AI Enablement Manager (Lynn)

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

• Define and maintain organizational AI standards, policies, and governance frameworks.

• Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

• Enable responsible use of generative AI across administrative and operational functions.

• Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

• Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

• Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

• Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

• Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

• Build business cases and recommendations for future AI investments.

• Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

• Monitor regulatory, ethical, and industry developments related to AI.

• Help establish and mature a scalable AI enablement and governance operating model.

• Influence adoption and consistency without direct authority.

• Perform other duties as assigned.

JOB SPECIFICATION:

•6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

• Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

• Experience with vendor management, solution selection, or hands-on implementation required.

• Demonstrated experience defining standards, policies, or enterprise enablement programs.

• Healthcare or other regulated industry experience strongly preferred.

• Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

• Ability to translate complex concepts into practical organizational guidance.

• Experience developing business cases and value narratives for technology investments.

• Executive-level communication and facilitation skills.

• Proven ability to operate independently and influence across the enterprise.

• Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 130000-160000 Yearly Salary

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