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Generative Ai Project Manager Jobs in Ohio (NOW HIRING)

Position Summary The AI Project Manager will own the end-to-end delivery lifecycle of enterprise AI initiatives--from technical scoping through deployment. The role will partner with engineering ...

Position Summary The AI Project Manager will own the end-to-end delivery lifecycle of enterprise AI initiatives-from technical scoping through deployment. The role will partner with engineering, data ...

Working across Medpace on behalf of the Chief AI Office, the individual will manage and provide accountability for day-to-day operations of the overall AI project list and ensure good communications ...

OH

$117K - $151K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Working across Medpace on behalf of the Chief AI Office, the individual will manage and provide accountability for day-to-day operations of the overall AI project list and ensure good communications ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Knowledge of ethical considerations and responsible Generative AI practices. * Experience in leading or managing artificial intelligence projects or teams. * Strong communication and presentation ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Knowledge of ethical considerations and responsible Generative AI practices. * Experience in leading or managing artificial intelligence projects or teams. * Strong communication and presentation ...

Partner with product managers, engineers, data architects, and business stakeholders to identify and prioritize GenAI opportunities. * Stay current with advances in Generative AI, agentic systems ...

Partner with product managers, engineers, data architects, and business stakeholders to identify and prioritize GenAI opportunities. * Stay current with advances in Generative AI, agentic systems ...

Partner with product managers, engineers, data architects, and business stakeholders to identify and prioritize GenAI opportunities. * Stay current with advances in Generative AI, agentic systems ...

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Generative Ai Project Manager information

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
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Infographic showing various Generative Ai Project Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

AI Project Manager

ultimus

Clifton Park, NY

Full-time

Posted 7 days ago


Job description

Position Summary

The AI Project Manager will own the end-to-end delivery lifecycle of enterprise AI initiatives—from technical scoping through deployment. The role will partner with engineering, data science, and business leaders to coordinate resources, mitigate project risks, and ensure AI investments are successfully integrated into daily operations. The role requires a highly organized leader who can manage complex technical logistics and drive alignment across business, operations, and technology teams.

Key Responsibilities
  • Manage the end-to-end lifecycle of technical AI projects, ensuring on-time and on-budget delivery
  • Coordinate diverse resources across engineering, data science, and business operations to support transformation initiatives
  • Actively identify and mitigate risks specific to AI deployment, including regulatory compliance and data privacy
  • Facilitate clear communication between highly technical developers and business stakeholders
  • Establish project KPIs tied to delivery speed, budget adherence, and successful operational handoffs
Qualifications
  • 5+ years of experience in technical project management, preferably overseeing data or software engineering initiatives
  • Demonstrated ability to drive cross-functional technical initiatives and deliver measurable project outcomes
  • Strong conceptual understanding of machine learning lifecycles and AI infrastructure
  • Ability to work effectively with technical teams to clear roadblocks and manage timelines
  • Experience in financial services or fund administration preferred but not required
  • PMP, Agile, or similar project management certifications preferred
  • Operator mindset with a focus on execution and delivery outcomes