AI Data Enablement & Quality Specialist

As AI Data Enablement & Quality Specialist (m/f/d), you play a key role in enabling successful AI solutions across MANN+HUMMEL Transportation. Acting as the bridge between business functions and AI teams, you help translate business processes, requirements, and challenges into AI-relevant data needs while ensuring that data used for AI applications is reliable, complete, and fit for purpose.

Working closely with business experts, process owners, AI Product Owners, Data Engineers, and AI Quality Assurance specialists, you identify data-related challenges that impact AI initiatives, 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 scalable AI adoption and ensure that business and technical stakeholders are aligned on data quality expectations and requirements., * Act as the primary interface between business functions and AI teams to support the successful adoption of AI solutions

• Collaborate with business users to understand how data is created, maintained, interpreted, and used within daily operations
• Translate business processes, requirements, and challenges into clear AI-relevant data requirements
• Facilitate alignment between business stakeholders, AI Product Owners, Data Engineers, and AI Quality Assurance specialists
• Assess data quality, usability, completeness, consistency, and accuracy for AI and machine learning use cases
• Identify AI-relevant data quality gaps and analyze their business-, process-, or system-related root causes
• Drive and support improvement initiatives that increase the quality and usability of data for AI applications
• Support the preparation, validation, and continuous improvement of datasets used for AI model training, testing, and productive AI solutions
• Contribute to the definition of AI-specific data quality rules, validation criteria, and quality measures
• Document assessments, findings, improvement actions, and best practices to ensure transparency and sustainable implementation
• Conduct knowledge-sharing and enablement activities to strengthen awareness of AI-specific data quality requirements across the organization
• Promote collaboration and shared understanding between business and technical stakeholders to ensure successful AI outcomes

• Education: Bachelor’s degree in Business Information Systems, Information Management, Computer Science, Data & Analytics, Engineering, Business Administration, or a comparable field.

• Experience:

• Experience working in data-, digital-, analytics-, AI-, or process-related roles within cross-functional business environments.
• Experience collaborating with both business users and technical teams and translating business needs into actionable solutions is required.
• Experience in data governance, business analytics, process management, digital transformation, or AI enablement initiatives is considered a strong advantage.

Expertise:

• Strong understanding of how business processes generate, maintain, and consume data across different systems and functions
• Ability to translate business requirements and operational challenges into AI-relevant data needs and improvement measures
• Experience assessing and improving data quality for AI, analytics, digital, or data-driven use cases
• Understanding of how structured, semi-structured, and unstructured data can support AI and machine learning applications
• Awareness of common AI-related data quality risks such as missing information, inconsistent labeling, data drift, bias, and data leakage
• Understanding of the AI/ML lifecycle with a particular focus on data preparation, validation, and monitoring
• Ability to evaluate whether operational and training data are suitable for AI applications
• Experience collaborating across business and technical functions within matrix organizations
• Strong stakeholder management and facilitation skills with the ability to align diverse interests and priorities
• Excellent communication skills with the ability to explain AI- and data-related concepts to non-technical stakeholders
• Basic understanding of data analysis concepts; hands-on SQL or Python knowledge is beneficial but not required
• Experience validating AI-, ML-, or LLM-based solutions is considered a strong advantage

Language Skills: Fluent English skills are required. German language skills are beneficial.

Personality:

• Strong analytical mindset combined with sound business understanding
• Structured, pragmatic, and solution-oriented working style
• Strong communication and collaboration skills
• Ability to act as a trusted partner between business and technical stakeholders
• Ability to influence and align stakeholders without formal authority
• Comfortable working in dynamic and evolving environments
• Strong prioritization skills and the ability to turn complexity into actionable solutions
• Passion for enabling business value through data and AI

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.

If you have any questions regarding this job posting, our recruiting team will be happy to assist you. You can reach us at TalentAcquisitionGermany@mann-hummel.com. Please make sure to include the job title and location of the position you are interested in when contacting us., 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 - all of which awaits you here.

• You work with a high degree of autonomy and decision-making freedom
• A 40-hour work week
• Performance-based compensation and comprehensive social benefits
• Flexible working hours/trust-based working time, plus 30 days of vacation
• Hybrid working option: 4 days office - 1 day home (children unter 12: 3 days office - 2 days home)
• Everyone has Talent: Our talent management process supports your professional development
• In-house company restaurant
• Reserved places in a private daycare center nearby (for both under-3 and over-3 children)
• A modern company pension plan to complement your statutory pension insurance
• Additional private health insurance (e.g., dental insurance)
• A wide range of discounts through our Corporate Benefits Portal (e.g., on vacations, fashion, insurance, etc.)
• Mobility benefits: subsidy for the Germany Ticket, JobRad leasing, and e-charging stations in the free company parking garage with a company charging rate