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The Director of Data & Analytics provides strategic and operational leadership for enterprise data, analytics, and reporting capabilities within a healthcare organization. This role is responsible for transforming clinical, financial, and operational data into actionable insights that improve patient outcomes, reduce cost, ensure regulatory compliance, and support value-based care initiatives.

The Director partners closely with clinical, operational, finance, compliance, and IT leaders to establish data governance, analytics strategy, and advanced reporting that enables data-driven decision-making across the organization.

Key Responsibilities Strategy & Leadership

+ Define and execute the enterprise data and analytics strategy aligned with organizational goals and healthcare regulatory requirements.

+ Lead and develop high-performing teams across data engineering, analytics, reporting, and data science.

+ Serve as a strategic advisor to executive leadership on analytics-driven opportunities, risks, and performance trends.

+ Champion a culture of data literacy and evidence-based decision-making across the organization.

Data Architecture & Engineering

+ Oversee design, development, and optimization of data platforms, including data warehouses, data lakes, and cloud-based analytics solutions.

+ Ensure reliable integration of data from EHRs, claims, financial systems, population health platforms, and external data sources.

+ Establish scalable, secure, and high-availability data pipelines and architectures.

+ Responsible for the design, architecture, and support of data movement (integration, interfacing, FTP, API).

Analytics & Insights

+ Lead development of analytics solutions supporting:

+ Clinical quality and outcomes

+ Population health and care management

+ Financial performance and cost containment

+ Operational efficiency and access

+ Value-based care and risk-based contracts

+ Oversee dashboards, KPIs, predictive models, and self-service analytics tools for stakeholders.

+ Translate complex analytics into clear insights for executive and clinical audiences.

Data Governance & Compliance

+ Establish and enforce data governance frameworks, data standards, and data quality management.

+ Ensure compliance with HIPAA, HITECH, CMS, and other federal and state regulations.

+ Partner with compliance, security, and privacy teams to safeguard sensitive healthcare data.

Stakeholder & Vendor Management

+ Collaborate with clinical leadership, finance, operations, and IT to prioritize analytics initiatives.

+ Manage relationships with analytics vendors, cloud providers, and consulting partners.

+ Evaluate and implement analytics tools, BI platforms, and emerging technologies.

KNOWLEDGE/EXPERIENCE:

+ Bachelor’s degree in Data Analytics, Computer Science, Health Informatics, Statistics, or related field (Master’s degree preferred).

+ 8+ years of progressive experience in data, analytics, or BI roles, with at least 3–5 years in leadership.

+ Healthcare domain experience (provider, payer, life sciences, or digital health).

+ Strong knowledge of healthcare data sources (EHR, claims, quality measures, financial systems).

+ Experience with modern analytics platforms (e.g., Snowflake, Databricks, Azure, AWS, Google Cloud).

+ Proficiency with BI tools (e.g., Tableau, Power BI, Looker).

+ Demonstrated experience with data governance, data quality, and regulatory compliance.

Preferred Qualifications

+ Experience supporting value-based care, population health, or risk adjustment.

+ Familiarity with HL7, FHIR, ICD-10, CPT, HCC, and quality reporting standards.

+ Experience with advanced analytics, predictive modeling, or AI/ML in healthcare.

+ Strong executive communication and change-management skills.

EDUCATION:

A Bachelor's, Master's degree preferred in Data Science, Computer Science, AI, Engineering, or a related quantitative field.

LICENSE/CERTIFICATION/REGISTRY: None.

Attributes:

Key Competencies

+ Strategic thinking and execution

+ Clinical and business acumen

+ Leadership and talent development

+ Data storytelling and visualization

+ Cross-functional collaboration

+ Regulatory and compliance awareness