Manager, AI Enablement

Emory Healthcare•Tucker, GA

7h•$70 - $87•Hybrid

About The Position

The Manager, AI Enablement leads AI literacy, enablement, and due diligence across Emory University and Emory Healthcare as part of the cross-enterprise Emory Digital AI team. Reporting through the Chief Artificial Intelligence Officer, the role leads full-time employees and consulting and contract resources. The Manager advances responsible AI adoption by guiding teams through due diligence for AI procurement, designing and building AI-enabled workflows on approved platforms, and educating users at all levels of AI proficiency. The work must align with enterprise priorities and governance frameworks and deliver measurable value across clinical, operational, and business domains. The role advises teams on AI opportunities, designs and operates enablement services, develops reusable standards and learning resources, and supports approved citizen-developed AI solutions. It also builds communities of practice, monitors adoption and feedback, and delivers practical AI education. The Manager leads a team, coordinates programs and vendors, conducts reviews of third-party and internally developed AI solutions, partners with governance and enterprise stakeholders, and communicates AI concepts, risks, and expectations to technical and nontechnical audiences. This is a hybrid position in Atlanta, Georgia, and requires frequent onsite presence.

Requirements

Bachelor's degree in Business Administration, Computer Science, Healthcare Administration, Information Systems, Data Science, or a related field.
Seven years of experience in hands-on technical enablement roles, including one year of hands-on experience with AI solution design, development, and implementation.
Experience leading and managing teams.
Experience working in a healthcare environment.
Experience 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.
Experience applying appropriate software development lifecycle practices, guardrails, and process design to AI-enabled workflows and solutions.
Experience applying process-improvement methodologies.
Solid understanding of artificial intelligence and data science concepts, responsible AI principles, and risks associated with designing, acquiring, implementing, and using AI technologies.
Demonstrated ability to educate users and help them incorporate AI into day-to-day work.
Ability to design, build, and troubleshoot AI-enabled workflows on low-code, no-code, and other approved platforms, and convert 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, 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.

Nice To Haves

Master's degree in Business Administration, Computer Science, Healthcare Administration, Information Systems, Data Science, or a related field.
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 effectiveness using adoption, proficiency, and workforce readiness indicators.
One or more certifications 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.
Ability to translate due diligence findings and governance requirements into practical guidance, training, checklists, and implementation resources.

Responsibilities

Advise business, clinical, and operational teams on identifying, prioritizing, and scaling AI opportunities.
Design and build AI-enabled workflows on approved platforms using established development standards.
Design and operate enterprise AI enablement services, including consultation, office hours, solution coaching, and implementation support.
Develop playbooks, templates, standards, and implementation patterns, and promote reuse of approved AI capabilities.
Oversee support for low-code and no-code citizen-developed AI solutions and work with the AI Product Strategy team to scale them under appropriate governance.
Manage end-user requests for access to in-scope AI tools.
Build AI communities of practice, champion networks, and peer-learning programs.
Monitor adoption, utilization, and user feedback to identify barriers, enhancement opportunities, and training needs.
Convert implementation and troubleshooting lessons into reusable literacy and enablement resources.
Partner with Learning and Development teams, technology vendors, and subject matter experts to develop and deliver AI learning strategies, curricula, and materials.
Create and curate content, toolkits, simulations, case studies, and job aids that promote practical, responsible AI use.
Deliver AI education to users at all levels of technical proficiency and run internal AI learning and enablement events.
Promote responsible AI principles, policies, governance requirements, and acceptable use.
Track AI developments affecting end users and enterprise platforms, and advise leaders on workforce readiness, role impacts, and capability building.
Evaluate learning effectiveness and improve curricula, materials, and delivery methods.
Manage a team of AI enablement and due diligence specialists and direct the day-to-day work of contract and consulting resources.
Set team priorities, allocate resources, monitor performance, support staff development, and coach team members.
Model and reinforce Emory Healthcare's cultural beliefs and build a team culture of belonging, engagement, and accountability.
Manage project plans, Agile or Kanban boards, and roadmaps for AI literacy, enablement, and due diligence work.
Coordinate with project and program management teams to meet IT governance, reporting, and delivery expectations.
Work with AI teams, project managers, and business stakeholders to set priorities, coordinate resources, and manage delivery.
Partner with Human Resources, Security, Enterprise Architecture, IT Governance, and other stakeholders to align enablement with enterprise requirements.
Define KPIs and measure program effectiveness using assessments, behavioral measures, proficiency benchmarks, and workforce readiness indicators.
Build reports and dashboards covering program outcomes, adoption, enablement activity, due diligence status, risk trends, remediation progress, and governance outcomes.
Lead due diligence reviews of third-party and internally developed AI solutions proposed for Emory Healthcare.
Evaluate vendor evidence, including testing results, certifications, technical documentation, and risk-mitigation plans.
Work with Security, Enterprise Architecture, Legal, Procurement, Data, and other reviewers to improve the due diligence process and keep reviews timely.
Keep due diligence questionnaires current with responsible AI and governance developments and emerging risks.
Maintain the organizational registry of AI tools in partnership with Security and coordinate analysis of potential AI-related compliance and security concerns.
Identify recurring risks and process gaps, recommend fixes to governance stakeholders, and partner with data and AI governance leaders and committees.
Manage vendor relationships and support requests; align vendor work with enterprise priorities, timelines, and performance expectations; monitor deliverables and service quality; and escalate concerns as needed.
Explain AI concepts, opportunities, risks, and governance expectations to technical and nontechnical audiences.
Prepare presentations and reports for executives, business partners, clinical and operational teams, and technical audiences.
Partner with marketing and communications teams to announce AI literacy and enablement events, news, resources, and outcomes.
Gather user feedback from AI literacy and enablement events to recognize successes and drive improvement.
Perform other related duties and responsibilities as assigned.