Vice President of Data and Analytics

Overview

Salary: $150,000-$190,000

Schedule:
Monday through Friday 8am-5pm

The Vice President of Data and Analytics provides executive leadership for the organization’s enterprise analytics and data governance strategy. This role ensures that clinical, operational, financial, and population health decisions are driven by trusted, well-governed, and actionable data, supporting high-quality care, financial sustainability, and community health outcomes.

Reporting to the Executive Vice President and Chief Financial Officer, the Vice President of Data and Analytics will partner with clinical, quality, finance, compliance, and operational leaders to establish a strong data foundation and analytics culture across Advocates

Who We Are

At Advocates, we provide comprehensive services for people facing developmental, mental health, or other life challenges.

We’re a nonprofit, mission-driven organization with a person-centered approach, empowering the individuals we support to make choices, build independence, and live full, meaningful lives. Our work is rooted in respect, compassion, and inclusion, and we envision a world where individual differences are appreciated and celebrated.

At Advocates, we value the ideas, experiences, and contributions of employees and are committed to fostering a supportive, welcoming culture where everyone can grow and thrive.

Bachelor's Degree

Enterprise Analytics Leadership

• Lead enterprise analytics strategy spanning clinical, operational, financial, quality, and population health domains.
• Lead evolution to predictive and prescriptive analytics, including artificial intelligence and machine learning capabilities, development of data products (standardized, reuseable analytics assets), and automation and embedded analytics in workflows
• Deliver executive, board, and service‑line analytics that support operational and strategic decision‑making.
• Promote adoption of analytics through intuitive dashboards and self‑service tools.

Data Governance & Stewardship

• Establish and lead an enterprise data governance framework and roadmap, including policies, standards, and decision rights.
• Establish governance and standards for the ethical and effective use of artificial intelligence and advanced analytics, including model validation, monitoring, and regulatory compliance.
• Chair or co‑chair the Data Governance Council with clinical, operational, and administrative leaders.
• Establish data stewardship roles and accountability across domains (services, finance, HR, operations).

Data Quality, Integrity & Trust

• Work with the Quality Management department on data quality management processes, including monitoring, issue resolution, and root‑cause analysis.
• Ensure data lineage, transparency, and traceability across enterprise reporting and analytics.
• Resolve data conflicts across departments by enforcing governance standards and definitions.
• Build organizational trust in data through consistency, accuracy, and clear ownership.

Application, Security & Compliance Partnership

• Partner with Compliance, Enterprise Applications, and Information Security to ensure data governance aligns with HIPAA and regulatory requirements.
• Work with IT in the definition of appropriate data access controls, usage policies, and auditing practices.
• Support regulatory reporting, audits, and accreditation requirements.

Population Health & Community Impact

• Govern and enable analytics supporting population health, health equity, and community benefit initiatives.
• Integrate clinical, claims, SDOH, and public health data responsibly and ethically.
• Support value-based care, risk-based contracts, and care management programs.

Platform & Capability Enablement

• Define and govern the enterprise data architecture and analytics ecosystem, in coordination with IT’s responsibility for infrastructure, security, and application management.
• Support interoperability and data integration strategies across clinical and business systems.

Leadership & Culture

• Lead and scale a multidisciplinary team including data engineering, business intelligence, data governance, and advanced analytics functions, with responsibility for departmental…