Manager, AI Enablement
- Atlanta, GA, United States
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Original job description
Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
- Comprehensive health benefits that start day 1
- Student Loan Repayment Assistance & Reimbursement Programs
- Family-focused benefits
- Wellness incentives
- Ongoing mentorship, development, and leadership programs
- And more
This is a hybrid position located in Atlanta, GA
Description
The Manager, AI Enablement leads AI literacy, enablement, and due diligence across Emory University and Emory Healthcare. Part of the cross-enterprise Emory Digital AI team, the role reports through the Chief Artificial Intelligence Officer and leads a team of full-time employees and consulting and contract resources. The Manager advances responsible AI adoption in three ways: guiding teams through due diligence when procuring AI solutions, designing and building AI-enabled workflows on approved platforms, and leading education for users at every level of AI proficiency. The Manager ensures this work aligns with enterprise priorities and governance frameworks and delivers measurable value across clinical, operational, and business domains.
Experience with hands-on AI prompt development, running communities, doing enablement, and communicating technical concepts to all levels in a simple manner will be prioritized.
Please note, this is a hybrid role in nature that will require frequent onsite presence.
RESPONSIBILITIES:
Hands-On AI Enablement:
- Advises business, clinical, and operational teams on identifying, prioritizing, and scaling AI opportunities.
- Designs and builds AI-enabled workflows on approved platforms using established development standards.
- Designs and runs enterprise AI enablement services, including consultation, office hours, solution coaching, and implementation support.
- Develops playbooks, templates, standards, and implementation patterns, and promotes reuse of approved AI capabilities to reduce duplication.
- Oversees team support for low-code and no-code citizen-developed AI solutions, and works with the AI Product Strategy team to scale them under appropriate governance.
- Manages end-user requests for access to in-scope AI tools.
- Builds AI communities of practice, champion networks, and peer-learning programs.
- Monitors adoption, utilization, and user feedback to find barriers, enhancement opportunities, and training needs.
- Turns lessons from implementation and troubleshooting into reusable literacy and enablement resources.
AI Literacy and Education:
- Partners with L&D teams, technology vendors, and subject matter experts to build and deliver AI learning strategies, curricula, and materials.
- Creates and curates content, toolkits, simulations, case studies, and job aids that promote practical, responsible AI use.
- Delivers AI education to users at all levels of technical proficiency.
- Plans and runs internal AI learning and enablement events for Emory Digital.
- Promotes responsible AI principles, policies, governance requirements, and acceptable use.
- Tracks AI developments that affect end users and enterprise platforms, and advises leaders on workforce readiness, role impacts, and capability building.
- Evaluates learning effectiveness and improves curricula, materials, and delivery methods.
Leadership and People Management:
- Manages a team of AI enablement and due diligence specialists and directs the day-to-day work of contract and consulting resources supporting the team.
- Sets team priorities, allocates resources, monitors performance, and supports staff development in line with organizational objectives.
- Coaches team members in leadership, stakeholder engagement, customer service, curriculum development, learning delivery, change management, AI enablement, and responsible AI.
- Models and reinforces Emory Healthcare's cultural beliefs: One Emory, Own It, People Centered, and Lead Change.
- Builds a team culture of belonging, engagement, and accountability.
Program Planning, Governance, and Performance Measurement:
- Manages project plans, Agile or Kanban boards, and roadmaps for AI literacy, enablement, and due diligence work.
- Coordinates with Emory Healthcare project and program management teams to meet IT governance, reporting, and delivery expectations.
- Works with AI teams, project managers, and business stakeholders to set priorities, coordinate resources, and manage delivery.
- Partners with Human Resources, Security, Enterprise Architecture, IT Governance, and other stakeholders to align AI enablement with enterprise requirements.
- Defines KPIs with learning and development, user experience research, and vendors, and measures program effectiveness using assessments, behavioral measures, proficiency benchmarks, and workforce readiness indicators.
- Builds reports and dashboards on program outcomes, adoption trends, and enablement activity, and on due diligence status, risk trends, remediation progress, and governance outcomes.
AI Due Diligence and Responsible AI:
- Leads AI due diligence reviews of third-party and internally developed solutions proposed for use at Emory Healthcare.
- Evaluates vendor evidence, including testing results, certifications, technical documentation, and risk-mitigation plans.
- Works with Security, Enterprise Architecture, Legal, Procurement, Data, and other reviewers to improve the process and keep reviews timely.
- Keeps due diligence questionnaires current with responsible AI and AI governance developments and emerging risks.
- Maintains the organizational registry of AI tools in partnership with Security.
- Coordinates analysis of potential AI-related compliance and security concerns.
- Identifies recurring risks and process gaps and recommends fixes to governance stakeholders.
