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Ai Program Manager Jobs in Topeka, KS (NOW HIRING)

Fresenius Medical Care

Registered Dietitian

Topeka, KS · On-site

$29.50 - $39.50/hr

... program. * Collaborates and coordinates with team members in provision of Pre-ESRD education as appropriate. * When appropriate, works with Case Manager to coordinate plan of care for patient ...

CRH

Forklift Operator

Topeka, KS · On-site

$14 - $16.25/hr

Group retirement savings program * Health and wellness programs * An inclusive culture that values ... AI tools may be used in certain stages of the employment lifecycle, such as candidate review ...

Aprio

Senior Associate, Assurance Services

Topeka, KS · On-site +1

Utilizing time management to plan and schedule client engagements * Assembling trial balances and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Aprio

Senior Associate, Assurance Services

Topeka, KS · On-site

Utilizing time management to plan and schedule client engagements * Assembling trial balances and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Ai Program Manager information

See Topeka, KS salary details

$36.2K

$101.1K

$147.8K

How much do ai program manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai program manager in Topeka, KS is $101,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $124,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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. Strong project management skills and knowledge of AI tools are important for this role.

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For Ai Program Manager jobs in Topeka, KS, the most frequently searched job titles are:

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The top searched job categories for Ai Program Manager jobs in Topeka, KS are:

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Cities near Topeka, KS with the most Ai Program Manager job openings:

Ai Program Manager jobs near you

Clinical Therapist (LCPC or LSCSW) up to $5k Bonus!

GuideStar Eldercare

Topeka, KS

$1.5K/day

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Up to $5k bonus
 
Job Description:
As a Licensed Clinical Social Worker (LCSW) or Licensed Mental Health Counselor (LMHC) with GuideStar Eldercare you will provide neurobehavioral health services to residents in long-term care facilities. Using a multi-disciplinary approach, you will partner with specialty clinicians to provide holistic, continuity of care for elderly individuals who are afflicted with neurocognitive disorders and other neurologic and/or psychiatric conditions.
 
What you will do:
- Provide evaluation 
- Provide condition-specific support therapy, or when indicated, insight-based therapy
- Coordinate the patient's care plan with the facility, PCP and GuideStar colleagues, and engage with the family as indicated.   
 
Required Qualifications:
- Ability to work as part of an interdisciplinary treatment team
- Good time management skills
- Able to function autonomously with regional Area Manager support 
- Master's degree in Mental Health Counseling or in Social Work
- Currently licensed as an LCSW or LMHC in the state in which you are applying
 
Preferred Skills:
- Passion for geriatrics 
- Experience in inpatient settings such as extended care facilities
- Experience with brief bedside assessment screens (cognitive, mood, etc.)
- Motivated by productivity-based positions
- Ability to navigate and document on an Electronic Medical Record (EMR) system 
 
Benefits:
- Industry competitive salary with additional income potential through productivity bonus
- Excellent benefits package, including medical, dental, vision, 401K
- Employee Only medical premiums are 100% company paid
- Annual CME/CEU reimbursement up to $1,500
- 60-day new-hire training program
- Four (4) weeks paid time off
- Seven (7) paid holidays
- State licensing reimbursement
- Company provided medical malpractice insurance
 
All GuideStar employees must be vaccinated against the flu. GuideStar follows all applicable laws; contact [email protected] for more information. 
How to Apply
 
If you are interested in working with the geriatric population, have a passion for neurobehavioral science, and a desire to make a difference in a population struggling with dementia and other neurodegenerative and psychiatric disorders, click on the "apply now" button to forward your resume or contact us at [email protected] for more information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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