Title: Director Responsible AI

Location: Fountain Valley, CA

Department: Information Systems

Status: Full-time

Shift: Day

Pay Range*: $176,945-$243,298/annually

MemorialCare is a nonprofit integrated health system that includes four leading hospitals, award-winning medical groups – consisting of over 200 sites of care, and more than 2,000 physicians throughout Orange and Los Angeles Counties. We are committed to increasing access to patient-centric, affordable, and high-quality healthcare; your personal contributions are integral to MemorialCare's recognition as a market leader and innovator in value-based and other care models.

Across our family of medical centers, we support each one of our bright, talented employees in reaching the highest levels of professional development, contribution, collaboration, and accountability. Whatever your role and whatever expertise you bring, we are dedicated to helping you achieve your full potential in an environment of respect, innovation, and teamwork.

Position Summary:

The Director of Responsible AI is accountable for establishing, leading, and continuously evolving MemorialCare’s enterprise framework for the safe, ethical, transparent, and compliant use of artificial intelligence across the health system. This role ensures that all AI-enabled solutions—whether internally developed, externally sourced, embedded within vendor platforms, or operationalized through clinical and business workflows—are appropriately evaluated, governed, monitored, and aligned with MemorialCare’s mission, values, regulatory obligations, and risk tolerance.

Serving as MemorialCare’s central authority for AI governance, the Director defines and operationalizes standards, policies, controls, and approval pathways that enable innovation while safeguarding patient safety, clinical quality, data privacy, security, and operational integrity. This includes establishing consistent criteria for AI use cases, model risk classification, lifecycle oversight, and accountability, as well as ensuring that ethical considerations such as fairness, bias mitigation, transparency, explainability, and human oversight are embedded into AI design and deployment decisions.

The Director of Responsible AI acts as a strategic advisor and trusted partner to Information Services leadership and collaborates closely with Legal, Compliance, Privacy, Information Security, Quality, Clinical, Operational, and Enterprise Risk stakeholders. Through these partnerships, the role aligns AI initiatives with regulatory requirements, accreditation standards, and internal governance processes, while proactively identifying, assessing, and mitigating emerging risks associated with AI technologies. The Director also plays a key role in guiding leadership decision-making on AI investments, vendor selection, and enterprise readiness.

In addition, the role is responsible for establishing sustainable operating models for responsible AI, including governance forums, escalation mechanisms, documentation standards, monitoring and audit practices, and education and awareness programs. By promoting a culture of accountability and responsible innovation, the Director enables MemorialCare to leverage AI capabilities in a manner that enhances patient outcomes, supports caregivers and staff, improves operational efficiency, and maintains public trust.

ESSENTIAL FUNCTIONS:

1. Demonstrates professionalism and confidence to be able to regularly interact with senior leadership and executives on strategy, planning and operational execution.
2. Functions as an advocate and serves as a positive role model for encouraging others to embrace innovative changes and transformation associated with IS projects.
3. Manages multiple vendor relationships, support and deliverables working to negotiate terms to best meet MemorialCare’s requirements.
4. Further define, implement, and maintain MemorialCare’s enterprise AI governance and Responsible AI framework.
5. Establish AI intake, review, and approval processes for new AI use cases and AI-enabled vendor solutions.
6. Chair or support AI governance committees and provide clear recommendations on AI approval, restriction, escalation, or rejection.
7. Assess AI initiatives for risk, including data use, privacy, security, bias, transparency, clinical safety, and operational readiness.
8. Ensure human-in-the-loop controls, escalation pathways, and post-deployment monitoring are defined and enforced.
9. Partner with Legal, Compliance, Risk Management, Cybersecurity, Privacy, and Quality teams to ensure regulatory and policy alignment.
10. Oversee vendor AI due diligence, including evaluation of model behavior, data handling, contractual safeguards, and ongoing performance monitoring.
11. Develop and deliver AI literacy and responsible-use guidance for leaders and staff.
12. Serve as an executive advisor on AI risk posture, governance maturity, and emerging regulatory or technology trends.
13. Build and lead a multidisciplinary team supporting AI governance, risk assessment, and monitoring activities.
14. Leads and prioritizes the deployment of innovation and digital transformation to enable more optimized business outcomes and consumer engagement by combining technical and business capabilities, lean processes, toolchains and platforms.
15. Builds and leads a team of skilled technical professionals that assess, lead and integrate solutions to support businesses and to maintain and build on an agile digital integration and transformation architecture
16. Develops staff performance expectations, goals and metrics. Establishes career path goals for each member, performing regular scheduled evaluations and providing guidance in development of those goals.
17. Holds responsibility for all aspects of managing and leading a team including hiring, developing staff, managing performance and rewarding employees. Establishes an inclusive and innovative culture where individuals feel valued and thrive, inspiring overall team success and trust.
18. Delivers on continuous improvement of patient facing digital technologies across all areas within MemorialCare to bring in agility and consistency with a high level of return on investment while ensuring patient satisfaction and engagement with MemorialCare.

