AI Data Enablement & Quality Specialist (mfd)

As AI Data Enablement & Quality Specialist (m/f/d) you play a key role in enabling successful AI solutions across MANNHUMMEL 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: Bachelors 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 . Please make sure to include the job title and location of the position you are interested in when contacting us.

Please note that for data protection reasons we cannot accept applications via email. Kindly use our online application form instead.

• 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