- Partners with data and AI governance leaders and committees.
Vendor and Consulting Resource Management:
- Manages vendor relationships and coordinates requests for vendor support.
- Keeps vendor work aligned with enterprise priorities, timelines, and performance expectations, and coordinates it with internal stakeholders.
- Monitors vendor deliverables, service quality, and open issues, and escalates concerns as needed.
Communication and Stakeholder Engagement
- Explains AI concepts, opportunities, risks, and governance expectations to technical and nontechnical audiences.
- Prepares presentations and reports for executives, business partners, clinical and operational teams, and technical audiences.
- Partners with marketing and communications teams to announce AI literacy and enablement events, news, resources, and outcomes.
- Gathers user feedback from AI literacy and enablement events to recognize successes and drive improvement. Performs other related duties and responsibilities as assigned.
MINIMUM REQUIRED QUALIFICATIONS:
- Education: Bachelor's degree in Business Administration, Computer Science, Healthcare Administration, Information Systems, Data Science, or a related field.
- Experience:
- Seven years of experience in hands-on technical enablement roles, with one year of hands-on experience with AI solution design, development, and implementation.
- Experience in:
- Leading and managing teams
- Working in a healthcare environment.
- Developing low-code or no-code AI-enabled workflows and solutions using platforms such as Microsoft Copilot, ServiceNow Agent Studio, Salesforce Agentforce, or similar technologies.
- Applying appropriate software development lifecycle practices, guardrails, and process design to AI-enabled workflows and solutions.
- Applying process-improvement methodologies.
KNOWLEDGE, SKILLS, AND ABILITIES (REQUIRED):
- Solid understanding of artificial intelligence and data science concepts, responsible AI principles, and the risks of designing, acquiring, implementing, and using AI technologies.
- Demonstrated ability to educate users and help them incorporate AI into their day-to-day work.
- Ability to design, build, and troubleshoot AI-enabled workflows on low-code, no-code, and other approved platforms, and to turn lessons learned into literacy and enablement materials.
- Knowledge of software development lifecycle practices, implementation guardrails, process design, and process-improvement methods such as Lean and Six Sigma.
- Strong people leadership 6. Strong analytical, organizational, and problem-solving skills.
- Ability to explain complex technical concepts clearly to executives, technical staff, clinical and operational stakeholders, and researchers.
- Strong stakeholder engagement and relationship-management skills, including collaboration across governance, information technology, security, legal, procurement, data, learning, and business functions.
- Ability to manage multiple programs, projects, priorities, and stakeholder expectations, including developing project plans, roadmaps, sprint boards, performance measures, and executive-level reporting.
- Commitment to continuous learning about artificial intelligence, responsible AI, and emerging technologies.
PREFERRED QUALIFICATIONS:
- Education: Master's degree in business administration, Computer Science, Healthcare Administration, Information Systems, Data Science, or a related field preferred. Experience:
- Experience:
- Nine years in hands-on technical enablement roles, including at least two years designing, developing, and implementing AI solutions.
- Knowledge of healthcare laws, regulations, and standards for data privacy, information security, and responsible AI, including HIPAA.
- Advanced knowledge of clinical and administrative healthcare operations.
- Knowledge of AI governance frameworks, technical due diligence processes, and AI risk-assessment methods.
- Ability to establish organization-wide AI learning, enablement, and adoption strategies and measure their effectiveness through adoption, proficiency, and workforce readiness indicators.
- Certification: One or more in Project Management, Agile, Lean Six Sigma, Design Thinking, Microsoft or Amazon Web Services AI technologies, Epic, Talent Development, Instructional Design or Training, Organizational Change Management, or related disciplines.
- Knowledge of healthcare-related laws, regulations, best practices, and standards involving data privacy, information security, and responsible AI, including HIPAA requirements.
- Advanced knowledge of clinical and administrative healthcare operations.
- Knowledge of AI governance frameworks, technical due diligence processes, and AI risk-assessment methods.
- Ability to establish organization-wide AI learning, enablement, and adoption strategies.
- Ability to translate due diligence findings and governance requirements into practical guidance, training, checklists, and implementation resources.
Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.
More about this job
Skills
- Prioritization
- Coaching
- Troubleshooting
- Leadership
- Team leadership
- Stakeholder management
- Customer service
- Curriculum development
- Change management
- Program management
- Reporting
- Research
- Documentation
- Procurement
- Regulatory compliance
- Communication skills
- Presentation skills
- Computer science
- ServiceNow
- Salesforce
- Software development
- Design process
- Process improvement
- Artificial intelligence
- Troubleshoot
- Lean manufacturing
- Problem solving
- Collaboration
- Computer technology
- Hazard assessment
- Project management
- Agile
- EPIC