Chief Analytics and AI Officer

Thank you for considering a career at Bon Secours Mercy Health!

Scheduled Weekly Hours:

40

Work Shift:

Days (United States of America)

Reports to: Chief Information Officer

# of Direct Reports: 1-2

Primary Function/General Purpose of Position

This role is responsible for developing and managing data, analytics and AI strategies aligned with the enterprise’s mission and goals. This role acts as the internal product owner for data, analytics and AI innovations, working with key leaders to deploy solutions that enhance patient care, improve efficiency, and drive innovation while ensuring data governance, regulatory and ethical compliance. The executive will oversee all aspects of change, including people, processes, and technology.   

Essential Job Functions

Data and AI Strategy

• Partnerships with Executive Leadership: Build partnerships with executive leadership to establish the vision for managing data as a business asset, exploiting data, analytics, and AI capabilities to maximize the value derived from data assets.
• Data and Analytics Vision: Define data and analytics vision, strategy, and associated practices. Lead the creation (and assure the ongoing relevance) of the organization’s data and analytics strategy in collaboration with key leaders across the organization.
• Data-Driven Innovation: Lead data-driven innovation for the enterprise, including investigation, adoption, and exploitation of artificial intelligence.
• AI Strategy and Execution: Develop and oversee a comprehensive AI strategy aligned with the organization’s mission, vision, and goals. Support AI strategy execution by identifying and deploying AI innovations across the industry.
• Emerging Data Strategies: Identify and evaluate emerging data strategies and technologies, and the ability to apply them in key clinical, operations, and research goals.
• AI Development and Deployment: Lead the development and deployment of AI solutions, such as predictive analytics, diagnostic tools, and process automation. Evaluate AI technologies and partnerships, ensuring alignment with organizational needs and scalability.

Operational Excellence

• Operating Model for Data, Analytics, and AI: Institute system-wide operating model for data, analytics, and AI that is consistent with the capabilities and competencies required to execute the strategy.
• Centralized Data Management : Create and oversee a centralized data management service for sourcing and use of data to ensure quality, traceability, timeliness, usability, and cost-effectiveness.
• Data and Analytics Platform: Partner with service provider on the development, deployment and integration of data and analytics platform across the organization.
• Research and Analytics Offerings: Expand the organization’s research and analytics offerings, especially in emerging analytical approaches, skills, and technologies, focusing on accelerating innovation and transformation across the organization in partnership with service partner.

Governance and Compliance

• Trust in Data Assets: Establish and maintain trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications, and automated decision making.
• AI Governance Framework: Set up and manage AI governance framework and processes. Ensure compliance with all healthcare regulations and alignment with Ethical and Religious Directives (ERDs) in AI implementations.
• Risk Levels and Security: Collaborate with VP Info Security to advise organizational leadership on risk levels, security, and necessary changes to existing policies. Monitor and mitigate risks associated with AI, including bias, data privacy, and security.
• Performance Tracking: Track the performance and impact of AI solutions, providing regular reports to stakeholders.

Culture and Talent Development

• Foster Data Literacy: Foster the creation of a data-driven culture, related competencies, and data literacy across the enterprise.
• Influencing Skills: Exercise influencing skills across the organization to support and encourage widespread adoption and usage of a broad spectrum of data assets and tools.
• AI Talent Orchestration: Orchestrate the right AI talent from various groups within the organization. Collaborate with clinicians, IT teams, analytics, and leadership to integrate AI into care delivery and operations.
• Communication and Mentorship: Communicate the value and potential of AI to internal and external stakeholders in a clear and actionable manner. Build and manage a multidisciplinary team focused on AI in healthcare. Provide mentorship and training to staff on AI tools and best practices.

This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties as required by their supervisor, subject to reasonable accommodation.

Education

• Bachelor’s degree in Healthcare Administration, IT, Data Science, Artificial Intelligence or related field (required)
• Master’s degree in Healthcare Administration, IT, Data Science, Artificial Intelligence or related field (required)

Work Experience

• 10+ years experience in healthcare (required)
• 5+ years in evolving leadership roles involving AI or technology (required)
• Deep understanding of AI technologies, including machine learning, natural language processing, predictive analytics and ethical AI use (required)

                                                                         

Skills

• Strategic Thinking
• AI Literacy
• Execution
• Change Management
• Risk Management and Monitoring
• Governance and Compliance
• Technology Evaluation
• Data Analytics
• Machine Learning
• AI tools
• Leadership
• Stakeholder Management
• Manage Cross functional teams
• Relationship Management
• Talent Orchestration
• Innovation
• Collaboration

Bon Secours Mercy Health is an equal opportunity employer.

As a Bon Secours Mercy Health associate, you’re part of a Mission that matters. We support your well-being – personally and professionally. Our benefits are built to grow with you and meet your unique needs, every step of the way.

What we offer

• Competitive pay, incentives, referral bonuses and 403(b) with employer contributions (when eligible)
• Medical, dental, vision, prescription coverage, HSA/FSA options, life insurances, mental health resources and discounts
• Paid time off, parental and FMLA leave, shot- and long-term disability, backup care for children and elders
• Tuition assistance, professional development and continuing education support

Benefits may vary based on the market and employment status.

Department:

SS I&T - Administration

It is our policy to abide by all Federal and State laws, as well as, the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). Accordingly, all applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, age, genetic information, or protected veteran status, and will not be discriminated against on the basis of disability. If you’d like to view a copy of the affirmative action plan or policy statement for Mercy Health– Youngstown, Ohio or Bon Secours – Franklin, Virginia; Petersburg, Virginia; and Emporia, Virginia, which are Affirmative Action and Equal Opportunity Employer, please email recruitment@mercy.com. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact The Talent Acquisition Team at recruitment@mercy.com.