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Ai Change Management Jobs in Indiana (NOW HIRING)

BorgWarner

Site IT Manager

Kokomo, IN

$86K - $105K/yr

Lead local adoption of enterprise AI, digital platforms, tools, and processes * Support change management by guiding site stakeholders through new technologies and ways of working * Execute site ...

BorgWarner, Inc.

Site IT Manager

Kokomo, IN · On-site

$86K - $105K/yr

Lead local adoption of enterprise AI, digital platforms, tools, and processes * Support change management by guiding site stakeholders through new technologies and ways of working * Execute site ...

Bridgeview Eye Partners

Senior IT Project Manager

Wabash, IN · On-site

$121K - $122K/yr

Support organizational change management activities including communication planning, stakeholder ... Experience leading AI related projects, automation initiatives, analytics programs, or emerging ...

Varsity Tutors

Management Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and change management. Ability to explain classical and contemporary management theories ...

Varsity Tutors

Management Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and change management. Ability to explain classical and contemporary management theories ...

Varsity Tutors

Management Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and change management. Ability to explain classical and contemporary management theories ...

Varsity Tutors

Management Tutor

Bloomington, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and change management. Ability to explain classical and contemporary management theories ...

Varsity Tutors

Management Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and change management. Ability to explain classical and contemporary management theories ...

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Ai Change Management information

What skills and qualifications are needed to thrive as an AI Change Management professional?

To thrive as an AI Change Management professional, you need a solid background in change management principles, project management, and a foundational understanding of AI technologies, often supported by degrees in business, information systems, or related certifications like PROSCI or PMP. Familiarity with AI platforms, data analytics tools, collaboration software, and change management systems is typically required. Exceptional communication, stakeholder engagement, and problem-solving skills help you navigate resistance and foster adoption across diverse teams. These competencies are crucial for ensuring smooth transitions, maximizing the value of AI initiatives, and minimizing disruption within organizations.

How to become an AI change management professional?

To become an AI change management professional, develop a strong understanding of change management principles, project management, and AI technologies. Earning certifications such as Prosci or PMP and gaining experience in managing organizational change during AI implementations are valuable. Strong communication, problem-solving skills, and familiarity with AI tools and data are also important for success in this role.

What is AI Change Management?

AI Change Management refers to the process of guiding organizations through the adoption and integration of artificial intelligence technologies. It involves preparing employees, updating business processes, and managing any challenges or resistance that arise during the transition. The goal is to ensure that AI solutions are implemented smoothly and that teams are equipped to use these new tools effectively. AI Change Management professionals use strategies like training programs, stakeholder engagement, and communication plans to support successful transformation.

What is the difference between Ai Change Management vs Data Analyst?

AspectAi Change ManagementData Analyst
Required CredentialsCertifications in change management, AI tools, and project managementDegree in data science, statistics, or related field; often certifications in data analysis tools
Work EnvironmentCross-functional teams, project-based, corporate settingsData-focused roles, offices, or remote work in analytics departments
Employer & Industry UsageTech companies, consulting firms, large enterprises implementing AI solutionsBusiness, finance, healthcare, and tech sectors analyzing data for insights

Ai Change Management focuses on overseeing AI implementation and managing organizational change, while Data Analysts interpret data to support decision-making. Both roles require analytical skills, but Ai Change Management emphasizes change strategies and project coordination, whereas Data Analysts focus on data processing and reporting.

What does an AI change management do?

An AI change management professional oversees the process of implementing artificial intelligence solutions within an organization, ensuring smooth adoption and minimal disruption. They develop strategies for change communication, training, and stakeholder engagement, often using project management tools and frameworks to facilitate successful AI integration.

How does an AI Change Management professional collaborate with cross-functional teams during an AI implementation project?

AI Change Management professionals play a vital role in bridging the gap between technical teams and business stakeholders. They work closely with data scientists, IT specialists, and department leaders to ensure smooth adoption of AI solutions, facilitating communication, addressing concerns, and aligning project goals with organizational objectives. Regular meetings, workshops, and training sessions are common, as these professionals help manage expectations, monitor progress, and drive user engagement throughout the transition. Their collaborative approach is essential for minimizing resistance and ensuring that the benefits of AI are fully realized across the organization.
What job categories do people searching Ai Change Management jobs in Indiana look for? The top searched job categories for Ai Change Management jobs in Indiana are:
What cities in Indiana are hiring for Ai Change Management jobs? Cities in Indiana with the most Ai Change Management job openings:
Ai Change Management jobs near you
Infographic showing various Ai Change Management job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Enabled Automation Architect

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

Full-time

Re-posted 26 days ago

Job description

Position Overview:
Our client is seeking an AI-Enabled Automation Architect dedicated to Site Automation Engineering to support advanced pharmaceutical manufacturing initiatives. This role focuses on the continued development, maturation, and application of reusable phase libraries, equipment module abstractions, and digital knowledge structures that enable scalable and repeatable manufacturing automation. The role operates within a GxP and GMP-regulated environment and works closely with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases.

Responsibilities:
* Further develop and mature a reusable phase library and associated equipment module abstractions
* Define and refine taxonomies, schemas, naming conventions, governance rules, and knowledge structures that support reuse
* Support multi-format master batch record ingestion and generation of structured phase analysis outputs
* Design and apply capability gate screening logic to evaluate batch records against defined capability criteria
* Align reusable libraries with physical equipment and rig capability across manufacturing contexts
* Evaluate and support MES and control system connected workflows, including DeltaV and MES recipe design flows
* Support iterative build, test, and refine delivery using real batch records and real use cases as validation inputs
* Provide planning and or implementation support for recipe design generation, rig fit incorporation, and equipment capability mapping
* Collaborate closely with Site Automation Engineering, Process Engineering, Process Translation and Execution teams, IT, Quality, and site leadership

Required Qualifications:
* AI-enabled analysis, decision support, or knowledge system experience in regulated technical environments
* Experience bridging process knowledge and digital execution systems without heavy reliance on custom application development
* Experience with technology transfer, manufacturing automation, recipe design, control strategies, or batch execution workflows
* Hands-on understanding of MES, DeltaV, or related automation platforms and digital manufacturing architectures
* Strong capability in data modeling, information architecture, or digital knowledge representation
* Experience designing modular and reusable technical frameworks
* Ability to work iteratively using real process examples, user feedback, and rapid learning cycles
* Strong cross-functional engagement skills across automation, process engineering, operations, quality, and execution teams
* Pharmaceutical or life sciences manufacturing experience, preferably in biologics, advanced therapies, or greenfield facilities
* Small molecule experience preferred and multi-modality experience beneficial

Preferred Qualifications
* Change management, training, and governance experience supporting operational adoption
* Familiarity with data integrity principles, including ALCOA plus
* Experience with electronic validation management systems such as Kneat or ValGenesis