Supply Chain Management Data Lead (Systems Analyst, Principal)

Jobs at Pacific Gas And Electric Company•Oakland, CA

2d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Advanced functional knowledge of SAP MM (Materials Management), and EWM (Extended Warehouse Management).
Expertise governing specific asset fields like Material Master, Vendor Data, Source Lists, and Bills of Materials (BOM).
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

Responsibilities

Build and enforce standard naming conventions, global metadata rules, and rigid validation logic across the enterprise.
Run routine master data compliance audits to proactively address profile discrepancies or missing fields.
Drive technical execution for data cleansing, profiling, and loading during migrations like SAP ECC to S/4HANA.
Validate functional relationships between foundational materials records and logistics execution modules.
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