What are the responsibilities and job description for the Delivery Lead (AI Solutions) position at Dynamixe Digital?
Delivery Lead – AI Solutions
Location: Detroit,MI
Delivery Lead – AI Solutions to manage the successful execution and delivery of AI-driven projects and programs. The ideal candidate will possess a strong understanding of AI/ML technologies, project management expertise, and the ability to coordinate diverse teams to deliver innovative and impactful solutions. As a Delivery Lead, you will be responsible for overseeing project lifecycles, ensuring stakeholder alignment, and driving the adoption of AI solutions that meet business objectives.
Candidate should have worked in the Automotive/Manufacturing domain
- Project Delivery Management:
o Ensure projects are delivered on time, within scope, and budget, while meeting quality standards.
- Stakeholder Coordination:
o Act as the main point of contact for stakeholders, providing regular updates and addressing concerns.
- Team Leadership:
o Foster a collaborative and high-performing team environment, ensuring clear roles and responsibilities.
- Risk & Issue Management:
o Proactively address challenges to minimize disruptions and maintain project momentum.
- Process Optimization:
o Continuously improve delivery frameworks to enhance efficiency and outcomes.
- Performance Monitoring & Reporting:
o Prepare and deliver detailed reports, dashboards, and presentations for stakeholders and leadership teams.
- Quality Assurance:
o Conduct post-delivery evaluations to gather feedback, identify lessons learned, and improve future projects.
Education:
- Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field.
- Master’s degree or equivalent experience is a plus.
- 7 years of experience in project or delivery management, with at least 3 years focused on AI/ML or data-driven solutions.
- Proven track record of successfully delivering complex AI/ML projects in a client facing or enterprise environment.
Skills & Expertise:
- AI/ML Knowledge:
o Understanding of AI applications such as predictive analytics, NLP, computer vision, and automation.
- Project Management Expertise:
o Proficiency with project management tools like Jira, Asana, MS Project, or similar.
- Business Acumen:
o Expertise in managing budgets, timelines, and resource allocation for multiple projects
Leadership & Communication:
o Exceptional leadership and team management skills to drive accountability and performance.
o Strong communication and interpersonal skills for stakeholder engagement and relationship management.
- Technical Understanding:
o Experience with big data technologies and AI tools is a plus.
Preferred Qualifications:
- Certifications in project management (PMP, PRINCE2, or SAFe) or Agile methodologies.
- Knowledge of AI ethics, compliance, and data governance standards.