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Generative Ai Project Manager Jobs in Indiana (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Indianapolis, IN · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

Blue Cross of Idaho

AI Technical Lead

Carmel, IN · On-site

$118.51 - $177.76/hr

AI Engineering & Development - Develop and deploy machine learning and generative AI solutions that ... Collaboration & Delivery - Work closely with product managers, data engineers, and business ...

Relativity

Software Engineer

Indianapolis, IN · On-site

... generative AI products. These systems enable secure and scalable access to foundation models across ... Contribute to building systems that route and manage AI traffic efficiently while maintaining ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... As an Associate, you will focus on learning and contributing to projects while developing your ...

CSAA

Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services. * Establish operational standards, support models, service-level objectives (SLOs ...

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Generative Ai Project Manager information

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.

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.

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Generative Ai Project Manager jobs near you

AI Enablement Manager

3Rivers Federal Credit Union

Fort Wayne, IN

$93K - $111K/yr

Full-time

Posted 18 days ago

Key responsibilities

  • Drive enterprise-wide adoption and effective use of artificial intelligence capabilities across the organization.

  • Serve as a primary bridge between business stakeholders and technology teams to translate business needs into AI solutions.

  • Lead efforts in AI strategy, business process transformation, AI adoption, training, governance, and ethical AI use.

Job description

AI Enablement Manager
Reports To: Chief Information Officer
Location: Onsite, Fort Wayne Corporate
Position Type: Exempt
Pay - $93,750 – $111,500
Note - The salary for this position is based on a combination of education, relevant experience, and industry standards. The top of the posted pay range reflects compensation for candidates with a similar title, performing comparable duties within a similar industry, and possessing 12 or more years of experience. Actual compensation will be determined based on individual qualifications.
Variable Incentive Pay / Merit: This position is eligible for variable incentive pay based on individual and credit union performance. In addition, the position is also eligible for merit-based pay adjustments after the completion of one year of service, based on personal performance.
Position Summary
The AI Enablement Manager is responsible for driving enterprise-wide adoption and effective use of artificial intelligence capabilities across the organization. This role serves as the primary bridge between business stakeholders and technology teams, translating business needs into practical AI solutions that improve productivity, decision-making, employee experiences, and member outcomes. The AI Enablement Manager leads efforts across AI strategy, business process transformation, AI adoption, training, governance, ethical AI use, and organizational readiness. This position partners with leaders and subject matter experts to evaluate opportunities, analyze current and future-state processes, curate AI use cases, and guide implementation efforts while ensuring alignment with organizational objectives, compliance requirements, and responsible AI principles. This role operates as a senior individual contributor, providing expertise, influence, and leadership across departments without direct supervisory authority while enabling teams to confidently and responsibly leverage AI technologies.
Knowledge Requirements
  • Strong understanding of foundational AI concepts, generative AI technologies, and AI use cases.
  • Knowledge of AI governance, ethics, explainability, risk management, and responsible AI practices.
  • Ability to analyze current-state and future-state business processes and identify improvement opportunities.
  • Strong problem-solving, critical thinking, and decision-making capabilities.
  • Excellent verbal, written, presentation, facilitation, and stakeholder management skills.
  • Ability to influence without direct authority and build alignment across diverse stakeholder groups.
  • Strong organizational, planning, and prioritization skills.
  • Demonstrated ability to lead change and drive adoption of emerging technologies.
  • Proficiency with Microsoft 365 applications, collaboration tools, and AI-enabled productivity platforms.
  • Ability to learn and adapt quickly in a rapidly evolving technology landscape.
Education and Experience
  • Bachelor's degree in Business, Information Technology, Computer Science, Data Analytics, Organizational Development, Communications, or a related field required.
  • 13 months to 3 years of experience in AI enablement, business analysis, consulting, technology adoption, process improvement, innovation, project management, or a related discipline.
  • Experience leading or supporting cross-functional technology or business transformation initiatives.
  • Experience facilitating training, coaching, workshops, or organizational adoption efforts preferred.
  • Experience evaluating business processes and recommending technology-enabled improvements preferred.
  • Experience working with AI, generative AI, automation, analytics, or digital transformation initiatives preferred.
Work Environment and Physical Effort
Normal
Core Values
Commitment- Be all in.
Consistency- Be all in EVERY DAY.
Innovation- Think (UYH) and ASK WHY.
Integrity- Do the RIGHT thing, not the easy or quick thing.
Quality - Do an OUTSTANDING job, don’t run out of GAS.
Trust- Hold trust and be trustworthy.
Value- Make members lives better, easier, safer; help them fulfill dreams; help them do what they don’t know how to or think isn’t possible even if it’s not here (see integrity above); make them wiser; help them build wealth (beyond saving $$)

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