Qureos Mentor

Mann+Hummel

<div><p>As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of &lsquo;leadership in filtration&rsquo;. Become part of our team.</p>
<div><div><div><h2 class="jobSectionHeader"><b>
Salary Compensation</b></h2>
</div><div><p>
The classification shall be in pay group EG 12 (Baden-W&uuml;rttemberg) 04.04.01.06 Data Analyst/-in 1 with a weekly working time of 40 hours, provided all tasks and requirements are fulfilled.</p><p></p><p><br>
Interested? We look forward to receiving your application. Please submit your application exclusively via our internal applicant management system, SuccessFactors. From the homepage, you can access M+H Careers &ndash; our internal job marketplace. If you do not have a MANN+HUMMEL email address, please send your application, quoting reference number 8117, to jobs@mann-hummel.com.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Role Summary</b></h2>
</div><div><p>
As AI Data Quality Specialist (m/f/d), you play a key role in enabling successful AI solutions across MANN+HUMMEL Transportation. Acting as the link between business users and AI teams, you help ensure that data used for AI applications is complete, consistent, and suitable for both model training and productive use.</p><p><br>
Working closely with business experts, AI Product Owners, Data Engineers, and AI Quality Assurance specialists, you identify AI-relevant data quality issues, understand their underlying business, process, or system-related causes, and support the implementation of sustainable improvement measures. Through your work, you help create the data foundation required for reliable and scalable AI solutions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2>
</div><div><ul><li>Collaborate with business users to understand how data is created, maintained, interpreted, and used within daily operations</li><li>
Assess data quality, usability, completeness, consistency, and accuracy for AI and machine learning use cases</li><li>
Identify AI-relevant data quality gaps and analyze their business-, process-, or system-related root causes</li><li>
Translate business data practices and challenges into clear AI-specific data quality requirements</li><li>
Coordinate and align cross-functional stakeholders to address AI-related data quality issues</li><li>
Support the preparation, validation, and continuous improvement of datasets used for AI model training, testing, and productive AI solutions</li><li>
Contribute to the definition of AI-specific data quality rules, validation criteria, and quality measures</li><li>
Work closely with AI Product Owners, Data Engineers, AI Quality Assurance specialists, and business experts to resolve data quality challenges</li><li>
Document assessments, findings, improvement actions, and best practices to ensure transparency and sustainable implementation</li><li>
Conduct knowledge-sharing and enablement activities to strengthen awareness of AI-specific data quality requirements across the organization</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your Profil
</b></h2></div><div><ul><li><b>Education:</b> Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Information Management, or a comparable field.</li><li><b>
Experience:</b> Experience in AI-related data preparation, data quality assessment, AI enablement, or comparable data-focused roles. Experience working closely with both business users and technical teams in cross-functional environments is required.</li><li><b>
Expertise:</b><ul><li>
Understanding of how structured, semi-structured, and unstructured data is used in AI and machine learning applications</li><li>
Experience assessing and improving data quality for AI, analytics, digital, or data-driven use cases</li><li>
Knowledge of common AI data risks such as missing information, inconsistent labeling, data drift, bias, and data leakage</li><li>
Understanding of the AI/ML lifecycle with a particular focus on data preparation, validation, and monitoring</li><li>
Basic knowledge of SQL and/or Python for data inspections and quality assessments</li><li>
Ability to evaluate whether training data and operational data are suitable for AI applications</li><li>
Ability to translate business processes and data usage into actionable AI-relevant insights</li><li>
Experience collaborating across business and technical functions within matrix organizations</li><li>
Strong communication skills with the ability to explain AI-related data requirements to non-technical stakeholders</li><li>
Experience validating AI-, ML-, or LLM-based solutions is considered a strong advantage</li></ul></li><li><b>
Language Skills:</b> Fluent English skills are required. German language skills are beneficial.</li><li><b>
Personality:</b><ul><li>
Strong analytical mindset combined with sound business understanding</li><li>
Structured, pragmatic, and solution-oriented working style</li><li>
Strong communication and collaboration skills</li><li>
Ability to influence and align stakeholders without formal authority</li><li>
Comfortable working in dynamic and evolving environments</li><li>
Strong prioritization skills and the ability to turn complexity into actionable solutions</li></ul></li></ul><p></p><p><br>
Diversity and inclusion are part of our DNA. We select solely based on the best talent. We therefore welcome applications from all individuals regardless of age, gender, origin, ethnicity, disability, or any other characteristics protected by law.</p><p></p><p><br>
If you have any questions regarding this job posting, our recruiting team will be happy to assist you. You can reach us at <b>TalentAcquisitionGermany@mann-hummel.com</b>. Please make sure to include the job title and location of the position you are interested in when contacting us.</p><p></p><p><br>
Please note that, for data protection reasons, we cannot accept applications via email. Kindly use our online application form instead.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Social Benefits</b></h2>
</div><div><ul><li>You work with a high degree of autonomy and decision-making freedom</li><li><div>
A 40-hour work week</div></li><li>
Performance-based compensation and comprehensive social benefits</li><li>
Flexible working hours/trust-based working time, plus 30 days of vacation</li><li>
Hybrid working option: 4 days office - 1 day home (children unter 12: 3 days office - 2 days home)</li><li>
Everyone has Talent: Our talent management process supports your professional development</li><li>
In-house company restaurant</li><li>
Reserved places in a private daycare center nearby (for both under-3 and over-3 children)</li><li>
A modern company pension plan to complement your statutory pension insurance</li><li>
Additional private health insurance (e.g., dental insurance)</li><li>
A wide range of discounts through our Corporate Benefits Portal (e.g., on vacations, fashion, insurance, etc.)</li><li>
Mobility benefits: subsidy for the Germany Ticket, JobRad leasing, and e-charging stations in the free company parking garage with a company charging rate</li></ul></div></div></div>
<p>
Are you full of ideas? Are you keen to take on responsibility and really achieve something? Then our doors are open to you. This company lives out its values, gives people the freedom to use their own initiative, and offers many development exciting opportunities and many exciting projects &ndash; all of which awaits you here.</p></div>

