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Garrett Advancing Motion

Data & AI Excellence Lead

Brno, Czech Republic

Garrett is the true pioneer of automotive turbocharging dating back more than 60 years and continues today as the world's leader in turbo technology solutions and an experienced supplier of electric boosting products and automotive software to support passenger cars, commercial vehicles and off-highway equipment. With a worldwide footprint of engineering centers, testing labs and manufacturing facilities, Garrett serves all major automotive companies to implement key differentiated technology offerings.

This role builds and maintains effective relations between IT and internal business management to ensure success in meeting business goals and objectives. Understands internal customers and their businesses, assesses opportunities, challenges, and weaknesses facing the internal business community and serves internal client needs in keeping pace with the dynamics of the business.

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Actively identifies new technological opportunities that will help achieve incremental or step change improvements in business processes.
Cutting edge solution provider in Data Management, Analytics & AI along with being a relationship building partner between all business functions & cross functional IT domains.

The Data & AI excellence leader will formulate and implement data & AI strategies and roadmaps along with formulating and implementing strategies for managing & using data and AI to achieve business objectives, improve decision-making, and drive innovation opportunities along with driving a data culture within the organization.


  • Stakeholder Management:

- Work with business leadership and stakeholders in the efficient and cost-effective delivery of data & AI solutions to address business issues
- Work on complex business requirements and provide highly innovative solutions using domain expertise to enable quality decision making along with managing & deploying solutions to ensure data integrity across all Garrett applications.
- Proactively manage stakeholder expectations and communicate progress, decision-making and prioritization
- Foster partnerships and collaborations with internal & external stakeholders and industry peers to share data, knowledge, and best practices.

  • Data & AI

- Drive data-driven culture within the organization in line with strategy by promoting data literacy and awareness, and encouraging the use of data and AI in decision-making.
- Work with business leaders to Identify and prioritize use cases for Data & AI, and assess their feasibility, potential impact, and resource requirements.
- Build the necessary data and AI capabilities within the organization, including data governance, data quality, data management, and machine learning.
- Lead a team of data scientists, analysts, data architect and engineers to develop and deploy analytics solutions that deliver measurable business value.
- Manage & implement the organization's data governance, data quality, and data management processes to ensure data accuracy, completeness, and security along with ethical use of AI technologies
- Develop and implement data visualization and reporting frameworks to facilitate data-driven decision-making.
- Ensure compliance with relevant laws and regulations related to data privacy, security, and accessibility.

  • Project, Risk & Change Management

- Actively coordinate all phases of project from concept, project planning, development, execution, monitoring to project closure
- Drive change management and be key in implementing change in the organization
- Track program KPIs and metrics, and assist with reporting on those metrics to stakeholders

  • People Leadership & Organizational/ Capability Development

- Identification of required strategic vs commodity skills within Data & AI Excellence and definition of sourcing depth of related tech services
- Implement sourcing measures including right sourcing and right shoring to build up such capabilities
- Establish a culture of passion for change, digital technologies, adopting agile practices both internally as well as with other IT teams and vendors

Your profile:

  • Bachelor's or Master's degree in a relevant field such as computer science, information systems, or data management
  • Min 10 years of direct experience in IT and business partnership roles
  • Proven leadership experience with credible strong potential for higher level management
  • Technical Proficiency: A strong understanding of data and AI technologies is essential. This includes knowledge of programming languages (such as Python or R), statistical analysis, machine learning algorithms, data mining techniques, data visualization, data virtualization, data lake management, data integration, data exchange and big data technologies. Strong experience in data management , data governance , analytics & ML/AI frameworks & deployment.
  • Strategic Thinking: Ability to think strategically and understand how data and AI can drive business value. Able to align data and AI initiatives with the overall organizational goals and develop a clear data & AI roadmap roadmap for implementation.
  • Data Governance and Ethics: Deep understanding of data governance principles and compliance with relevant regulations and ethical considerations. They should be knowledgeable about data privacy, security, and responsible AI practices.
  • Leadership and Communication: Strong leadership skills essential . They should be able to inspire and motivate the team, set clear goals, and provide guidance and support. Effective communication for conveying complex technical concepts to non-technical stakeholders.
  • Analytical and Problem-Solving Abilities: Strong analytical skills to interpret and analyze complex datasets. Demonstrable Experience building insights from data, to solve business problems and make data-driven decisions.
  • Collaboration and Relationship Building: Demonstrable experience of leading cross-functional teams, and ability to collaborate and build relationships both with internal stakeholders & external parties is crucial. Experience of building & leading team of data professionals - including data scientists , data engineers, data visualization specialists and working with domain teams data scientists, engineers, business leaders, and other stakeholders to drive data and AI initiatives.
  • Continuous Learning and Adaptability: Data & Ai is constantly evolving, . The D&A lead should have a growth mindset and a willingness to learn and adapt. They should stay up-to-date with the latest advancements in technology, industry trends, and best practices.
  • Business Acumen: Data and AI leader should have a strong business acumen and be able to understand the needs and challenges of the organization and build the respective data strategy & roadmap. They should be able to translate business requirements into data and AI solutions that deliver measurable value.


This is an exciting time to join Garrett Motion! Garrett is one of the automotive industry's most iconic brands, a global innovator and technology leader that enables vehicles to be cleaner, more efficient and connected. With a nearly 70-year legacy, we serve customers worldwide with passenger vehicle, commercial vehicle, aftermarket replacement, and performance enhancement solutions.

Our comprehensive portfolio of emission-reducing and zero-emission solutions advance sustainable motion, from world-class turbocharging and electric boosting technologies for hybrids, to electrified powertrains and automotive software.

With innovations that combine the best of mechanical and electric, Garrett is redefining zero-emission automotive technologies.


The Garrett Information Technology (IT) team focuses on understanding the business, market challenges and new technologies to deliver competitive and innovative services that make our business more flexible both today and in the future

Client-provided location(s): Brno, Czechia
Job ID: Garrett_Motion-10241
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Life Insurance
    • Fitness Subsidies
    • Mental Health Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Personal/Sick Days
    • Leave of Absence
    • Paid Holidays
  • Financial and Retirement

    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Leadership Training Program
    • Associate or Rotational Training Program
    • Work Visa Sponsorship
    • Internship Program
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program