Lead, Manufacturing Performance Analytics

Entegris • Chaska, MN

1d • $120,000 - $135,000 • Onsite

About The Position

Entegris is seeking a highly motivated Manufacturing Performance Analytics Lead to support our Advanced Purity Solutions division. The Manufacturing Performance Analytics Lead is accountable for enabling data driven operational decision making by delivering standardized, scalable analytics that provide clear visibility to manufacturing performance across sites. This role defines and owns the core execution metrics, dashboards, and analytic views spanning capacity, throughput, WIP, cycle time, yield, and on time shipment, ensuring alignment to standardized master data and execution processes.

Requirements

• Bachelors of Science in Engineering, Data Science, or similar
• 10+ years of experience in operations/manufacturing data support roles
• Data manipulation and visualization skills using Power BI, Tableau, or similar
• Understanding of Statistical Process Control (SPC) and its application in manufacturing a plus
• Desire to collaborate with varied cross functional stake holders at all levels
• Tenacity to drive projects to completion translating broad requirements into specific functionality or visuals to meet business needs
• Ability to maintain positive/collaborative working relationships with cross functional stakeholders at all levels of the organization
• Ability to present technical data to all levels of the organization
• Ability to travel domestically and/or internationally in support of Global Process Engineering team charter (up to 20%)

Responsibilities

• Develop strong technical knowledge of data architecture across business systems, especially ERP, SPC software, LIMS, and cloud data bases.
• Gain working knowledge of processes and operations across multiple sites and business units to contextualize data to better deliver impactful data visualizations to site ops teams.
• Partner closely with Operations, Engineering, Planning, and Digital teams to translate business questions into actionable analytics.
• Ensure consistent metric definitions and targets by functional area, and drive adoption of visual management tools that allow factories to identify constraints, prioritize actions, and proactively manage performance at the shopfloor, site, and network levels.
• Collaborate with local and global stakeholders to build out the Daily Operations Cockpits – a series of dashboards that are job function aligned to provide automated and consistent data relevant to the daily work for key functions within the operations organization.
• Identify opportunities to bring new data sets into the Google Cloud Platform data lake to be used in the Operations Cockpits, process controls, and predictive analyses applications.
• Construct predictive analysis data dashboards pulling together and transforming data sets relating raw material, production process, and finished good data to solve technical problems and/or inform business decisions.
• Maintain global scalability of dashboards and data structures built to enable translation to other sites and business units.
• Build and maintain relationships across the global organization to enable effective leadership and collaboration, especially networking with other members of the global ops organization working on data visualization projects.
• Communicate effectively across the organization (BU, Operations, NPI, NPD, R&D, etc.) to drive results.
• Contribute to the direction of the department in partnership with other members of the team and leadership.
• Ability to wear PPE as necessary for work in a cleanroom and lift up to 50 lbs

Benefits

• Annual bonus eligibility
• Progressive paid time off policy that empowers you to take the time you need to recharge
• Generous 401(K) plan with an impressive employer match with no delayed vesting
• Excellent health, dental and vision insurance packages to fit your needs
• Education assistance to support your learning journey
• A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

What This Job Offers

• Job Type: Full-time
• Career Level: Senior