AI Data Quality Specialist (m/f/d)

<div></div><div><div><div><div><div>Job Vacancies</div>
</div></div></div><div></div><div><div><div>Back
</div></div></div><div><div><div><p>Packaging Analyst</p>
<p>Fayetteville, United States | Development &amp; Design | Experienced | Unlimited | March 11, 2026
</p><div><div><div>Apply now</div>
</div><div></div><div><div><div><div><div>SHARE</div>
</div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div>As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of &lsquo;leadership in filtration&rsquo;. Become part of our team.</div>
</div></div></div></div></div></div></div><div><div><div>Job Description
</div></div><div><div><div><div><div><div>ROLE SUMMARY</div></div><div><p>
This is an Onsite position based at our location in Fayetteville, NC.</p><p></p><ul><li><br>
No Visa sponsorships will be available for this position.</li></ul></div></div><p></p><div><div><div><br>
JOB RESPONSIBILITIES</div></div><div><ul><li>
Verify product packaging configurations based on ergonomic, customer, and transportation requirements</li><li>
Gather relevant information from Product and Process Engineers for Production Bill of Materials (PBOM) and create them in SAP</li><li>
Create, manage, and direct mass uploads of material data to SAP via Microsoft Excel with data gathered from other files via Excel&rsquo;s lookup and conditional functions</li><li>
Create and maintain visual packaging documents for all products</li><li>
Assist in the creation, approval and release of graphics as required</li><li>
Support Purchasing and Product Management in the development packaging with external vendors</li><li>
Create and maintain Packaging label and UPC code database in Bartender software</li><li>
Maintain documentations within MANN+HUMMEL Product Data Management Software (CimDB) and WIX Engineering database</li><li>
Support engineering workflows for new part introduction and initiate and process technical changes as assigned</li><li>
Ownership and initiative to support department and company through a pro-active and positive attitude</li></ul></div></div><div><div><div>
REQUIREMENTS</div></div><div><p>
Education:</p><ul><li>
Bachelor&rsquo;s degree in Business, Marketing or Packaging, or Associate&rsquo;s degree and 1 year of relevant experience</li></ul><p>
Required Skills:</p><ul><li>
Demonstrated ability in extracting, analyzing and manipulating data within Excel files using advanced lookup functions</li><li>
Working knowledge of and intermediate proficiency with Microsoft Word, Excel and other Windows applications</li></ul><p>
Preferred Experience &amp; Skills:</p><ul><li>
Experience in packaging, prepress operations or business management</li><li>
Experience with TOPS or other packaging software</li><li>
Experience with SAP or other ERP systems</li><li>
Experience with CAD</li></ul><p></p><div><br>
#LI - Onsite</div></div></div></div>
</div></div></div><div><div><div><div><div><div><div><div>Are you full of ideas? Are you keen to take on responsibility and really achieve something? Then our doors are open to you. This company lives out its values, gives people the freedom to use their own initiative, and offers many development exciting opportunities and many exciting projects &ndash; all of which awaits you here.</div></div></div></div></div></div></div></div></div>

Packaging Analyst

Join Mann+Hummel and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Mann+Hummel

About Company

AI Data Quality Specialist (m/f/d)

Packaging Analyst