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Manager, Data Engineering

Job in St Francis, Saint Francis, Milwaukee County, Wisconsin, 53235, USA
Listing for: Kohler Company
Full Time position
Listed on 2026-02-19
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 133250 - 199850 USD Yearly USD 133250.00 199850.00 YEAR
Job Description & How to Apply Below
Location: St Francis

Opportunity

Global Engineering Manager of Product Data Management sets the strategic direction and roadmap for transforming how engineering product data is managed. This role leads a global team responsible for defining, creating, governing, maintaining, auditing, and releasing critical product data that enables and supports all downstream business processes.

Work Mode:
Onsite

Location:

Onsite - Kohler, WI

We believe in supporting you from the moment you join us. You’ll have access to your applicable benefit programs from your first day on the job, with no waiting period. The salary range for this position is $133,250 - $199,850. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location.

In addition, this position is eligible for a performance bonus/variable incentive compensation.

Specific Responsibilities Leadership & Team Management
  • Lead, mentor, and develop a high‑performing team of data engineers by providing coaching, clear direction, and effective performance management.
  • Foster a culture where collaboration, teamwork, responsibility, and ongoing growth are core values. Recruit, onboard, and grow top engineering talent to build organizational capability.
  • Oversee team workload, ensuring effective prioritization, resource allocation, and capacity planning to meet business needs.
  • Demonstrate and lead others to exhibit behaviors and actions that:
    Delight Customers, Inspire People, Boldly Innovate, Own It and Prioritize.
Data Strategy & Architecture
  • Define and execute data engineering strategy and roadmap, ensuring alignment with organizational business objectives.
  • Lead the design, creation, and ongoing maintenance of data structures and hierarchies that enable robust product data management.
  • Ensure data models, structures, and platforms are built for scalability, high performance, and long‑term sustainability.
  • Implement and validate data rules and business logic that support core business processes, including the setup of new plants and warehouses.
  • Provide expert guidance and training on product data management principles, business rules, and process expectations.
  • Partner with data governance and security teams to uphold data standards, enforce compliance, and drive continuous improvements in data quality.
  • Partner with Engineering Systems on the development of tools and solutions that enhance the capture, management, and control of product data.
  • Oversee the engineering change process to ensure accurate and timely execution.
  • Collaborate closely with IT on SAP‑related initiatives, including system implementations, enhancements, and ongoing development.
Technical Execution
  • Manage, load, and publish product engineering and manufacturing data.
  • Support and implement global ERP projects.
  • Process Bills of Materials and other critical manufacturing information.
  • Maintain and update essential manufacturing data.
  • Support label printing setup and configuration.
  • Ensure data systems remain highly available, accurate, and high‑performing.
  • Automate and monitor data pipelines to improve efficiency and reduce manual effort.
  • Load and audit product data across systems.
  • Coordinate and validate engineering data within the PDM environment.
Skills / Requirements
  • Bachelor’s degree in Computer Science, Supply Chain, Information Systems, Data Engineering, Industrial Engineering, or a related field. Master’s degree preferred.
  • 6+ years of experience in data engineering or related technical roles, including at least 2 years in a leadership or people‑management capacity.
  • Strong technical expertise in SAP and related enterprise systems.
  • Demonstrated success driving business improvement initiatives.
  • Proven change‑management experience in complex environments.
  • Knowledge of PDM best practices and experience with PLM/PDM systems.
  • Experience leading and collaborating with global teams.
  • Solid understanding of data governance principles and data‑management best practices.
  • Background in product development with a strong understanding of product lifecycle processes.
  • Strategic thinker with the ability to define a clear vision and translate it into actionable,…
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