Job Location: Oakland

Department Overview
Enterprise Business & Technology Modernization is a cross-functional organization leading PG&E’s Propel program, a major business and technology modernization initiative designed to unlock customer value by simplifying collaborative work processes. Propel will migrate PG&E to the new version of SAP, S/4HANA, presenting a unique opportunity for PG&E to standardize business processes, clean the technology core, and enable innovation for breakthrough change across Engineering, Operations, Finance, Supply Chain, Human Resources, and Information Technology. Through a phased approach, Propel will implement process standardization, operating model changes, data improvements, SAP, and other technology applications with a focus on incrementally improving business capabilities and delivering value.
Enterprise Business & Technology Modernization is comprised of multi-disciplinary coworkers with deep functional and industry expertise to design and implement end-to-end business processes and technology solutions following industry-leading practices. The team partners closely with IT and external partners to work collaboratively with many stakeholders to adopt standard processes and maximize the use of out-of-the-box proven technology solutions to meet business needs. Each role in this department offers immense career growth potential and a once-in-a-lifetime opportunity to accelerate the outcomes of our True North Strategy and deliver for our customers.

Position Summary
The Supply Chain Management Data Lead (Systems Analyst, Principal) will play a pivotal role in PG&E’s Propel program, leading the data workstream within the Supply Chain functional team. This role will have accountability to: Execute Propel Program master data governance efforts for the Supply Chain functional workstream. ​ Provide sign-off around data conversion strategy, data governance plan, data retention and archiving, reporting, data quality assessment, data cleansing approach and plan. ​ Identify areas requiring data profiling and cleansing. ​ Identify data requirements related to reporting and analytics to be design. ​ Identify and engage key stakeholders from various functional areas to support data quality assessment, conversion, reporting & analytics, governance, and archiving process. ​
This role requires a deep understanding of core SAP SCM modules MM (Material Management) and EWM (Extended Warehouse Management as well as extended Procurement solutions Ariba, Fieldglass, and Icertis. The ideal candidate will possess the ability to drive cross-functional collaboration to achieve strategic objectives and will be responsible for ensuring alignment with Supply Chain and Propels goals of standardizing business processes, enhancing data quality, and enabling technological innovation for the future state STP design.

This position is hybrid, working from your remote office and Oakland on business needs or company requirements.

PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint . The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Bay Area Min: $ 128,000
Bay Area Mid: $ 173,000
Bay Area Max: $ 218,000

Reporting Relationship
The Supply Chain Management Data Lead (Systems Analyst, Principal), will report directly to the Director, SCM Propel

Job Responsibilities Data Governance: Build and enforce standard naming conventions, global metadata rules, and rigid validation logic across the enterprise. Quality Auditing: Run routine master data compliance audits to proactively address profile discrepancies or missing fields. Lifecycle Migration: Drive technical execution for data cleansing, profiling, and loading during migrations like SAP ECC to S/4HANA. Module Integration: Validate functional relationships between foundational materials records and logistics execution modules. Stakeholder Management: Translate technical data parameters into operational requirements during functional blueprinting workshops. Supports the development of others by coaching on analytical techniques, data gathering techniques, and current system documentation Discovers, analyzes, and documents data issues for future conversion and integration efforts Provides subject matter expertise on projects to implement and enhance enterprise Supply Chain business applications Supports the development and sharing of internal best practices and standards to enhance delivery efficiency, quality, and repeatability

Minimum Qualifications Bachelor of Science in Management Information Systems, Data Analytics, Supply Chain, Computer Science or related field or equivalent work experience. 10 years of related or equivalent experience.
Desired Qualifications SAP Module Depth: Advanced functional knowledge of SAP MM (Materials Management), and EWM (Extended Warehouse Management). Master Data Domains: Expertise governing specific asset fields like Material Master, Vendor Data, Source Lists, and Bills of Materials (BOM). Analytics Integration: Experience linking operational tables to advanced modules like SAP IBP and Ariba with analytical platforms. Experience with merging Large Language Models (LLMs) and data analytics to develop business insights. MBA or equivalent graduate degree Proven track record of successfully working in cross-functional projects and teams. Able to present highly complex data and findings to internal and external stakeholders Strong change management mindset Excellent communication, leadership , and stakeholder management skills. Ability to manage multiple priorities and deliver results in a fast-paced environment. Strong analytical and problem-solving skills. Influence, negotiation & persuasion skills to gain agreement on recommended process improvement. Adaptable to changing business conditions and ambiguity. Ability to interact, collaborate and work effectively with various organizational levels (from line employees to managers to directors to officers