AI Transformation Senior Analyst

VNS Health; New York (NY); On-site; USD 110,000 - 147,000; Full time

Benefits offered by this job

Referral bonus opportunities

30 days PTO + 9 holidays

Health insurance for you and family

Employer-matched retirement savings

Job summary

VNS Health is seeking an AI Transformation Manager to drive adoption of AI capabilities across health plans, providers, and enterprise functions in New York. This role partners with leaders to move AI opportunities from concept to readiness, governance, implementation, and adoption, addressing organizational readiness, risks, and value realization.

The position focuses on developing operating models, governance workflows, and scalable AI programs, coordinating across Legal, Compliance, HR, IT,

Qualifications

• Master's Degree in business, healthcare administration, organizational transformation, technology, management, or a related field.
• 5+ years of experience in management consulting, business transformation, digital transformation, operating-model design, program management, strategy, business operations, or a related discipline.
• Demonstrated curiosity and willingness to learn and adopt emerging AI tools to enhance productivity, problem solving, and delivery effectiveness.
• Demonstrated experience leading complex cross-functional transformation initiatives.
• Experience advising business leaders on process redesign, organizational change, operating-model improvement, or technology-enabled transformation.
• Strong structured problem-solving skills and ability to move from ambiguous business problems to actionable recommendations.
• Strong program and project management capabilities, including facilitation, dependency management, issue resolution, action tracking, and executive communication.
• Ability to influence stakeholders across business, technology, and corporate functions without direct authority.
• MBA or other relevant advanced degree is a plus.
• Experience with operating-model design, workforce transformation, process redesign, organizational change, or change management.
• Experience in healthcare or another highly regulated industry is preferred.
• Experience with AI governance, technology governance, vendor assessment, third-party risk, or enterprise risk processes is preferred.
• Experience working with enterprise workflow, governance, portfolio, or assessment platforms is preferred.

Responsibilities

• Partner with business leaders to assess how AI can improve operating performance, service delivery, workforce effectiveness, decision-making, and patient or employee experience.
• Evaluate the organizational implications of priority AI use cases, including impacts to workflows, roles, responsibilities, decision rights, processes, controls, capabilities, and organizational interfaces.
• Facilitate current-state discovery and define future-state operating models with business and functional stakeholders through structured discussions and AI-powered discovery tools.
• Help leaders distinguish between technology implementation requirements and the broader business transformation required to realize value from AI.
• Develop practical recommendations for how teams should redesign work around AI-enabled capabilities.
• Identify organizational dependencies and readiness gaps that could prevent successful implementation or value realization.
• Translate AI capabilities into actionable changes to business processes and new ways of working.
• Develop reusable frameworks, templates, assessments, and playbooks for AI-enabled operating-model adaptation.
• Support the effective operation of the enterprise AI governance process as an integrated component of AI transformation.
• Coordinate AI use‑case and vendor assessments across Information Security, Legal, Compliance, Clinical Quality, Technology, Performance Improvement, HR, and other relevant functions.
• Help initiative owners understand governance requirements and prepare the information required for effective review.
• Manage governance workflows, actions, decisions, dependencies, and follow‑up activities.
• Prepare and facilitate recurring AI governance meetings and cross‑functional review sessions.
• Ensure governance considerations are surfaced early enough to influence solution design and implementation strategy.
• Identify opportunities to improve governance processes while maintaining appropriate enterprise controls.
• Help evolve AI governance toward a scalable, risk‑based model as AI adoption increases, in collaboration Legal and Compliance.
• Serve as a key operational partner for the organization's AI assessment and governance platform.
• Help ensure AI use cases and vendors are appropriately initiated, documented, tracked, and progressed through the assessment process.
• Identify workflow friction, user‑experience challenges, reporting needs, and opportunities for automation or process simplification.
• Gather and synthesize feedback from business users and governance stakeholders.
• Translate operational needs into actionable recommendations for platform enhancements.
• Partner with platform owners to continuously improve the governance experience and supporting workflows.
• Ensure platform capabilities evolve in alignment with the enterprise AI Governance operating model.
• Coordinate with the platform vendor representatives to communicate updates to internal stakeholders.
• Provide transformation and program leadership for selected high‑priority AI initiatives.
• Partner with business sponsors, project teams, vendors, Technology, and functional stakeholders to establish scope, milestones, timelines, dependencies, risks, decisions, pilot and implementation plans.
• Facilitate cross‑functional working sessions and resolve issues that span organizational boundaries.
• Proactively identify implementation risks, readiness gaps, stakeholder concerns, and dependencies.
• Support initiatives across areas such as enterprise service delivery, clinical operations, healthcare administration, workforce transformation, and operational automation.
• Provide interim project or transformation leadership where dedicated AI delivery resources are not yet available.
• Support effective transition of initiatives to dedicated delivery teams as the enterprise AI delivery organization matures.
• Participates in special projects and performs other duties as assigned.

Skills

Executive communication

Stakeholder management

Facilitation

Project management

Education

Master's Degree

Job description

Overview

Helps drive enterprise adoption of artificial intelligence by translating AI capabilities into practical changes in how the organization operates, makes decisions, delivers services, and creates value. Reporting to the Director, AI Transformation, this role will work collaboratively across Health Plans LOB, Provider LOB, technology, HR, Finance, Compliance, Legal, Clinical Quality, Information Security, and other enterprise functions to help business leaders move AI opportunities from concept through readiness, governance, implementation, and adoption. Core focus will be helping leaders understand the organizational implications of AI, including changes to workflows, roles, capabilities, decision rights, controls, processes, and operating models. The AI Transformation Manager will serve as an internal advisor and transformation partner for priority AI initiatives, helping teams develop implementation approaches that address not only technology delivery, but also organizational readiness, adoption, risk, and value realization. Additionally, supports the enterprise AI governance operating model, including project management and coordination of AI use‑case and vendor assessments, governance workflows, and ownership of the organization's AI assessment platform. As the enterprise AI delivery model continues to mature, the position may also provide interim transformation and project leadership for selected AI initiatives.

