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Responsible AI Program Lead (Exempt)

Mercy

  • Chesterfield, MO
  • 30+ days ago
  • Remote

    Highlights

    keyword(s): Enterprise architecture, Reference architecture, Distributed systems, Federated architecture, Microservices architecture, Cloud-native AI, Platform architecture, Solution architecture (AI/ML), Scalable AI systems, Interoperability, Enterprise AI Architect, Principal AI Architect, Chief AI Architect, AI Architecture Lead, Head of AI Architecture, Enterprise Machine Learning Architect, AI Platform Architect, AI Strategy & Architecture. Working under the direction of the Program Director - Responsible AI, this role ensures consistent execution of governance activities, supports development of program artifacts, assists with knowledge management and reporting, and coordinates engagement across clinical, operational, technical, legal, and vendor teams.
    Mercy

    Numbers & Facts

    LocationChesterfield, MO (
    Remote
    )
    IndustryHealthcare Services
    Company Size10,000 employees or more
    Year Founded1986
    Websitehttps://www.mercy.net/

    Description

    Find your calling at Mercy!

    The Responsible AI Program Lead supports the operational, analytical, and coordination needs of Mercy's Enterprise Responsible AI Program. This role helps translate Mercy's Responsible AI standards, governance expectations, and ethical principles into actionable workflows, documentation, processes, and stakeholder experiences. Working under the direction of the Program Director - Responsible AI, this role ensures consistent execution of governance activities, supports development of program artifacts, assists with knowledge management and reporting, and coordinates engagement across clinical, operational, technical, legal, and vendor teams.

    Position Details:

    Position Description: Responsible AI Program Lead

    Location: Remote

    Type: Full-Time

    • Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.

    Qualifications:

    • Education: Bachelor's degree in a relevant field (e.g., Data Science, Informatics, Healthcare Administration, Public Health, Computer Science, Information Systems, Ethics, or related discipline).

    • Experience: 2-3 years of experience in program management, technology governance, compliance, healthcare operations, analytics, or related functions.

    What we're looking for:

    1. Governance Operations & Program Support:
    • Support the development, maintenance, and operational execution of Responsible AI standards, procedures, frameworks, and review processes.
    • Coordinate Responsible AI intake workflows, including documentation gathering, risk assessments, scheduling, and stakeholder follow-through.
    • Assist in preparing governance materials such as agendas, decision logs, model documentation, review packets, and compliance reports.
    • Monitor adherence to governance processes and escalate gaps to the Program Director as needed.
    1. Knowledge Management & Documentation:
    • Support the creation, organization, and continuous maintenance of the Responsible AI Knowledge Hub, repositories, and shared assets.
    • Draft program artifacts, templates, visualizations, guidance documents, and training materials.
    • Ensure version control and consistent application of Mercy's taxonomy, metadata, and documentation requirements.
    1. Stakeholder & Cross-Functional Coordination:
    • Facilitate cross-functional communication between clinical, data science, operations, IT, compliance, legal, cybersecurity, and vendor partners.
    • Help coordinate workgroups, AI Community of Practice sessions, and CoE activities, including logistics, follow-up tasks, and documentation.
    • Manage stakeholder inquiries related to the Responsible AI process and ensure timely routing and response.
    1. Responsible Innovation & Risk Support:
    • Assist with initial risk screening of AI solutions using Mercy's AI risk categorization tools, CHAI-aligned frameworks, and industry best practices.
    • Help identify key ethical, operational, data quality, workflow, and change-management considerations for each use case.
    • Support the Program Director in evaluating vendors and emerging AI tools for responsible technology alignment.
    1. Reporting & Metrics:
    • Prepare drafts of dashboards, summaries, insights, and reporting for Mercy leadership, the Mercy Council on AI, and the Data Governance Council.
    • Assist in tracking program KPIs, compliance progress, and adoption trends across domains.
    • Help maintain audit-ready documentation for internal and external assurance requirements.
    1. Strategic & Operational Project Support:
    • Support AI readiness projects, maturity assessments, workflow documentation, and implementation planning.
    • Assist with research on regulatory developments, national frameworks, and industry best practices.
    • Help operationalize Mercy's responsibilities within emerging national or local AI assurance collaborations.

    Find us at:

    Facebook | LinkedIn | Instagram | mercy.net | Mercy Careers

    EEO/AA/Minorities/Females/Disabled/Veterans

    Why Mercy?

    From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

    Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.

    keyword(s): Enterprise architecture, Reference architecture, Distributed systems, Federated architecture, Microservices architecture, Cloud-native AI, Platform architecture, Solution architecture (AI/ML), Scalable AI systems, Interoperability, Enterprise AI Architect, Principal AI Architect, Chief AI Architect, AI Architecture Lead, Head of AI Architecture, Enterprise Machine Learning Architect, AI Platform Architect, AI Strategy & Architecture

    About Company

    Our Mercy health system was founded by the Sisters of Mercy in 1986. But our heritage goes back more than 185 years. It began with an Irish woman named Catherine McAuley, who wanted to help the poor women and children of Dublin. Though Catherine had a modest upbringing, she received an unexpected inheritance that allowed her to fulfill her dreams. In 1827, she opened the first House of Mercy in Dublin, intending to teach skills to poor women and educate children. Many volunteers came to help. A few years later, Catherine founded the Sisters of Mercy, the first religious order not bound to the rules of the cloister, whose Sisters were free to walk among the poor and visit them in their homes. By the time Catherine died in 1841, there were convents in Ireland and England, and in 1843, the Sisters of Mercy came to the United States. In 1871, they traveled to St. Louis and from there throughout the Midwest, beginning what would, today be known as Mercy.

    Mercy, named one of the top five large U.S. health systems in 2018, 2017 and 2016 by IBM Watson Health, serves millions annually. Mercy includes more than 40 acute care and specialty (heart, children’s, orthopedic and rehab) hospitals, 800 physician practices and outpatient facilities, 44,000 co-workers and 2,100 Mercy Clinic physicians in Arkansas, Kansas, Missouri and Oklahoma. Mercy also has clinics, outpatient services and outreach ministries in Arkansas, Louisiana, Mississippi and Texas. In addition, Mercy's IT division, Mercy Technology Services, supply chain organization, ROi, and Mercy Virtual commercially serve providers and patients in more than 20 states coast to coast.

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