Sr. Manager Yield Solutions Group  



Benefits - Full

Relocation Assistance Available - Possible for the ideal candidate

Bonus Eligible - Yes

This is a Senior Manager/Deputy Director level position in the Manufacturing Technology (MT) group, responsible primarily for driving the strategy for Yield Analysis and Data Warehousing systems. The candidate is expected to be an expert in Yield Engineering and have demonstrated success in driving deployment of yield analysis and engineering data warehouses across multiple locations within the same corporation or across corporations.


The candidate will drive strategic changes in how the fab yield engineering teams does yield analysis, by automating basic yield analysis tasks and by leading implementation of advanced automated algorithms for cross-data correlations. The candidate must have hands-on expertise in semiconductor yield analysis, product engineering and have very good understanding of all engineering data types that limit manufacturing yields. Deep knowledge in advanced statistics highly desired. Intimate understanding of advanced node (<28nm) process technology will be a big advantage.


The candidate will drive convergence strategies across fabs in US, Germany and Singapore. Demonstrated expertise in project pre-planning, strategy building, project management and budget management is a must. The candidate will regularly work with cross-organization middle- and upper-management to define systems strategy, gain stakeholder alignment and execute to aggressive deployment timelines.


The candidate will lead a team of engineers co-located in NY and Germany. This job is based in NY or Germany and will require 15% travel.

Specific Responsibilities

Global Yield Analysis leadership role, spanning technical, operational and financial analysis

Work with fab yield engineering teams, and directly with customers for defining and directing manufacturing yield and data warehouse systems and solutions

Drive new yield analytics, reporting and automation capabilities including advanced statistical determining algorithms

Provide executive management updates on program milestones, project development roadmaps, and marketing collateral in support of our differentiated capabilities in these areas

Cross-team management and project leadership, and mentoring of less-experienced team members

Plans, executes and reports on annual and quarterly budget and prepares and delivers executive ready proposals and presentations to high level leaders

Leads cross-organization teams to establish common KPIs, publish common KPI results from the fabs, develop agreed upon BKMs between the SMEs, transfer BKMs to all sites, identify and drive projects through the strategic planning process

Performs regular competitive assessments to understand GLOBALFOUNDRIES competitive position

Prepare and communicate detailed business analysis to support proposals

Interface with key site and business stakeholders globally to ensure detailed and robust analysis and alternatives are generated

Interface closely with Fab stakeholders ensuring all needs and requirements are incorporated into strategy and detailed capital efficiency planning


Required Qualifications

BSEE or equivalent; MSEE preferred

Proven track leader and industry leader in the wafer-level and die-level (PE, diags, bitmaps) yield engineering

In-depth understanding of yield data warehousing concepts and use for building yield analysis systems

In-depth understanding of business drivers and eco-system

Proven track leader for project management across organizational boundaries, manages and coordinates all participating teams and cross-functional groups worldwide

Cross-fab mindset and intercultural awareness with excellent communication skills, ability to communicate to executive staff and team participants

Expertise in interfacing with internal/external customers and vendors

Preferred Qualifications

Knowledge of semiconductor manufacturing process and manufacturing

Experience in high-volume manufacturing environments

High-mix foundry experience

Working level experience in Big data analytics and its applicability to semiconductor yield learning

10+ to 15 years of experience

Minimum Education - Master's Degree

Willingness to Travel - Occasionally