product excellence (i.e. AI product lifecycle evaluation, along with scalability, validity, and other performance measures), and also provide the thought leadership in emerging technologies that will influence delivery of solutions across the company. Because of that, this role is perfectly suited to someone who has large experience leading data science AI/ML modeling work and would like now to make a contribution to the data science community as a technical expert and thought leader, managing a small team of data scientists who drive best practices in decision making excellence in the company, rather than delivering solutions themselves directly.  

 

As a leader of the centralized AI & Data Science Center of Excellence Hub, the responsibilities this incumbent include:

• Support data science, AI, and analytics Spokes across the company by disseminating and supporting the implementation of best practices for machine learning (ML) & AI development, in aspects