Lead Data & AI Pre-Sales Solution Specialist (Semiconductor Industry)

Capgemini • Santa Clara, CA

6h • Onsite

About The Position

We’re looking for an experienced Consulting Architect – Data & AI with strong semiconductor industry expertise. This role supports Capgemini strategic semiconductor clients by enabling their AI based transformations with market leading technology architectures, identifying data/AI use cases, and leading executive-level solution conversations.

Requirements

• 10+ years in deploying Data and AI platforms for semiconductor industry companies working with their engineering, manufacturing, operations, supply chain, or finance stakeholders.
• Strong understanding of the semiconductor value chain, including design, fab operations, testing, assembly, yield management, and supply chain.
• Knowledge of semiconductor industry business models (IDM / Fabless / Wafer Equipment Manufacturer / Foundries / OSATs etc.) and key KPIs such as  yield, OEE, scrap, cycle time, WIP, equipment health, design productivity, etc.
• Hands-on experience with Data & AI platforms (Azure/AWS/GCP, data lakes, ML/AI, MLOps, analytics within Databricks or Snowflake platforms).
• Strong consulting skills: problem framing, value articulation, executive communication.
• Experience presenting to VPs, Directors, and senior engineering leaders.
• Must be local to Bay Area and able to work onsite 3–4 days/week.

Responsibilities

• Deploying Data and AI platforms for semiconductor industry companies working with their engineering, manufacturing, operations, supply chain, or finance stakeholders.
• Understanding the semiconductor value chain, including design, fab operations, testing, assembly, yield management, and supply chain.
• Understanding semiconductor industry business models (IDM / Fabless / Wafer Equipment Manufacturer / Foundries / OSATs etc.) and key KPIs such as yield, OEE, scrap, cycle time, WIP, equipment health, design productivity, etc.
• Hands-on experience with Data & AI platforms (Azure/AWS/GCP, data lakes, ML/AI, MLOps, analytics within Databricks or Snowflake platforms).
• Problem framing, value articulation, executive communication.
• Presenting to VPs, Directors, and senior engineering leaders.
• Must be local to Bay Area and able to work onsite 3–4 days/week.
• Client-facing communication and executive presence.
• Ability to navigate ambiguity and work in a matrixed global environment.
• Willingness to travel within the Bay Area and occasionally across the US.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed