Requisition ID # 174698
Job Category: Compliance / Risk / Quality Assurance
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: Oakland
Position SummaryLocation flexible throughout the PG&E service territory (Oakland preferred). This position is "hybrid" with the expectation of being in the office 3x/week (subject to change due to business needs).
The Compliance and Risk Consultant provides flexible support across both Support Desk and Quality Control functions based on organizational priorities. In the Support Desk capacity, this role includes conducting research, priors, data analysis, data entry, and reporting to drive data response strategies and support compliance-related business decisions. Responsibilities may include maintaining process documentation, participating in process improvement initiatives, administering technology tools, and performing data quality checks.
In the Quality Control capacity, this role leads and executes the data response quality review process, ensuring accuracy, completeness, and confidentiality of information provided to PG&E's internal and external stakeholders.
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.
A reasonable salary range is:
Bay Area Minimum: $90,000
Bay Area Maximum: $136,000
&/OR
California Minimum: $86,000
California Maximum: $129,000
Job Responsibilities- Review and approve data responses for accuracy, consistency, tone, and confidentiality.
- Develop and implement quality control checklists and best practices to improve processes.
- Research prior responses, identify process gaps, and recommend solutions for efficiency and quality.
- Create reports, perform ad-hoc analysis, and present findings to support business decisions.
- Collaborate with internal and external stakeholders to ensure high-quality deliverables and continuous improvement.
- Manage intake, logging, assignment, and tracking of data requests to ensure accuracy, timeliness, and compliance.
- Maintain and update databases, perform quality checks, and produce final responses.
- Perform priors analysis to validate historical responses for consistency and accuracy in current submissions.
QualificationsMinimum:
- Bachelor's degree or equivalent experience
- 2+ years of relevant experience
Desired:
- Bachelor's degree in Engineering, Law, Business Administration or equivalent experience
- Certified Internal Auditor (CIA)
- Certified Risk Management Professional (RIMS-CRMP)
- Certified Compliance and Ethics Professional (CCEP)
- Leading Professional in Ethics and Compliance (LPEC)
- Knowledge of electrical engineering with substation, distribution, or transmission experience
- Knowledge of regulatory policy and compliance concepts, and/or risk management
- Experience in records management, confidentiality protocols, approval standards, and lifecycle governance.
- Proficient with Microsoft 365, SharePoint, and compliance tracking tools (e.g., DRU Tracker/Power Apps, RMA); ability to translate record structures into data usable by visualization/reporting teams.
- Familiarity with CPUC/OEIS requirements and PG&E compliance frameworks.
- Demonstrated ability to seek clarity quickly and align assignments across multiple stakeholders.
- Experience partnering with visual management/reporting teams (e.g., VM&IS) to define data models, logging rules, and refresh cadences.
- Audit or Assurance background
- Data science or applied analytics background
- Data mining, trend identification, and historical analysis
- Familiarity with AI-assisted or GenAI enabled search and summarization tools including validation of results
- Ability to apply analytical reasoning and critical evaluation to AI-generated outputs and historical data sources
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