Business Analyst, Data Governance

Here are the key details:
Title: Business Analyst, Data Governance
Location: Foster City, CA 94404
Duration: 6+ Months [Extension based on Job performance and business needs]
Pay: $100-105/hr. (D.O.E.) per hour on W2

Job Description:
Enterprise Data Governance: Business Analyst (Manufacturing Data Control Tower & AI Enablement)


The Business Analyst role will focus on building a Manufacturing Data Control Tower, leveraging enterprise data, system signals, and AI to enable real-time visibility, intelligent insights, and proactive decision-making across the manufacturing operations.
This role will work across SAP, PLM (3DX), and other systems to connect data, identify risks, and drive AI-enabled solutions that improve operational efficiency and throughput. The role will also own and drive AI initiatives and support program management of cross-functional efforts within EDG.
This role is onsite in Foster City, CA and reports to the Head- Business Processes & Enterprise Data Governance.


Responsibilities

• Build and support data control tower capabilities (dashboards, monitoring, exception management)
• Enable cross-system visibility and alignment (PLM ERP)
• Drive AI workstream based on direction from Head-EDG, including:
  • Identifying use cases
  • Prototyping solutions (agents, copilots, workflows)
  • Partnering with IT/Engineering to scale solutions
• Lead and manage EDG and cross-functional programs (scope, timeline, stakeholder alignment)
• Drive automation of data workflows and improve data quality and processes
• Partner with Manufacturing, Engineering, IT, and Supply Chain teams to deliver scalable solutions
• Create documentation, insights, and support stakeholder communication

Qualifications

• Bachelor's Degree with 8-12 years of experience in data, business analysis, program management, or enterprise systems
• Experience with SAP and/or PLM (3DX)
• Experience in manufacturing, automotive, or supply chain environments
• Experience in AI/ML, automation, or data-driven initiatives, including prototyping use cases
• Strong analytical skills with ability to connect data across systems
• Basic understanding of master data (BOM, material, routing) preferred

Soft Skills

• Strong communication and stakeholder management
• Ability to operate in fast-paced, ambiguous environments
• Strong execution and ownership mindset
• Curiosity and interest in applying AI to real business problems