Enterprise Data and Analytics Manager

Cost Center

921 Information Systems

Scheduled Weekly Hours

40

Work Shift

Shift & Status

As an Enterprise Data and Analytics Manager at Pine Rest, you’ll be responsible for the comprehensive oversight of data management and governance, ensuring data quality, integrity, and security across the organization. This role leads the development, implementation, and ongoing refinement of analytics best practices—including self-service, data visualization, and analytics-related platform standards for Epic, Workday, and other enterprise tools. The manager champions a data-driven culture by promoting business practices that leverage analytics for strategic decision-making at all levels. They provide leadership in the development and deployment of the organization’s AI strategy, with direct ownership of custom AI models and AI-focused applications. Supervision of the reporting and analytics team is a core responsibility, fostering professional growth and ensuring high-quality deliverables. The manager also facilitates the Reporting and Analytics Steering Committee (RASC) to align initiatives with organizational goals. Collaboration with other teams is essential to guarantee that application development and implementation are consistent with analytics strategies. As a member of the IS management team, the Data and Analytics Manager contributes to the achievement of broader Information Systems objectives and organizational success.

Who Are We?

We at Pine Rest believe in the power of healing and that everyone in our community has the right to expert care for mental health and substance use disorders. We are much more than just the third largest non-profit behavioral health system in the country, our 220-acre main campus, and our network of clinical sites across Michigan. We are a tight-knit community of healers who witness the impact of our life-changing work each day.

Each day, we are closing the gaps in access to care. We are innovating through leading-edge research, testing, programs, and treatment modalities that others replicate across the country. Our services include a state-of-the-art psychiatric urgent care center and a soon-to-be-built pediatric behavioral health center, outpatient, inpatient, partial hospitalization (day programs), assessment and testing, residential, addiction treatment and specialty services such as crisis response, employee assistance programs, forensic psychiatry and psychology, and neuromodulation. On-the-job educational programs for nurses, psychologists, advanced practice providers, psychiatrists, and chaplains are equipping the next generation of care providers.

We are passionate about serving and are honored to be a part of this incredible work.

What Will you Do?

As an Enterprise Data and Analytics Manager at Pine Rest, you’ll be responsible for the comprehensive oversight of data management and governance, ensuring data quality, integrity, and security across the organization. This role leads the development, implementation, and ongoing refinement of analytics best practices—including self-service, data visualization, and analytics-related platform standards for Epic, Workday, and other enterprise tools. The manager champions a data-driven culture by promoting business practices that leverage analytics for strategic decision-making at all levels. They provide leadership in the development and deployment of the organization’s AI strategy, with direct ownership of custom AI models and AI-focused applications. Supervision of the reporting and analytics team is a core responsibility, fostering professional growth and ensuring high-quality deliverables. The manager also facilitates the Reporting and Analytics Steering Committee (RASC) to align initiatives with organizational goals. Collaboration with other teams is essential to guarantee that application development and implementation are consistent with analytics strategies. As a member of the IS management team, the Data and Analytics Manager contributes to the achievement of broader Information Systems objectives and organizational success.

Principal Duties and Responsibilities:

• Provide comprehensive oversight of organizational data management and governance, ensuring data quality, integrity, and security are maintained at all times.

• Lead the development, maintenance, and implementation of analytics best practices, including self-service tools, data visualization standards, and platform guidelines across systems such as Epic, Workday, and other enterprise solutions.

• Champion data-driven business practices by promoting the use of analytics for strategic decision-making throughout the organization.

• Oversee the organization’s AI strategy, including the deployment and management of A