*Placement in the pay range is based on multiple factors including, but not limited to, relevant years of experience and qualifications. In addition to base pay, there may be additional compensation available for this role, including but not limited to, shift differentials, extra shift incentives, and bonus opportunities. Health and wellness is our passion at MemorialCare—that includes taking good care of employees and their dependents. We offer high quality health insurance plan options, so you can select the best choice for your family. And there’s more...Check out our MemorialCare Benefits for more information about our Benefits and Rewards.

Minimum Requirements

Qualifications/Work Experience:

•  Bachelor’s degree required; Master’s degree preferred.

Education/Licensure/Certification:

• Minimum 8 years of experience working within healthcare or similarly regulated industries, with a minimum of 5 years of experience leading advanced analytics, artificial intelligence, machine learning, or emerging technology initiatives.
• Proven knowledge of healthcare information systems, data platforms, and AI‑enabled technologies, including clinical, operational, and business intelligence solutions that leverage predictive, generative, or decision‑support models.
• Demonstrated experience evaluating, governing, and operationalizing AI solutions across their lifecycle, including use‑case intake, risk assessment, validation, deployment, monitoring, and ongoing oversight.
• Experienced in clearly communicating complex AI, data, and risk concepts to both technical and non‑technical audiences, translating technical detail into business, clinical, and operational impact through narratives, visual storytelling, and executive‑level presentations.
• Demonstrated advanced technical fluency in AI concepts (including model behavior, bias, transparency, explainability, and human‑in‑the‑loop controls) combined with strong analytical, risk‑assessment, and business judgment skills.
• Proven ability to establish a clear enterprise vision for responsible AI that supports innovation, patient safety, regulatory compliance, and strategic objectives, and to execute that vision through governance, policy, and operating models.
• Demonstrated team‑oriented leadership style favoring collaboration and cross‑functional partnership with Legal, Compliance, Privacy, Security, Quality, Clinical, and Operational stakeholders.
• Demonstrated ability to manage multiple complex, high‑risk initiatives simultaneously, with flexibility to adapt to rapidly evolving regulatory, technological, and organizational environments.
• Demonstrated planning and organizational skills, including effective problem‑solving, prioritization, and time management in a fast‑paced, high‑visibility environment.
• Proven knowledge of AI‑enabled vendor platforms and solutions, including the ability to assess vendor models, data practices, contractual safeguards, and overall risk posture.
• Proven experience managing vendor relationships and partnerships to ensure responsible AI performance, regulatory alignment, and organizational value.
• Demonstrated experience in strategic planning, multi‑year budgeting, and fiscal management related to AI governance, data platforms, and emerging technologies.
• Demonstrated proficiency in team building, performance management, conflict resolution, and leading multidisciplinary teams with diverse professional backgrounds.
• Proven verbal and written communication skills, including the ability to translate complex AI governance and risk topics into clear, actionable guidance for executives and staff.
• Demonstrated attention to detail, with the ability to validate AI‑related documentation, data sources, model artifacts, and governance records for accuracy, relevance, and timeliness.