Senior IT Business Process Specialist - AI/Generative AI Processes & Roadmap Planning

Requisition ID # 158645 

Job Category: Business Operations / Strategy 

Job Level: Individual Contributor

Business Unit: Information Technology

Work Type: Hybrid

Job Location: Oakland

 

 

 

 

Department Overview

The Enterprise Data Science Organization (EDSO) is both a Delivery team working on breakthrough algorithm products as well as Center of Excellence team that supports other practitioners in the delivery of artificial intelligence (AI) and generative artificial intelligence (GenAI) an enterprise-wide, Hub & Spoke analytics functional model.

As a Delivery team, EDSO uses industry leading data science and change management practices to drive PG&E’s transition to the sustainable grid of the future. EDSO 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, EDSO 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 the AI & Data Science Center of Excellence (AI-DS CoE) team, EDSO listens to the needs of 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:

• Delivering policies, standards and processes for the safe and effective deployment of AI & GenAI models
• Developing AI 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

PG&E is looking for a Senior level IT Business Process Specialist who can provide internal business expertise in process improvement and standards management for Generative AI programs, as part of the AI & Data Science Center of Excellence (AI-DS CoE). This individual will work closely with the EDSO Portfolio Manager and cross-functional stakeholders to plan, perform and implement process improvement and standards management initiatives. The following responsibilities are designed to leverage IT to create efficiencies and improvements in business processes, ensuring that the organization can adapt and thrive in a digital environment. They include, but are not limited to:

• Continuous improvement and communication of existing processes and policies on AI & GenAI company-wide
• Collaborate cross-functionally in the development of enterprise-wide AI/GenAI Roadmaps for strategic use case delivery
• Coordinating cross-functional taskforces, steering committees, and other portfolio & governance groups as needed
• Organizing leads, coordinating and facilitating cross-functional governance and roadmap teams
• Developing metrics (including key performance indicators) that provide data for process measurement, identifying indicators for future improvement opportunities. May collect data to identify root cause of problems.
• Measuring performance against process requirements
• Providing consultation on the use of re- engineering techniques to improve process performance and service quality
• Delivering presentations and training courses including measurement, analysis, improvement and control