Chemical Engineer-Digital Plant Manager

Merck KGaA, Darmstadt, Germany • Full-time • Dallas, Texas, United States • $90k - $130k / year • 3w ago

Work Location: Dallas, Texas
Shift:
Department: EL-FO-IAPD Dallas
Recruiter: Paul Therrien

This information is for internals only. Please do not share outside of the organization.

Job Title: Digital Plant Manager (DPM) - Data Analytics Focus

Location:

The Digital Plant Manager (DPS) is an on-site role located in Dallas, TX with domestic and international travel required to meet business needs.

Overview:

EMD Electronics plant in Dallas, TX is seeking a highly skilled and motivated Digital Plant Manager (DPM) with a specialization in data analytics to drive process improvement and operational efficiency on the manufacturing floor. The DPM will play a pivotal role in applying machine learning, multivariate statistics, and predictive modeling in a complex manufacturing environment to solve challenging business problems, improve quality, and reduce cost.

Responsibilities:

Plan and lead the development of data analytics techniques, methodologies, and solutions within the manufacturing environment.
Apply statistical, machine learning, and other modeling methods to extract insights from complex manufacturing data.
Collaborate with cross-functional teams to identify opportunities for process optimization and efficiency improvements.
Develop and implement data-driven strategies to enhance overall plant performance and productivity.
Lead the design and implementation of data analytics projects, including data collection, analysis, and interpretation.
Work closely with the data engineering and data science teams to align data analytics initiatives with business objectives and best practices.
Serve as lead trainer for site staff to accelerate adoption of digital platform/UPTIMIZE tools.

Who You are:

Minimum Qualifications:

Bachelor's in Chemical Engineering, Material Science, or related field with 5+ years of relevant experience.
Proven experience with industrial applications of statistics for process control/optimization with quantifiable business impact.
Proficiency in multivariate statistical analysis and applied machine learning.
Proficiency with SQL and Python, including PySpark, pandas, and scikit-learn.
Excellent communication (English) and leadership skills with a demonstrated ability to drive data-driven decision-making at all levels of the organization.
Prior experience in a manufacturing or production environment is critical.

Preferred Qualifications:

Advanced degree in Chemical Engineering with 10+ years of relevant experience
Experienced track record of using data analytics to perform root cause analysis, improve product quality, increase operational efficiency, reduce manufacturing conversion costs, and eliminate scrap and rework.
Experience working with enterprise data analytics platforms, particularly AWS, Tableau, and Palantir Foundry.
Demonstrated experience managing scope, cost, and timeline for large-scale projects.

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.