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- Tasks: Lead AI projects, manage teams, and ensure successful deployment of innovative solutions.
- Company: Join Lear, a global leader in automotive technology, dedicated to innovation and sustainability.
- Benefits: Enjoy competitive salary, learning opportunities, and a chance to make a real impact.
- Why this job: Be part of a diverse team driving responsible AI practices in the automotive industry.
- Qualifications: 5+ years in project management with a focus on AI/ML; degree in relevant fields required.
- Other info: Flexible travel required; experience in manufacturing and regulatory frameworks preferred.
The predicted salary is between 48000 - 72000 £ per year.
AI Project Manager
Coventry, UK
Company Overview
Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear\’s diverse team of talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks 189 on the Fortune 500. Further information about Lear is available at lear.com or on Twitter @LearCorporation.
Position overview:
As a member of the EU&AF AME team, working with all stakeholders in the identification, creation, development and deployment of AI solutions within the organization while driving measurable value, innovation and responsible use of AI within the organization.
Main Missions:
Project planning and execution:
- Define project scope, timelines, team, resources and milestones for the AI initiatives
- Manage cross-functional teams including data scientists, data engineers, software developers, suppliers, partners and business stakeholders
- Monitor project progress, identifying risks and establishing mitigation strategies
- Coordinate the activities required for the AI/ML lifecycle process including experimentation, deployment and monitoring.
Stakeholder Management:
- Translate technical requirements into clear business objectives and terms for all stakeholders
- Communicate regularly with the cross-functional teams, including the leadership team, providing a clear overview on the progress, results, roadblocks and next steps of each project. Establish a comprehensive communication plan including steering committees
- Serve as primary point of contact for all AI project deliverables.
- Process and Documentation:
- Ensure adherence to any chosen methodology tailored for the AI workflows (agile or hybrid). If there is no standard, definition of the standard along with other AI project managers in the AME team.
- Maintain proper documentation for the project: business case, cost savings calculation, requirements elicitation, timelines, RASIC, follow-up meetings, deployment roadmaps, quality reviews, risk assessments & strategies and outcomes.
- Document technical requirements needed for deployment on site. Make sure business processes are updated, training material ready, users trained, and systems set-up defined.
- Change management – define a workflow for the projects\’ customers for new request of features in the projects. Establish a prioritization methodology and regular reviews with affected stakeholders to agree on features to be worked on for next versions.
- Lessons learned of each project to be accounted for and documented. Best practice sharing with other peers.
- AI readiness and Governance:
- Ensure adherence to data quality standards. Compliance to applicable security regulation, data privacy laws, EU-AI intelligence Act and other applicable according to the region where the solutions are developed and deployed. Collaborate with legal, compliance and data teams to ensure projects meet regulatory and ethical standards.
- Drive the adoption of responsible AI practices including fairness, explainability and accountability
- Help develop and implement MLOps best practices and tooling.
Key Skills and Qualifications:
Required Qualifications :
- 5+ years of project management experience, with affinity to new technologies and AI/ML projects
- Strong understanding of AI/ML technologies and lifecycle (data acquisition, model development, training, evaluation, deployment)
- Strong leadership and problem-solving skills.
- Willingness and flexibility to travel within the role.
- Excellent communication and stakeholder management skills.
- Strong working knowledge of MS Office. Familiar with tools like JIRA, Confluence, Trello or similar.
- Degree in Engineering, Computer Science, Data Science, Maths, Business or related field
Preferred Qualitfications :
- Project management experience with project budget control greater than €2m.
- At least 2 years managing AI/ML projects
- Experience in the Manufacturing industry.
- PMP, Agile or Scrum certified.
- Exposure to regulatory frameworks such as GDPR, HIPAA, EU-AI Act.
- Understanding of CE certification requirements.
Why Lear
We offer a fantastic place to work that embraces diversity, opportunities for growth and the chance to be part of a company that puts its people first.
What We Offer
- Competitive Salary,
- Access to Learning and development opportunities.
- Opportunities to give back to the community.
- Meaningful work that makes a difference in the world
#LI-KE1
Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.
Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location Code: 0802 #J-18808-Ljbffr
AI Project Manager employer: Lear Corporation
Contact Detail:
Lear Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Project Manager
✨Tip Number 1
Familiarise yourself with AI/ML technologies and their lifecycle. Understanding the nuances of data acquisition, model development, and deployment will help you speak confidently about your experience and how it aligns with Lear's needs.
✨Tip Number 2
Network with professionals in the automotive and AI sectors. Attend industry events or webinars to connect with potential colleagues at Lear, which can give you insights into their projects and culture.
✨Tip Number 3
Brush up on your project management methodologies, especially Agile and Scrum. Being able to discuss how you've successfully implemented these frameworks in past projects will demonstrate your fit for the role.
✨Tip Number 4
Prepare to discuss your experience with stakeholder management. Be ready to share examples of how you've effectively communicated technical requirements to non-technical stakeholders, as this is crucial for the AI Project Manager role.
We think you need these skills to ace AI Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant project management experience, especially in AI/ML projects. Use specific examples that demonstrate your leadership skills and understanding of AI technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Lear's mission. Mention your experience with cross-functional teams and stakeholder management to show you can handle the role's responsibilities.
Highlight Relevant Skills: Clearly list your qualifications related to project management methodologies (like Agile or Scrum), tools (such as JIRA or Confluence), and any certifications you hold. This will help you stand out as a candidate who meets their requirements.
Showcase Your Understanding of Compliance: Since the role involves adherence to data quality standards and regulatory frameworks, include any experience you have with GDPR, HIPAA, or similar regulations. This demonstrates your readiness to handle the governance aspects of AI projects.
How to prepare for a job interview at Lear Corporation
✨Understand AI/ML Technologies
Make sure you have a solid grasp of AI and machine learning concepts. Be prepared to discuss the lifecycle of AI projects, including data acquisition, model development, and deployment. This will show your technical competence and help you communicate effectively with stakeholders.
✨Showcase Project Management Experience
Highlight your project management experience, especially in AI/ML projects. Be ready to share specific examples where you successfully managed cross-functional teams and delivered projects on time and within budget. This will demonstrate your leadership skills and ability to drive results.
✨Prepare for Stakeholder Management Questions
Expect questions about how you manage stakeholder expectations and communication. Prepare examples of how you've translated technical requirements into business objectives and how you've kept teams informed about project progress. This is crucial for the role.
✨Familiarise Yourself with Compliance Standards
Since the role involves adherence to data quality standards and compliance with regulations like GDPR and the EU-AI Act, be prepared to discuss your understanding of these frameworks. Showing awareness of ethical AI practices will set you apart as a candidate who values responsible innovation.
