AVP, AI Strategy – Transformation

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership and enhance the enterprise AI strategy alongside the CIIO and enterprise IT leadership.

• Convert the Horizon AI Framework into a prioritized, funded, and accountable portfolio of initiatives.

• Outline the annual AI investment roadmap in alignment with H1, H2, and H3 objectives.

• Provide recommendations to the AI Executive Council, incorporating ROI models and risk assessments.

• Foster relationships with clinical, financial, and operational leaders across four business units.

• Assess and endorse new AI capabilities and emerging technologies.

• Lead the AI Transformation Hub, managing its bi-weekly cadence, initiative registry, intake discipline, and go/no-go decisions within thresholds.

• Oversee the monthly AI Executive Council's operational rhythm, which includes agendas, portfolio scorecards, escalation packages, ROI reports, and follow-through on decisions.

• Implement the 90-day gate process, making scaling, stopping, or pivoting decisions within authority limits.

• Maintain the enterprise AI initiative registry, ensuring each initiative has an owner, Horizon designation, and active gate status.

• Manage mandatory HIPAA/compliance gates for initiatives that involve PHI, clinical workflows, or patient data.

• Evaluate the effectiveness of governance and conduct After Action Report/retrospective processes.

• Propel governance and process enhancements with measured outcomes before and after implementation.

• Monitor initiative-level ROI, identify risks, and initiate corrective actions for underperforming initiatives.

• Develop and sustain the enterprise AI ROI tracking framework with validation from Finance.

• Ensure that active initiatives provide a definitive 90-day performance signal prior to H2 or scaling investments.

• Collaborate with business unit leaders to translate AI capabilities into specific domain value.

• Prioritize AI use cases that offer high ROI and low risk in partnership with clinical, operational, and financial leaders.

• Manage the AI Solutions Team's engagement model and coordinate interim ownership for at-risk initiatives.

• Review AI vendor proposals and make recommendations within authority limits.

• Enforce fixed-fee, defined-scope contracting for AI vendors and coordinate due diligence with Procurement, Legal, and IT Security.

• Stay informed about the AI vendor landscape across clinical AI, automation, documentation, revenue cycle, and population health.

• Ensure adherence to the Responsible AI framework, covering clinical safety, bias review, explainability, regulatory compliance, data minimization, and human oversight.

• Verify that clinical AI tools complete mandatory safety assessments prior to go-live.

• Identify FDA SaMD-qualifying tools and engage regulatory counsel before clinical deployment.

• Track and report AI-related compliance, safety, and reputational risks.

• Lead, develop, and hold accountable the Director of Emerging Technology.

• Promote enterprise AI fluency through training, communication, and change management.

• Recruit and nurture AI talent as the portfolio expands.

• Represent Mosaic in partnerships with vendors, industry working groups, and peer networks.

⛳️ Requirements

• Over 10 years of progressive experience in leading large-scale business transformations, including at least 5 years managing enterprise-wide, multi-entity transformation programs.

• A proven history of advancing transformation initiatives from concept to operational reality, where technology, frontline operations, and data were pivotal to outcomes.

• Experience overseeing governance and prioritization for complex initiative portfolios in regulated or compliance-heavy environments, covering intake, gating, vendor selection, and resource allocation.

• Demonstrated ability to lead cross-functional governance bodies and navigate C-suite-level conflicts without direct line authority.

• Proficient in delivering results through influence and cross-functional leadership in complex, matrixed, multi-entity organizations.

• Experience in healthcare, health plans, or other highly regulated industries is advantageous, though not mandatory.

• Genuine interest in and familiarity with the application of AI in enterprise transformation.

• Proven capability to manage large, complex vendor relationships with a focus on fixed-fee commercial discipline.

• Strong working knowledge of AI and ML technologies, including large language models, generative AI, predictive analytics, and NLP.

• Ability to assess vendor claims, evaluate technical risks, and guide decisions between building and buying solutions.

• Familiarity with healthcare AI platforms and vendors, including ambient clinical documentation, clinical decision support, care management AI, and revenue cycle automation.

• Understanding of data governance and data infrastructure needs, including data pipelines, model lifecycle management, monitoring, and drift detection.

• Awareness of FDA SaMD regulatory pathways and HIPAA requirements for AI tools in clinical and patient-facing contexts.

• Skilled in clearly communicating AI strategy, risk, and portfolio performance to executive, clinical, financial, and operational stakeholders.

• Comfortable designing and managing governance structures while enforcing governance discipline.

• Adopts a fixed-fee, defined-ROI approach to vendor engagements, build decisions, and resource allocation.

• Capable of managing 14 or more concurrent initiatives.

• Experienced in change leadership within complex, multi-entity organizations with federated authority and named business unit-level accountability.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work arrangements to promote work-life balance.

• Access to cutting-edge technology and resources.

• Engaging workplace culture that fosters innovation and collaboration.