Data Science Manager, Manufacturing Analytics

Project

Work done for a product or program.

• Hire and grow data scientists and engineers.
• Prioritise use cases by yield, cost and risk impact.
• Review models and analyses for rigour before action.
• Manage platform, compute and tool budgets.
• Report realised benefits to executives.
• Build partnerships with process and equipment teams.

Function

Work that keeps the discipline running: methods, tools, suppliers and people.

• Set the analytics roadmap with fab, test and supply leaders.

Project

1. Produce and hand over the role's key deliverables
   • Analytics roadmap
   • Benefits tracking report
   • Team hiring and development plan
   • Model review decisions
2. Support programsGeneral
   • Agree what each program needs
   • Deliver in time for milestones
3. Manage issuesGeneral
   • Track requests to closure
   • Escalate risks

Function

1. Run the functionGeneral
   • Maintain policies and processes
   • Keep records and controls
2. ImproveGeneral
   • Report performance
   • Lead improvement work