Supply Chain Lead

Infobahn Softworld Inc; Oakland (CA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Infobahn Softworld Inc is looking for a Supply Chain Management Data Lead to oversee data governance within the Supply Chain functional team. This pivotal role involves executing master data governance efforts, conducting data compliance audits, and ensuring data quality throughout migrations.

Ideal candidates will possess a relevant bachelor's degree and 10 years of experience in data management, particularly with SAP ECC to S/4HANA migrations. Strong analytical, leadership, and communication skills are essential for engaging stakeholders at various levels.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• 10 years of related experience.

Responsibilities

• Drive technical execution for data cleansing and profiling.
• Manage standard naming conventions and global metadata rules.
• Run routine master data compliance audits.
• Translate technical data parameters into operational requirements.

Skills

Supply Chain

SAP ECC to S/4HANA

Data Governance

Quality Auditing

Analytical Skills

Education

Bachelor of Science in Management Information Systems, Data Analytics, Supply Chain, Computer Science or related field

Tools

SAP MM

SAP EWM

SAP IBP

Ariba

Job description

Job Title: Supply Chain Management Data Lead (Full Time)

Primary Skills: Supply Chain ,SAP ECC to S/4HANA.

Location: Oakland CA (Hybrid)

Duration : Full Time

Job Description:

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.

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.
• 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.
• 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).