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Ai Program Manager Jobs in Tennessee (NOW HIRING)

Program Manager

Franklin, TN · On-site

$95 - $100/hr

Program Manager (Data & AI) Role Purpose Owns end-to-end delivery, coordination, and operating rhythm for data and AI initiatives across domains and shared services. Ensures outcomes are delivered on ...

Program ManagerUnited States (Remote) Trending Program Manager Censis Technologies is seeking an ... AI-powered automation, and other disruptive technologies. We're a force for progress, working ...

... Establish AI program roadmaps, success metrics, and governance frameworks to drive consistent ... ) to define and implement the AI project portfolio • Partner closely with cross-functional ...

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines ...

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines ...

Technical Program Manager

Memphis, TN · On-site

$125K - $162K/yr

As a Technical Program Manager (TPM) on the Search Platform team, you will lead the end-to-end ... AI-driven discovery experiences across our digital ecosystem. You will partner closely with ...

Leverages AI-enabled capabilities, including generative AI, large language models, and AI-enabled automation tools, to improve program planning, reporting, risk management, decision support, and ...

Technical Program Manager

Memphis, TN

$125K - $162K/yr

... AI-driven discovery experiences across our digital ecosystem. You will partner closely with ... Program Management or leading large-scale, cross-functional initiatives Proven experience ...

Leverages AI-enabled capabilities, including generative AI, large language models, and AI-enabled automation tools, to improve program planning, reporting, risk management, decision support, and ...

Leverages AI-enabled capabilities, including generative AI, large language models, and AI-enabled automation tools, to improve program planning, reporting, risk management, decision support, and ...

Sr. Program Manager

Knoxville, TN · On-site

$110K - $111K/yr

Job Title: Sr. Program Manager Job Location: Knoxville, TN (Remote + Some Travel) Interview ... Exposure to AI-enabled or data-driven platform initiatives Skills: Project Management Skills

The Technical Program Manager (TPM) - Product Engineering & Execution serves as a critical bridge ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Housekeeping and other activities as assigned Qualifications : * 3-5 years Program Management ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Housekeeping and other activities as assigned Qualifications : * 3-5 years Program Management ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

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Showing results 1-20

Ai Program Manager information

See Tennessee salary details

$34.9K

$97.5K

$142.5K

How much do ai program manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for ai program manager in Tennessee is $97,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $120,300.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of artificial intelligence into projects, coordinating teams and managing timelines. While AI can automate routine tasks and assist in data analysis, human oversight, strategic decision-making, and stakeholder communication remain essential, making complete replacement unlikely in the near term.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines and budgets, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves aligning AI initiatives with strategic goals and ensuring successful deployment and integration.

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

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI program managers with extensive experience and responsibilities. These positions often require advanced skills in AI development, leadership, and strategic planning, and may include bonuses or stock options that contribute to total compensation.
What are popular job titles related to Ai Program Manager jobs in Tennessee? For Ai Program Manager jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Ai Program Manager jobs? Cities in Tennessee with the most Ai Program Manager job openings:

AI Innovation Program Manager

Stralynn Consulting Services, Inc.

Brentwood, TN • On-site

Full-time

Posted 24 days ago


Job description

We are seeking an experienced AI Strategist to define, prioritize, and operationalize Artificial Intelligence initiatives across the organization. This role will bridge business strategy, data science, product, operations, and technology teams to identify high-impact AI opportunities and lead enterprise-wide AI adoption.

The ideal candidate combines strategic thinking, program leadership, stakeholder management, and a practical understanding of AI/ML technologies, including Generative AI, automation, analytics, and intelligent workflow transformation.

This role is responsible for building the organization’s AI roadmap, governance framework, vendor strategy, and execution model while ensuring measurable business outcomes.

Requirements: 

 
  • Bachelor’s degree in Business, Computer Science, Engineering, Data Analytics, or related field.
  • 8+ years of experience in: Digital transformation, AI/ML strategy, Program management, Enterprise technology initiatives
  • Experience leading cross-functional enterprise programs.
  • Strong understanding of Generative AI, Machine Learning, NLP, Data governance, Cloud AI ecosystems
  • Proven ability to translate technical concepts into business outcomes.
  • Experience with Agile delivery methodologies.
 

Previous experience 

  • You're deeply engaged with the AI ecosystem, and stay current on recent AI tooling/innovation
  • Technical foundation: ideally, a software engineering or security engineering background
  • Program management experience in regulated, high-trust environments (security, privacy, compliance)
  • Excellent cross-functional facilitation; can drive decisions across stakeholders with different priorities
  • Operational rigor: documentation, artifacts, audit trails, escalation pathways, process improvement are second nature
  • Can translate AI controls into practical team workflows

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