Head of AI Transformation – Enablement

LifeStance Health

Head of AI Transformation & Enablement developing enterprise AI strategy for LifeStance Health. Driving execution and shaping governance to enable AI initiatives across the organization.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesLead💰 $155,000 - $195,000 per yearWebsite

About the role

Key responsibilities & impact

Translate LifeStance’s enterprise strategy into a clear, pragmatic AI enablement roadmap, identifying priority use cases, sequencing, dependencies, and value hypotheses.
Define how the organization prioritizes AI investments, including establishing criteria, developing business cases, and conducting cost-benefit analyses to inform investment decisions.
Partner with clinical, operations, technology, OE (operational excellence), compliance, and functional leaders to identify where AI can drive material improvements in access, experience, quality, productivity, and scalability.
Frame AI initiatives in business terms – clarifying the 'why,' expected impact, risks, and success metrics for executive decision-making.
Design, implement, and evolve AI governance frameworks, including intake, prioritization, risk assessment, clinical safety considerations, compliance, data use, and ongoing monitoring of deployed solutions.
Own end-to-end execution of AI enablement initiatives – from concept through scaled deployment and lifecycle management.
Help define and operationalize the enterprise AI operating model – how ideas are surfaced, evaluated, built/bought, governed, scaled, and measured.

Requirements

What you’ll need

Bachelor’s degree required; advanced degree preferred (MBA, MS, or similar)
7+ years of experience in strategy, program leadership, consulting, transformation, or technology-enabled operating roles, with significant time spent leading enterprise-scale initiatives
Demonstrated experience leading complex, cross-functional programs in regulated or highly complex environments (healthcare strongly preferred)
Strong familiarity with AI concepts, use cases, and risks (e.g., generative AI, automation, clinical decision support, operational AI), even if not a hands-on technical builder
Experience designing or operating governance models (AI, data, technology risk, compliance, or similar) and decision frameworks
Proven ability to translate ambiguity into structure, priorities, and action
Data-fluent with experience defining success metrics and using performance data to guide decisions
Demonstrated experience developing business cases and conducting cost-benefit or ROI analyses to inform strategic investment decisions
Exceptional influence and communication skills, with experience engaging senior executives without formal authority
Calm, disciplined, and solutions-oriented under pressure
Deep curiosity, strong judgment, and a bias toward responsible innovation
Qualified candidates must be legally authorized to be employed in the United States.

Benefits

Comp & perks

medical
dental
vision
AD&D
short and long-term disability
life insurance
401k retirement savings with employer match
paid parental leave
paid time off
holiday pay
Employee Assistance Program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI ConceptsBusiness Case DevelopmentPerformance Data AnalysisRisk AssessmentOperational Excellence

Soft Skills

Exceptional CommunicationInfluence Without AuthoritySolutions-OrientedCalm Under PressureStrong Judgment

Certifications

Bachelor's DegreeAdvanced Degree Preferred (MBA, MS)