| Location | New Hyde Park, NY |
Job Description:
This position supports the development and execution of enterprise AI enablement strategies that promote AI literacy, organizational readiness for AI transformation, and effective use of AI-enabled products across Northwell. This position will be tasked with understanding how / where employees are using AI effectively, identifying areas of opportunity for increased AI utilization, & leading strategy creation & cross-functional program operations to remove barriers to AI adoption. Working collaboratively with business, operational, technical, and leadership stakeholders, the role will be integrally involved with the following major initiatives:
AI Education: Helping Northwell's large & diverse workforce build foundational AI competencies through building & scaling an enterprise AI learning function. This will include the selection / management of AI Education vendors, the curation of multiple general / tailored curriculums, & the evaluation & reporting of program success to inform strategic decision making.
AI Community Development: including origination, recruitment & ongoing management of an AI Super User Network / Community of Practice, intended to disseminate knowledge, cultivate & empower AI champions, & expand peer-driven AI collaboration
AI Enterprise platform rollouts: contributing as a customer success advisor, ensuring programs contain / leverage elements that ensure the workforce is being enabled to support responsible, effective, & maximally value accretive AI usage.
Highly Preferred Skills:
This role is expected to help build & operate enterprise scale AI Education, User Communities, Product Enablement, & other programs intended to drive AI adoption. Strong candidates will be able to demonstrate…
Broad familiarity with AI technology & market trends - including Large Language Models, AI "Agents" & autonomous reasoning systems, Natural Language Processing, Machine Learning, etc.
Strong understanding of how to translate AI knowledge into practical workforce enablement models that strengthen generalized AI competencies & incorporation of AI products/tools into their completion of day-to-day tasks.
The ability to help grow and operationalize strategic programs through close collaboration with business, operational, technical, education, and leadership stakeholders.
Top-tier project and program coordination skills, including comfort managing multiple initiatives simultaneously while maintaining focus on execution, scale, and measurable impact.
Excellent written and verbal communication skills, including the ability to "translate" complex AI capabilities, relative platform strengths/weaknesses, & learning strategies into clear recommendations for diverse stakeholder groups.
Capability to lead Enterprise-sale AI education programs - including…
Running the evaluation of - & relationship management with - AI Education vendors
Overseeing day-to-day platform operations, including license allocation/redistribution decisions, program communications to users, support channel setup, etc.
Designing tailored "learning paths" (general, role-specific, product, specific, etc.) curating AI topics, & evaluating & improving the quality of 3rd party educational materials.
Defining Education program KPIs, overseeing processes around their measurement, & driving reporting for executive audiences, Areas of focus include educational engagement & increases in basic AI competencies
Preparedness to lead the operationalization of an AI Super User Network / Community of Practice, including….
Establishing group charter[s] & defining key activities / benefits / participant requirements
Identifying, recruiting, organizing, and activating skilled AI practitioners and power users across the organization to support broader enablement, knowledge-sharing, and departmental adoption needs.
Organizing the contributions of the cross functional stakeholder sets that will be required for ongoing facilitation of these user networks
Meaningfully contribute to AI Enterprise Platform Rollouts, including..
Familiarity with enterprise productivity and workflow platforms that are increasingly incorporating AI features, with pre-existing (or the ability to develop) working knowledge of tools such as Gemini Enterprise, ServiceNow, Salesforce, Epic, or similar platforms with LLM-drive / Agentic AI capabilities
Able to assess and communicate the relative strengths, limitations, and ideal use cases of available AI tools and platforms to support solutioning, prioritization, and adoption decisions.
Ability to liaise effectively with platform, product, and operational teams to validate platform capabilities and ensure accurate, actionable guidance is disseminated to users.
Experience supporting platform adoption and customer success-style enablement, including defining priority areas for engagement, segmenting user activity to inform activation strategies, designing and/or leading, product-specific training programs such as leadership or departmental workshops, drafting advanced utilization guidance, etc.,
Job Responsibility
alliances with like-minded and culturally aligned providers in key market areas.
program expansion opportunities and interfaces with internal stakeholders to recommend growth initiatives.
infrastructure, identify resources, setup and operationalize initiatives.
small to medium sized project budgets by providing continued support in preparation and allocation of funds.
compensation, training and development, and employee engagement and relations; ensures compliance with federal, state and local laws, regulatory
requirements and Joint Commission standards.
Act. Duties not mentioned here, but considered related are not essential
functions.
Job Qualification
related experience.
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team members base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).