Director, Forward-Deployed AI Transformation
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. 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.
About the role
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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Partner with compliance, privacy, legal, security, governance, and operational leaders to ensure solutions include appropriate controls, escalation paths, human oversight, and responsible AI practices.
- Establish governance routines that clarify ownership across business, engineering, transformation, product, and platform teams.
- Advise executive sponsors on investment priorities, risks, sequencing, delivery constraints, adoption readiness, and measurable business impact.
- Ensure documentation captures risks, assumptions, operational impacts, role impacts, decision rights, training needs, success metrics, and ongoing ownership.
Requirements
- Bachelor's degree: Business Administration, Organizational Development, Human Resources, Learning & Development, Healthcare Administration, Information Systems, Product Management, Engineering, or a related field.
- Ability to lead multidisciplinary teams of engineers and transformation managers while translating business strategy, operational realities, technology capabilities, and workforce change into practical transformation plans.
- Strong facilitation skills for executive alignment, frontline discovery, workflow mapping, future-state design, and cross-functional decision-making.
- Experience redesigning workflows, roles, handoffs, controls, governance routines, and adoption mechanisms for technology-enabled change.
- Working knowledge of AI, automation, analytics, enterprise systems, platform architecture, and digital tools sufficient to guide engineers and translate between technical teams, platform owners, and business stakeholders.
- Ability to partner with Learning & Development, Talent, HR, and business leaders to define skills, training, job implications, and career path impacts.
- Strong communication and storytelling skills, with ability to create executive-ready materials, manager talking points, playbooks, and adoption communications.
- Ability to define business-impacted KPIs, adoption metrics, platform feedback loops, value-realization routines, and continuous improvement mechanisms that sustain transformation after launch.
- Demonstrates urgency, sound judgment, executive presence, adaptability, and comfort making decisions in ambiguous, fast-changing environments.
Skills
- Leadership - Builds, directs, coaches, and holds multidisciplinary teams accountable in fast-paced, ambiguous environments.
- Business Insight - Connects technical capabilities, workforce change, operating models, and business-impacted KPIs to measurable enterprise value.
- Problem Solving - Structures ambiguous problems, makes tradeoffs quickly, removes blockers, and drives practical solutions through execution.
- Strategic Mindset - Sets direction across a portfolio and translates enterprise priorities into platform, delivery, adoption, and value-realization roadmaps.
- Change Leadership - Builds readiness, trust, adoption, accountability, and sustained operating model change across business and technical stakeholders.
Preferred Qualifications
- Prosci Change Management Certification, Certified Change Management Professional (CCMP), or equivalent change management credential.
- Relevant certifications in project/program management, agile delivery, product management, process improvement, Lean Six Sigma, human-centered design, or service design.
- Extensive experience (10+ years preferred) leading technology-enabled business transformation, AI or automation delivery, operating model redesign, product/program delivery, organizational effectiveness, or enterprise change initiatives.
- Demonstrated experience managing multidisciplinary teams, including engineers, product or technical contributors, transformation leaders, program managers, consultants, or matrixed delivery teams.
- Proven ability to create feedback loops between field deployments, business users, operational KPIs, engineering teams, product/platform owners, and executive decision-makers.
- Proven ability to bridge business and technical teams, translating operational needs into solution requirements, adoption plans, training needs, job implications, and measurable outcomes.
- Experience partnering with Learning & Development, Talent, HR, or People & Culture teams on role-based learning, capability development, job descriptions, skills frameworks, job architecture, or career pathing.
- Experience facilitating executive and frontline stakeholder workshops, workflow decomposition sessions, future-state design sessions, and adoption planning.
- Strong track record defining business-impacted KPIs, adoption metrics, value hypotheses, platform feedback loops, executive reporting, and continuous improvement plans for transformation initiatives.
- Healthcare, regulated industry, operations, member experience, clinical operations, or payer experience is highly valued.
Benefits
- Annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
Pay
Base Salary Range: $177,500 to $256,880 annually