Sr AI Adoption & Integration Specialist

T. Rowe Price • Baltimore, MD

1d • $96,500 - $205,000 • Hybrid

About The Position

The AI Adoption & Integration Lead will help Associates and managers successfully transition to AI-enabled ways of working and embed those changes into their day-to-day routines, roles, behaviors, and operating practices. As a core member of a dedicated Implementation Pod, this role will work alongside the business team, AI Process Transformation Lead, and Applied AI Solutions Lead throughout each engagement. The AI Adoption & Integration Lead will bring the perspective of the people whose work is changing, helping the team understand what it will take for the new workflow to be practical, trusted, adopted, and sustained. This role is not primarily about communications or delivering training after a solution has already been designed. The AI Adoption & Integration Lead will participate throughout the engagement so that user needs, change implications, and adoption risks can influence the emerging workflow and solution in real time. Success will be measured by whether real people successfully adopt the new way of working and whether the business can sustain it after the Implementation Pod moves on.

Requirements

• Bachelor's degree or equivalent experience in business, organizational development, communications, human resources, operations, technology, or a related discipline and 5+ years of related experience.
• Experience in change management, digital adoption, transformation, implementation, learning, organizational effectiveness, or related roles.
• Demonstrated experience helping teams adopt new technology, processes, or ways of working.
• Strong interpersonal, facilitation, communication, and stakeholder-management skills.
• Ability to translate complex changes into simple, practical guidance for business users.
• Strong organizational skills and ability to execute quickly in a fast-moving team environment.
• Working knowledge of generative AI and enthusiasm for helping others use AI effectively.

Nice To Haves

• Experience supporting technology-enabled workflow transformation.
• Experience developing and facilitating hands-on learning or adoption programs.
• Experience in financial services, asset management, or another regulated environment.
• Familiarity with change-management methodologies, applied pragmatically rather than as rigid process.

Responsibilities

• Build trusted relationships with the Associates, managers, and business leaders whose work is changing and understand how the proposed change will affect their day-to-day experience.
• Identify likely adoption barriers, skill gaps, concerns, incentives, role impacts, and practical realities that need to influence the future-state design.
• Bring the user and people perspective into Pod discussions throughout the engagement rather than waiting until launch.
• Help the team distinguish between reasonable adoption concerns and change resistance that requires active leadership reinforcement.
• Develop a focused adoption approach tailored to the specific workflow, population, and business context, including communications, hands-on learning, manager enablement, job aids, and launch support.
• Translate the emerging workflow and AI solution into practical guidance that Associates can understand and use confidently.
• Help users understand when and how to use AI effectively, where human judgment remains important, and how to respond when the solution does not behave as expected.
• Partner closely with business managers and workflow stewards so they are equipped to reinforce the new way of working.
• Ensure responsibilities, procedures, escalation paths, operating routines, and ongoing ownership are clear before the Pod completes an engagement.
• Support launch, gather rapid feedback from users, and work with Pod teammates to address adoption barriers or practical issues as they emerge.
• Establish practical adoption and usage measures and support post-launch assessment of whether the new workflow is being sustained.
• Capture reusable change and adoption practices and share recurring learning with the broader AI Learning & Community Enablement team.

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level