[Hiring] Assistant Vice President of AI Strategy & Transformation @Mosaic Health

Role Description

Mosaic Health is seeking an Assistant Vice President of AI Strategy & Transformation to own the enterprise-wide AI strategy, governance, and portfolio execution across Mosaic Health, CareMore, Vera Whole Health, and Millennium. This is a high-visibility, high-accountability role at the center of one of the most consequential transformation programs in the organization's history: an enterprise AI value creation mandate for 2026-27 and a newly established three-tier governance structure built to deliver it.

The AVP, AI Strategy & Transformation serves as the primary AI strategy executive for the enterprise, partnering directly with the CIIO and enterprise IT leadership to translate AI investment into measurable clinical, operational, and financial outcomes. This leader chairs the AI Transformation Hub, serves as the AI Executive Council's Lead by owning its agenda, materials, and decision-drive alongside the Co-Chairs, owns the Horizon Framework execution discipline, drives the 90-day gate process, holds named decision rights within the Transformation Hub's authority threshold, and is the named accountability anchor for AI portfolio performance across all four business units.

This is not a research or exploratory role, and it is not a program-management role. It functions as the operating executive for enterprise AI transformation: bringing recommendations to the AI Executive Council for input and sign-off rather than simply reporting status upward, and holding direct decision rights within defined thresholds. The AVP will be expected to move the portfolio forward with speed, discipline, and business partnership: eliminating bureaucracy, enforcing fixed-fee cost discipline, and holding the organization accountable to outcomes that justify every dollar of AI investment.

Qualifications

• 10+ years of progressive experience leading large-scale business transformation, from ideation through delivery, scale, and measured results, with at least 5 years owning transformation programs with enterprise-wide, multi-entity scope.
• Proven track record taking transformation initiatives from concept to operating reality in organizations where technology, field/frontline operations, and data were central to the outcome, not purely a technology deployment.
• Demonstrated experience owning governance and prioritization discipline for a complex initiative portfolio in a regulated or compliance-intensive environment: including intake, gating, vendor selection, and resource allocation.
• Experience leading cross-functional governance bodies: committees, working groups, or enterprise boards/councils, with the ability to drive alignment, decisions, and resolution of C-suite-level conflicts without relying on direct line authority.
• Demonstrated ability to deliver results primarily through influence and cross-functional leadership rather than positional power, operating effectively in complex, matrixed, multi-entity organizations.
• Experience in healthcare, health plan, or another highly regulated industry is a differentiator, not a requirement; genuine interest in and working familiarity with how AI applies to enterprise transformation is expected.
• Demonstrated ability to manage large, complex vendor relationships with fixed-fee commercial discipline.

Requirements

• Strong working knowledge of AI and ML technologies, including large language models, generative AI, predictive analytics, and NLP, with the ability to evaluate vendor claims, assess technical risk, and guide build vs. buy decisions.
• Familiarity with healthcare AI platforms and vendors relevant to Mosaic's portfolio (ambient clinical documentation, clinical decision support, care management AI, revenue cycle automation).
• Understanding of data governance and data infrastructure requirements that underpin reliable AI deployment: data pipelines, model lifecycle management, monitoring, and drift detection.
• Awareness of FDA SaMD regulatory pathway and HIPAA requirements as they apply to AI tools in clinical and patient-facing contexts.

Benefits

• Compensation Range: $232,506.00 to $348,758.00.
• The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.