Sr. Manager Yield Solutions
Group
NY STATE OR Germany
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