Support Capgemini strategic semiconductor clients by enabling their AI based transformations with market leading technology architectures
Identify data/AI use cases and lead executive-level solution conversations.

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.
Strong 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.

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

Lead Data & AI Pre-Sales Solution Specialist – Semiconductor Industry

Key skills