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Data Intelligence and AI Team Lead (m/f/d)

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Data Intelligence and AI Team Lead (m/f/d)

EOS GmbH

Maschinenbau, Betriebstechnik

Krailling

  • Art der Beschäftigung: Vollzeit
  • 82.000 € – 99.000 € (von XING geschätzt)
  • Vor Ort
  • Aktiv auf der Suche

Data Intelligence and AI Team Lead (m/f/d)

Über diesen Job

locations
Krailling
time type
Full time
posted on
Posted 17 Days Ago
job requisition id
JR101863

We, EOS - world market leader for industrial 3D printing, are looking for you to lead our Data Intelligence and AI Team in Krailling.

TECHNOLOGY is what unites us. MEANINGFUL are our daily actions. INDEPENDENT is what we remain . We believe we can help create a better world for everyone - this is what EOS stands for.

Your Mission

  • Execute strategic leadership: You develop and implement the Data Intelligence and AI roadmap in alignment with corporate objectives, and steer initiatives that unlock measurable business value through Data and AI.

  • Engage with stakeholders: You collaborate closely with business units, IT, and management, and translate complex technical concepts into business value.

  • Build and mentor a team: You provide functional and disciplinary leadership to the team, including coaching, mentoring, and fostering a culture of learning and collaboration.

  • Drive initiatives and explore innovation: You identify and evaluate new use cases, prioritize and execute projects across GenAI, RAG, Predictive Analytics, and systematically advance innovation within the organization.

  • Ensure governance and compliance: You establish and maintain standards for data quality, data protection, and responsible AI usage, ensuring adherence to regulatory and internal requirements.

  • Plan budget & resources: You oversee budgets, tools, and resource planning, ensuring that capabilities and capacities are aligned with strategic goals.

Your Talents

  • Completed degree in computer science, data science, mathematics, business informatics or a comparable field, or similar educational level

  • Several years of experience in successfully implementing Data and AI/ML initiatives from concept to production and continuous optimization

  • Deep understanding of Data Engineering, AI/ML, Azure stack (Databricks, ML Studio, DevOps)

  • Experienced leader skilled at aligning diverse teams and building strong stakeholder partnerships

  • Ability to translate data-driven decisions and AI initiatives into measurable business success

  • Experience with enterprise architectures and data governance frameworks

  • Knowledge of GenAI strategies and their scaling

  • Excellent presentation and facilitation skills in English and German

Our Benefits

  • Flexible working time models, 30 days of vacation

  • Travel allowance for public transport, job bike, parking spaces, charging facilities for electric vehicles

  • Childcare allowance

  • Possibility of personal timeout

  • Health offerings

  • Company restaurant

  • Reimbursement of relocation expenses

  • T argeted further education opportunities

  • Corporate Benefits for employees

Are you in?

We are looking forward to your application via our online system! If you have any questions, feel free to contact Lea Seestaller via recruiting@eos.info .

Our Vision:

Over 1000 sharp minds, about 60 nationalities, one goal: accelerating the world’s transition to Responsible Manufacturing.

Our proven technology, industrial 3D printing, has been extending the boundaries of manufacturing for over 30 years.

We work globally networked and prefer to think outside the box – and we’re looking for people who want to shape the future with us.

EOS welcomes individuals from all backgrounds, ensuring equal opportunities without regard to race, color, religion, national origin, gender identity, expression, sexual orientation, age, or disability. At EOS, equity and inclusion are fundamental principles, and we believe in creating a work environment that is built on empathy, respect, and fairness. We are ALL IN.

Gehalts-Prognose

Unternehmens-Details

company logo

EOS GmbH

Maschinenbau, Betriebstechnik

1.001-5.000 Mitarbeitende

Krailling, Deutschland

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