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Assistant Ai Project Management Jobs in Michigan

They combine PMO rigor, executive communication, analytical judgment, change-management discipline, financial fluency, and practical responsible-AI awareness to help the business adopt AI in ways ...

... edge Assist AI platforms. You will act and be recognized as the leader / focal point for all ... Utilize established project management methodologies (including Six Sigma) to maximize efficiency ...

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Project Management

Detroit, MI · On-site

$31 - $32/hr

Experience in managing projects required. Demonstrated knowledge preferred in: system development ... Smartsheet, AI (Copilot/SecureGPT) Education/Certifications - Include: • Bachelor's Degree ...

New

Assistant Project Manager

Midland, MI · On-site

$70K - $80K/yr

AI and Innovation At SSOE, we don't just talk about the future, we build it. As a leader in ... Bachelor Degree in in Business, Technology, Project Management or related field. * 3 years related ...

New

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible ... Bachelor Degree in in Business, Technology, Project Management or related field. * 3 years related ...

New

$13.75 - $18.25/hr

Responsibilities * Assist in coordinating IT and digital projects, including system implementations ... Exposure to or interest in AI tools, automation platforms, data analysis tools, or generative AI ...

Project Manager III Reports To: Manager of Project Management Direct Reports: None Compensation ... Expedite customer approvals and shipping releases. Assist with expediting customer payments as ...

Zobility is a workforce management and staffing division of RGBSI, a multi-national corporation ... They are seeking a Project Manager to create and manage a product roadmap for AI/ML initiatives ...

You'll leverage your skills in project management, process improvement, and stakeholder ... followups. * Assist with process improvement initiatives by documenting workflows, identifying ...

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Assistant Ai Project Management information

What is an Assistant AI Project Manager?

An Assistant AI Project Manager is a professional who supports the planning, coordination, and execution of artificial intelligence projects within an organization. They work closely with project managers, data scientists, engineers, and stakeholders to ensure project milestones are met and resources are effectively allocated. Their responsibilities often include scheduling meetings, tracking progress, preparing documentation, and facilitating communication among team members. This role is essential for ensuring that AI projects run smoothly and are delivered on time and within budget.

What are the key skills and qualifications needed to thrive as an Assistant AI Project Manager, and why are they important?

To thrive as an Assistant AI Project Manager, you need foundational knowledge in project management methodologies, basic understanding of AI concepts, and a relevant degree such as in computer science or business. Familiarity with project management tools like Jira or Trello, and exposure to AI platforms or software (e.g., TensorFlow, Azure AI) are typically required. Strong organizational, communication, and problem-solving skills help you coordinate tasks and collaborate effectively across technical and non-technical teams. These skills and qualifications are essential for ensuring AI projects run smoothly, deadlines are met, and stakeholder expectations are managed.

What is the difference between Assistant Ai Project Management vs Data Analyst?

AspectAssistant Ai Project ManagementData Analyst
Required CredentialsCertifications in AI tools, project management, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI startups, project teamsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsageUsed in AI-focused projects to assist in management tasksAnalyzes data to inform business decisions
Common Search & ComparisonOften compared for roles supporting AI projectsCompared for data-driven decision roles

Assistant Ai Project Management focuses on supporting AI project teams with management tasks, requiring certifications in AI tools and project management. Data Analysts analyze data to guide business decisions, often with degrees in data science. While both roles work in tech environments, their core functions differ: one manages projects, the other interprets data.

How does an Assistant AI Project Manager typically collaborate with cross-functional teams during a project lifecycle?

As an Assistant AI Project Manager, you will regularly coordinate with data scientists, software engineers, business analysts, and stakeholders to ensure project milestones are met. This involves organizing meetings, tracking progress, and facilitating clear communication among team members with varying technical backgrounds. You'll also help manage project documentation and communicate updates, ensuring alignment on objectives and timelines. Effective collaboration skills are essential, as you'll serve as a bridge between technical and non-technical contributors throughout the project lifecycle.
What are the most commonly searched types of Ai Project Management jobs in Michigan? The most popular types of Ai Project Management jobs in Michigan are:
What are popular job titles related to Assistant Ai Project Management jobs in Michigan? For Assistant Ai Project Management jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Assistant Ai Project Management jobs in Michigan look for? The top searched job categories for Assistant Ai Project Management jobs in Michigan are:
What cities in Michigan are hiring for Assistant Ai Project Management jobs? Cities in Michigan with the most Assistant Ai Project Management job openings:
Infographic showing various Assistant Ai Project Management job openings in Michigan as of July 2026, with employment types broken down into 70% Full Time, 20% Part Time, 9% Contract, and 1% Nights. Highlights an 58% Physical, 4% Hybrid, and 38% Remote job distribution.

Delivery Lead (AI Solutions)

Dynamixe Digital

Detroit, MI

Contractor

Re-posted 16 days ago


Job description

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
 

Key Responsibilities:
• Project Delivery Management:
o Oversee the end-to-end delivery of AI solutions, from planning and development to deployment and post-implementation support.
o Ensure projects are delivered on time, within scope, and budget, while meeting quality standards.
 

• Stakeholder Coordination:
o Collaborate with clients, internal teams, and external partners to define project goals, requirements, and success metrics.
o Act as the main point of contact for stakeholders, providing regular updates and addressing concerns.
 

• Team Leadership:
o Lead and manage cross-functional teams, including data scientists, machine learning engineers, software developers, and analysts.
o Foster a collaborative and high-performing team environment, ensuring clear roles and responsibilities.
 

• Risk & Issue Management:
o Identify potential risks, issues, and dependencies in projects, and develop effective mitigation strategies.
o Proactively address challenges to minimize disruptions and maintain project momentum.
 

• Process Optimization:
o Establish and maintain best practices in AI project delivery, including Agile methodologies and DevOps pipelines.
o Continuously improve delivery frameworks to enhance efficiency and outcomes.
 

• Performance Monitoring & Reporting:
o Track and evaluate project performance against defined KPIs and success metrics.
o Prepare and deliver detailed reports, dashboards, and presentations for stakeholders and leadership teams.
 

• Quality Assurance:
o Ensure all deliverables meet technical, functional, and business requirements.
o Conduct post-delivery evaluations to gather feedback, identify lessons learned, and improve future projects.
 

Qualifications:
Education:
• Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field.
• Master’s degree or equivalent experience is a plus.
 

Experience:
• 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 Familiarity with AI/ML technologies, frameworks, and lifecycle stages, including data preparation, model development, and deployment.
o Understanding of AI applications such as predictive analytics, NLP, computer vision, and automation.
 

• Project Management Expertise:
o Strong knowledge of project management methodologies (Agile, Scrum, Kanban, Waterfall).
o Proficiency with project management tools like Jira, Asana, MS Project, or similar.
 


 

• Business Acumen:
o Ability to align AI solution delivery with business objectives and client needs.
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 Knowledge of cloud platforms (AWS, Azure, GCP) and DevOps practices for AI/ML deployment.
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.