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Specialist - Plant data management

Schaeffler schaeffler.com Open · verified Oct 24, 2026
Wooster Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Schaeffler. Wooster · no salary stated · we estimate $97,988–$155,000 across the United States.

Estimated pay

Schaeffler has not published a salary for this role. The figure below is our estimate, not theirs.

$97,988 – $155,000
What the middle half of mid-level data architecture & governance roles in the United States paid, among postings that did state a salary.
Worked out from 312 postings that stated pay, median $126,351. Last updated Oct 24, 2026.
RoleData Architecture & Governance
SeniorityMid-level
LocationWooster
PostedSep 16, 2026 · 5w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn business needs into data models, then build concepts and report findings for your assigned area
  • Improve data processes, maintain quality rules and master data, and resolve issues across large datasets
  • Support S4 HANA adoption at North American plants, including rollout planning, user training and feedback from plant teams
  • Configure reports and analytical tools, and recommend systems for planning, logistics and supply chain work
  • Work with manufacturing and logistics teams to understand operational needs and apply data standards

What you bring

  • You have three to five years of experience in a related role
  • You bring practical background in production planning, logistics, supply chain or process improvement
  • You have used ERP systems, ideally SAP R/3 or S/4HANA, alongside manufacturing planning or logistics systems
  • You can analyze complex datasets and apply structured continuous-improvement methods

Who this fits

This role suits someone who can connect data work with the day-to-day needs of manufacturing, planning and logistics teams. You should be comfortable working near operational equipment when needed. Applicants must already have US work authorization without visa sponsorship.

From the employer

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Your Key Responsibilities

  • Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
  • Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
  • Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
  • Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
  • Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
  • Support the planning, rollout, and adoption of S4 HANA and related applications across Schaeffler North American plants.
  • Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
  • Create and maintain logistics and planning master data in alignment with global standards.
  • Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
  • Work directly within manufacturing and logistics environments to understand system impact and operational needs.
  • Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
  • Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption.

Your Qualifications

  • Bachelor Degree in preferred in Business, Supply Chain Management, Logistics, Industrial Engineering, or a related field.
  • 3 to 5 years of experience in a related role.
  • Proven experience in production planning, logistics, supply chain management, or process optimization.
  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.
  • Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.
  • Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).
  • Comfortable working near manufacturing and logistics equipment as needed to support operational processes.
  • Applicants must be authorized to work in the US without employment VISA or other sponsorship.

Our Offering

6% 401(k) company match

Explore more benefits at www.schaefflerbenefits.com

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

www.schaeffler.com/careers

Your contact

Schaeffler Transmission Systems, LLC

Kim Korttila

Korttkm@schaeffler.com

Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law.

Keywords: Digitalization & Information Technology;

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

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Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.