Head of AI Transformation & Enablement

About this role

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare.

Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!

LifeStance Health Values • Belonging: We cultivate a space where everyone can show up as their authentic self.

• Empathy: We seek out diverse perspectives and listen to learn without judgment.

• Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it.

• One Team: We realize our full potential when we work together towards our shared purpose.

Benefits As a full-time employee of LifeStance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program.

ROLE OVERVIEW

LifeStance Health is building the enterprise capabilities to adopt artificial intelligence (AI) responsibly and at scale. We are seeking a Head of AI Transformation & Enablement to serve as the orchestrator of this transformation – translating strategy into execution while shaping the operating model, governance, and prioritization that enable AI to scale effectively across the organization.

This role sits within Strategic Enablement and operates as a strategic execution partner and system-level operator. You will work cross-functionally with teams such as Operational Excellence, Technology, and People functions to drive an integrated AI roadmap – ensuring initiatives are aligned, sequenced correctly, and delivering measurable value. You will also partner with executive leadership to shape LifeStance’s enterprise AI operating model, governance, and prioritization approach, translating strategic direction into scalable, cross-functional execution.

This is not a research or experimentation role alone. It is an enterprise execution role focused on translating ambition into real-world impact through disciplined program leadership, governance, and cross-functional alignment.

The ideal candidate thrives in ambiguity, understands both opportunity and risk, and can move seamlessly between strategic framing, operating-model design, and hands-on program leadership, all while bringing a system-design lens. You will act as a trusted thought partner to senior leaders, while being relentlessly focused on outcomes, adoption, and enterprise readiness. You will both design key elements of how we operate and directly drive execution of critical initiatives. Success requires the ability to move fluidly between strategy and detail – setting direction, making trade-offs, and personally advancing the work where needed. This role also plays a critical part in translating AI opportunities in clear business cases, ensuring investments are grounded in measurable value and aligned with enterprise priorities.

Consistent with LifeStance’s values, every member of the LifeStance team is expected to support the mission, including participating in projects and initiatives beyond those explicitly outlined in this role.

KEY RESPONSIBILITIES

Enterprise AI Strategy & Enablement • 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.

AI Governance & Responsible Adoption • Design, implement, and evolve AI governance frameworks, including intake, prioritization, risk assessment, clinical safety considerations, compliance, data use, and ongoing monitoring of deployed solutions. • Establish clear decision rights (e.g., RAPID), standards, and guardrails for AI use across the enterprise. • Serve as a central coordinator across Legal, Compliance, Privacy, Security, Clinical Leadership, and Technology to ensure responsible and compliant AI adoption.

Program Leadership & Execution • Own end-to-end execution of AI enablement initiatives – from concept through scaled deployment and lifecycle management. • Serve as the enterprise orchestrator cross-functionally with teams such as Operational Excellence and Technology, ensuring alignment, sequencing, and delivery of an integrated roadmap. • Lead cross-functional workstreams with clarity across scope, timelines, milestones, and interdependencies. • Anticipate risks, surface trade-offs early, and proactively resolve issues that threaten delivery, adoption, or trust. • Establish execution cadence, accountability mechanisms, and transparent progress reporting for executive sponsors.

Operating Model & Capability Building • Help define and operationalize the enterprise AI operating model – how ideas are surfaced, evaluated, built/bought, governed, scaled, and measured. • Stand up and maintain core structures such as the AI Council, decision forums, and executive reporting cadence. • Enable teams with the tools, processes, and guidance needed to apply AI effectively within their domains. • Partner with Technology and Insights teams to ensure AI initiatives are supported by strong data foundations, performance measurement, and scalable infrastructure.

Executive Thought Partnership & Change Leadership

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