What We Provide

• Referral bonus opportunities
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
• Employer-matched retirement saving funds
• Personal and financial wellness programs
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
• Generous tuition reimbursement for qualifying degrees
• Opportunities for professional growth and career advancement
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities

What You Will Do

• Partner with business leaders to assess how AI can improve operating performance, service delivery, workforce effectiveness, decision-making, and patient or employee experience.
• Evaluate the organizational implications of priority AI use cases, including impacts to workflows, roles, responsibilities, decision rights, processes, controls, capabilities, and organizational interfaces.
• Facilitate current-state discovery and define future-state operating models with business and functional stakeholders through structured discussions and AI-powered discovery tools.
• Help leaders distinguish between technology implementation requirements and the broader business transformation required to realize value from AI.
• Develop practical recommendations for how teams should redesign work around AI-enabled capabilities.
• Identify organizational dependencies and readiness gaps that could prevent successful implementation or value realization.
• Translate AI capabilities into actionable changes to business processes and new ways of working.
• Develop reusable frameworks, templates, assessments, and playbooks for AI-enabled operating-model adaptation.
• Support the effective operation of the enterprise AI governance process as an integrated component of AI transformation.
• Coordinate AI use‑case and vendor assessments across Information Security, Legal, Compliance, Clinical Quality, Technology, Performance Improvement, HR, and other relevant functions.
• Help initiative owners understand governance requirements and prepare the information required for effective review.
• Manage governance workflows, actions, decisions, dependencies, and follow‑up activities.
• Prepare and facilitate recurring AI governance meetings and cross‑functional review sessions.
• Ensure governance considerations are surfaced early enough to influence solution design and implementation strategy.
• Identify opportunities to improve governance processes while maintaining appropriate enterprise controls.
• Help evolve AI governance toward a scalable, risk‑based model as AI adoption increases, in collaboration Legal and Compliance.
• Serve as a key operational partner for the organization's AI assessment and governance platform.
• Help ensure AI use cases and vendors are appropriately initiated, documented, tracked, and progressed through the assessment process.
• Identify workflow friction, user‑experience challenges, reporting needs, and opportunities for automation or process simplification.
• Gather and synthesize feedback from business users and governance stakeholders.
• Translate operational needs into actionable recommendations for platform enhancements.
• Partner with platform owners to continuously improve the governance experience and supporting workflows.
• Ensure platform capabilities evolve in alignment with the enterprise AI Governance operating model.
• Coordinate with the platform vendor representatives to communicate updates to internal stakeholders.
• Provide transformation and program leadership for selected high‑priority AI initiatives.
• Partner with business sponsors, project teams, vendors, Technology, and functional stakeholders to establish scope, milestones, timelines, dependencies, risks, decisions, pilot and implementation plans.
• Facilitate cross‑functional working sessions and resolve issues that span organizational boundaries.
• Proactively identify implementation risks, readiness gaps, stakeholder concerns, and dependencies.
• Support initiatives across areas such as enterprise service delivery, clinical operations, healthcare administration, workforce transformation, and operational automation.
• Provide interim project or transformation leadership where dedicated AI delivery resources are not yet available.
• Support effective transition of initiatives to dedicated delivery teams as the enterprise AI delivery organization matures.
• Participates in special projects and performs other duties as assigned.

Qualifications

Education: Master's Degree in business, healthcare administration, organizational transformation, technology, management, or a related field. required

Work Experience: 5+ years of experience in management consulting, business transformation, digital transformation, operating-model design, program management, strategy, business operations, or a related discipline. required

Demonstrated curiosity and willingness to learn and adopt emerging AI tools to enhance productivity, problem solving, and delivery effectiveness. required

Demonstrated experience leading complex cross‑functional transformation initiatives. required

Experience advising business leaders on process redesign, organizational change, operating‑model improvement, or technology‑enabled transformation. required

Strong structured problem‑solving skills and ability to move from ambiguous business problems to actionable recommendations. required

Strong program and project management capabilities, including facilitation, dependency management, issue resolution, action tracking, and executive communication. required

Demonstrated ability to influence stakeholders across business, technology, and corporate functions without direct authority. required

Ability to translate technical or emerging capabilities into business, organizational, and operational implications. required

Strong executive communication, facilitation, presentation, and stakeholder‑management skills. required

Ability to manage multiple initiatives and priorities in a rapidly evolving environment. required

MBA or other relevant advanced degree is a plus. preferred

Experience with artificial intelligence, generative AI, intelligent automation, digital transformation, or emerging technologies. preferred

Management consulting or internal strategy/transformation experience. preferred

Experience with operating‑model design, workforce transformation, process redesign, organizational change, or change management. preferred

Experience in healthcare or another highly regulated industry. preferred

Experience with AI governance, technology governance, vendor assessment, third‑party risk, or enterprise risk processes. preferred

Experience working with enterprise workflow, governance, portfolio, or assessment platforms. preferred

Familiarity with AI‑enabled workforce and operating‑model transformation. preferred

Pay Range

USD $109,900.00 - USD $146,500.00 /Yr.

About Us

VNS Health has been committed to meeting the needs of New Yorkers for over 130 years. We're one of the largest nonprofit home- and community-based health care organizations in the country, and today, more than 11,500 team members work together to make a difference in the lives of more than 99,000 patients and members on any given day.