Outcomes and Evaluations Manager II​/III

Position Overview

The Outcomes and Evaluation Management (OEM) Division analyzes and validates data using a results‑based accountability framework to support decision‑making. Reported directly to the IT Manager, the OEM Manager leads data analytics activities, develops policies, conducts evaluations, and prepares complex technical reports for senior leadership and oversight entities.

• Provide expert guidance on data needs, administration of data capture systems, and support for data reporting functions.
• Lead results‑based accountability efforts, including the development, monitoring, and continuous quality improvement of performance outcomes.
• Analyze and interpret statistical data to identify relationships, trends, and insights that drive program and operational improvements.
• Oversee data preparation for processing, ensuring accuracy, completeness, and proper weighting of raw data.
• Ensure compliance with federal, state, and local regulations governing behavioral health data reporting, including HIPAA and CMS requirements.
• Coordinate audit‑related data collection, prepare required reports, and implement best practices to maintain compliance and reduce audit risks.
• Present statistical and non‑statistical data using charts, graphs, and reports for department leadership, advisory boards, and the general public.
• Prepare reports, plans, and policies related to data reporting, performance measurement, and regulatory compliance.
• Ensure the integrity and security of department data through effective governance practices and compliance with privacy laws.
• Interpret and provide guidance on current and proposed policies, laws, and regulations affecting data use and reporting.
• Assist department managers in planning, implementing, and managing behavioral health treatment and supportive services, including committee participation as requested.
• Represent the department in meetings, provide data insights, and make presentations to management, stakeholders, and external agencies.
• Provide leadership to administrative and data analytics staff, mentoring team members and ensuring alignment with departmental goals.
• Develop training programs to enhance staff knowledge on compliance requirements, data reporting, and performance analytics.

• Advanced proficiency in statistical analysis, data modeling, and performance outcomes development using industry‑standard tools.
• Deep understanding of regulatory frameworks, ensuring data integrity, compliance, and alignment with organizational policies.

• Strategic leadership and decision‑making – Expertise in guiding teams, setting strategic objectives, and ensuring data‑driven decision making in compliance with local, state, and federal policies.
• Advanced data analytics and performance measurement – Expertise in statistical analysis, data modeling, and performance outcomes development using industry‑standard tools.
• Project and program management – Skilled in managing large‑scale projects, optimizing workflows, and driving continuous quality improvement in a results‑driven environment.
• Data‑driven decision‑making – Ability to interpret complex datasets, develop meaningful insights, and apply analytics to optimize program effectiveness.
• Business intelligence and reporting – Experience with visualization tools (Tableau, Power BI) and database management (SQL, Python, R) to generate actionable insights.
• Cross‑functional team management – Demonstrated ability to lead, mentor, and collaborate with multidisciplinary teams, including clinical, IT, and administrative staff.
• Stakeholder engagement and communication – Proven ability to engage with internal and external stakeholders, present findings effectively, and drive collaborative initiatives.
• Training and development – Adept at developing training programs, fostering professional growth, and maintaining a culture of continuous learning.
• Technology integration – Expertise in leveraging modern technologies, automation, and predictive analytics to enhance operational efficiency.
• Change management – Strong ability to implement process improvements, manage change, and ensure seamless adoption of new data‑driven…