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Ai Program Manager Jobs in Anderson, IN (NOW HIRING)

The Program Manager owns delivery outcomes, commercial health, partner performance, and the ... Own the Responsible AI path for the Generative AI workstream: keep RAIR approval current, hold the ...

... Program Manager to our fast paced and dynamic team in Indianapolis. Daniels might be for you if ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... Program Manager to our fast paced and dynamic team in Indianapolis. Daniels might be for you if ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... This role leads the programs, learning, content, and measurement that drive adoption and effective ...

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Ai Program Manager information

See Anderson, IN salary details

$33.4K

$93.1K

$136K

How much do ai program manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai program manager in Anderson, IN is $93,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $114,800.00 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.

What are popular job titles related to Ai Program Manager jobs in Anderson, IN?

For Ai Program Manager jobs in Anderson, IN, the most frequently searched job titles are:

What job categories do people searching Ai Program Manager jobs in Anderson, IN look for?

The top searched job categories for Ai Program Manager jobs in Anderson, IN are:

What cities near Anderson, IN are hiring for Ai Program Manager jobs?

Cities near Anderson, IN with the most Ai Program Manager job openings:

Program Manager

eimagine

Indianapolis, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview

At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that possible.  Recognized as a Best Places to Work since 2015, we are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for our teammates. For over 25 years we have been helping clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success.

Due to our growth, we are seeking a Program Manager who can work across our customers, delivery partners, and internal teams to lead a multi-program portfolio to successful outcomes. The Program Manager owns delivery outcomes, commercial health, partner performance, and the customer relationship across concurrent programs, holds the interlocks and dependencies between them, and brings engagement managers, workstream leads, and partner leads into one operating model. Are you ready to eimagine better and partner with our clients to create business value through IT solutions?

 

Description of Duties:

  • Run one integrated plan, RAID log, and status narrative across all three programs, extending the Executive Review, Steering Committee, and weekly status cadence to every program.
  • Hold the scope boundary between the control tower and the enterprise data workstream: own the interlock cadence, maintain the joint dependency register, and escalate data-layer readiness risk before it impacts a release date.
  • Act as the single AWS point of contact to customer sponsors, keeping sequencing and release commitments aligned across programs that compete for the same customer subject matter experts.
  • Bring engagement managers, workstream leads, and partner leads into one operating model with a shared release calendar, one change-control process, and one escalation path.
  • Own the control tower recovery: re-baseline the release plan, drive testing delays back to green, and hold the scope-completion date against the requirements baseline.
  • Enforce the blueprint-before-build model and lock requirements per release.
  • Drive live delivery blockers to closure with workstream leads and customer SMEs.
  • Run deliverable review and acceptance for partner-produced work, with AWS retaining architecture authority and acceptance regardless of who builds.
  • Stand up the third program: shape scope with the account team, drive the Work Order to execution, run Sales-to-Delivery and Launch Ready Planning, and build the governance stack before the first sprint.
  • Own EAC, burn, and margin across the portfolio, with weekly burn tracking as a condition of engagement health.
  • Manage ProServe Investment consumption and the amendment and milestone rhythm, raising change requests when assumptions shift.
  • Track the customer PO position and keep the invoicing cycle ahead of delivery.
  • Report as-sold against as-delivered margin under ProServe KPI tolerance, with variance and corrective action reported monthly.
  • Manage three partner firms delivering under AWS paper, keeping responsibilities separated and documented in a RACI with distinct Work Orders per firm.
  • Keep partner Work Order coverage ahead of the work so that no partner hours are incurred at risk.
  • Run partner performance reviews, hours reconciliation, and time-and-expense approval through PSA Communities.
  • Maintain the AWS technical-oversight posture that supports super-thin-prime delivery.
  • Carry OQR and Bar Raiser conditions into the engagement RAID and track them to closure.
  • Ensure adequate security and compliance staffing posture across the portfolio.
  • Own the Responsible AI path for the Generative AI workstream: keep RAIR approval current, hold the Project Charter gate, and validate training-data sources against the no-regulated-data declaration.
  • Enforce standing guardrails: customer data stays in customer environments, ingress is never opened to 0.0.0.0/0, IAM policies never use a wildcard allow, and S3 Block Public Access stays on.
Desired Skills & Experience
  • 10+ years leading cloud, data, or software consulting delivery, including 3+ years running a multi-project portfolio or a program of $10M+ with concurrent workstreams.
  • Demonstrated recovery experience: taking over a schedule- or margin-distressed program, re-baselining it, and landing it.
  • Multi-partner co-delivery governance, including subcontracted GSIs on prime paper, with responsibility separation, Work Order management, and deliverable acceptance.
  • Commercial fluency across T&M and fixed-fee: EAC and burn management, change control, amendments, investment tranches, and PO and invoicing mechanics.
  • Executive communication to VP level and above on both customer and partner sides, with disciplined written status and financial reporting.
  • Agile/SAFe delivery leadership at scale, including release planning, PI planning, and requirements management across dependent workstreams.
  • Working command of enterprise data delivery on AWS (pipelines, lakehouse and data-product patterns, and analytics), with enough architecture literacy to challenge design decisions.
  • Pharma, life sciences, or another regulated industry background, with supply chain or operations domain exposure, preferred.
  • Prior AWS ProServe delivery leadership, including OQR, Bar Raiser, S2D and LRP, SDMP, and PSA Communities, preferred.
  • Generative AI program governance experience, including Responsible AI review, use-case intake and prioritization, guardrails, and operating-model design, preferred.
  • PMP, PgMP, or SAFe Program Consultant certification preferred.
Education
  • Bachelor’s degree in management, business or equivalent job-related experience.