Director, Forward-Deployed AI Transformation

About this role

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Job: We’re looking for a fast-paced leader who can set direction, build accountable delivery practices, and drive a blended tech & business team to redesign how work gets done across SCAN.  

As Director, Forward-Deployed AI Transformation, you will own the operating model that connects business strategy, workflow redesign, engineering execution, adoption, and measurable business impact. You will provide clear direction to teams, remove blockers, establish delivery discipline, and remain accountable for value realization after launch.  

This role leads both technical and transformation talent. You will guide forward-deployed AI engineers in building practical, scalable solutions while ensuring transformation managers translate those capabilities into adopted workflows, new operating routines, capability-building plans, and sustained behavior change.  

The Director is accountable for maintaining a strong feedback loop between business deployments and SCAN’s core technology platforms. Insights from pilots, production use, adoption barriers, operational defects, user feedback, and business-impact KPIs must be translated into platform priorities, product improvements, governance decisions, and future roadmap recommendations.

You’ll partner closely with executive sponsors, department leaders, product and platform owners, tech & security, and operational teams to turn ambiguity into durable, measurable transformation.

Essential Job Functions: Strategic Direction, Team Leadership & Portfolio Accountability  • Lead, coach, and develop a multidisciplinary team of forward-deployed AI engineers and transformation managers responsible for technology-enabled business transformation.  • Set clear portfolio direction, priorities, delivery standards, decision rights, and operating rhythms for high-impact AI, automation, analytics, and digital transformation initiatives.  • Translate enterprise and department priorities into an actionable roadmap with measurable outcomes, resourcing plans, dependencies, risks, and executive-level tradeoff recommendations.  • Model urgency, ownership, and disciplined execution in a fast-paced environment while ensuring teams remain aligned to business value, responsible AI practices, and sustainable adoption. 

Platform Feedback Loop & Technical-Business Integration  • Own the feedback loop between deployed solutions, end-user experience, operational performance, and SCAN’s core technology platforms.  • Partner with product, engineering, architecture, data, security, and platform leaders to convert field learnings into platform improvements, reusable capabilities, roadmap inputs, and governance decisions.  • Ensure forward-deployed AI engineers build solutions that are practical for the business, technically sound, supportable, compliant, measurable, and aligned to enterprise platform strategy.  • Create escalation pathways and operating routines that surface delivery risks, adoption barriers, technical debt, model or automation issues, and platform constraints quickly. 

Business Transformation, Adoption & Operating Model Change  • Direct transformation managers in redesigning workflows, roles, handoffs, controls, decision rights, training plans, and operating routines needed to adopt AI-enabled and technology-enabled capabilities.  • Ensure each initiative includes practical adoption strategies, stakeholder engagement, workforce readiness, leader enablement, communications, reinforcement mechanisms, and sustainment plans.  • Partner with Learning & Development, Talent, HR, and business leaders to address role architecture, capability gaps, upskilling needs, job implications, and career path impacts.  • Build reusable transformation playbooks, templates, and standards that help departments move from pilots to durable new ways of working. 

Business-Impacted KPIs, Value Realization & Continuous Improvement  • Define and own a measurement framework for transformation initiatives, including business-impacted KPIs such as cycle time, quality, cost, productivity, member or provider experience, risk reduction, adoption, employee experience, and value realization.  • Hold teams accountable for post-launch monitoring, business outcome tracking, adoption health, operational performance, issue resolution, and continuous improvement.  • Use quantitative data, qualitative feedback, and frontline observations to identify what is working, what is not, and what must be improved in workflows, tools, platforms, training, or operating models.  • Provide executive-ready reporting on progress, risks, value delivered, adoption barriers, and roadmap recommendations. 

Governance, Risk & Executive Stakeholder Management  • Partner with compliance, privacy, legal, security, governance, and operational leaders to

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