Enterprise Data & Analytics Director

Position Summary

The Director of Enterprise Data & Analytics leads Alivia Care's enterprise data, business intelligence, and decision support function. Reporting to the Chief Information Officer, this role develops and executes the analytics roadmap, guides the enterprise data platform and analytical architecture in partnership with Information Technology, and establishes trusted, accessible information to support clinical, operational, financial, and strategic decisions across the organization.

Working with leaders who own their measures and results, the Director establishes common definitions, governance, quality controls, and executive reporting across hospice, palliative and supportive care, PedsCare, PACE, Alivia Care Solutions, the Foundation, and other enterprise functions. This is a hands-on leadership role that builds analytical capabilities, develops teams, and advances the organization from fragmented reporting to integrated dashboards, predictive analytics, and responsible AI-enabled decision support.

Essential Functions

• Lead the enterprise data and analytics strategy, multi-year roadmap, and delivery priorities in partnership with the Chief Information Officer and business leaders.
• Guide the architecture, implementation, and evolution of a scalable enterprise analytics platform, including data ingestion, transformation, modeling, and analytical delivery, in partnership with IT architecture, infrastructure, integration teams, and implementation partners.
• Coordinate integration of clinical, operational, financial, workforce, and external data from multiple EHRs and enterprise systems; establish requirements for data availability, reliability, timeliness, and historical continuity.
• Lead enterprise business intelligence delivery, including dashboards, scorecards, recurring reporting, self-service analytics, and validated semantic models or certified datasets.
• Design and deploy an enterprise strategic measurement framework that translates strategic priorities and annual goals into clear KPIs, targets, thresholds, and accountable business owners.
• Establish and maintain common KPI definitions, calculation methods, source-of-truth standards, and reporting cadence in partnership with Finance, Clinical Services, Quality and Compliance, Growth, and Operations.
• Establish and coordinate enterprise data governance practices, including data stewardship, quality, lineage, documentation, access standards, issue resolution, and regulatory and privacy controls, in partnership with designated business owners, Information Security, and Compliance.
• Implement data validation and reconciliation practices to ensure reporting is accurate and traceable to source systems, particularly during EHR conversions, migrations, and platform changes.
• Partner with Information Technology, Clinical Informatics, and enterprise application teams on patient identity management and appropriate use of Enterprise Master Patient Index (EMPI) capabilities, including patient matching, reconciliation, and identity issue resolution, to support reliable data integration, reporting, and longitudinal analytics across EHRs, programs, and care settings.
• Develop executive and Board of Directors scorecards and deliver clear variance, root-cause, trend, and scenario analysis that explains implications and supports decisions.
• Provide finished analysis and actionable recommendations on service-line and program performance, clinical quality, referral conversion, census, patient utilization, workforce productivity, financial sustainability, and growth.
• Establish a consistent process for analytics intake, prioritization, requirements, development, testing, deployment, support, and measurement of business value.
• Identify, consolidate, and retire redundant, conflicting, and manually maintained reports as enterprise solutions become available.
• Build data literacy and adoption by coaching executives and managers in interpreting measures and using analytics in routine operating decisions.
• Develop a practical roadmap for predictive and prescriptive analytics; partner in responsible AI initiatives by providing trustworthy, governed analytical data and validating performance and business value.
• Build, lead, mentor, and develop the Enterprise Data & Analytics team and coordinate matrixed analytical resources across Finance, Quality and Compliance, and Human Resources.
• Manage analytics vendors and implementation partners; recommend staffing, skills, tools, and investments; monitor progress, risks, budgets, and deliverables with the CIO.

Knowledge and Critical Skills

• Strong working knowledge of SQL, data modeling, ETL/ELT, cloud data architectures, modern data warehouses or lakehouses, and enterprise BI platforms; experience with Power BI and Azure Databricks, Microsoft Fabric, or Snowflake preferred.
• Ability to assess architecture and technical designs, interrogate data independently, validate analytical results, and provide informed direction to data engineers, BI developers, and vendors.
• Working knowledge of Enterprise Master Patient Index (EMPI) technologies, patient identity matching and reconciliation, master data management (MDM), and data normalization principles required. Ability to apply enterprise identity and consistent master data for patients, providers, locations, referral sources, organizational entities, and service lines to reliable integration, longitudinal patient analytics, and consistent reporting across multiple EHRs and business systems. Understanding of healthcare interoperability standards, including HL7 and FHIR, preferred.
• Knowledge of healthcare financial and operating metrics, Medicare post-acute payment, value-based or capitated models, and CMS quality measures preferred.
• Ability to translate analysis into a recommendation by clearly stating the question, evidence, conclusion, recommended action, limitations, and level of confidence.
• Understanding of data governance, HIPAA privacy and security, responsible AI use, and controls for access to sensitive information.
• Ability to build and develop teams, prioritize competing demands, manage change, and lead through influence in a matrixed organization.
• Strong communication and executive presentation skills, with the ability to explain complex analytical and technical matters to nontechnical leaders.
• Commitment to intellectual honesty: reports accurate results, documents methodology, discloses uncertainty, and corrects errors promptly.

Experience

• Minimum five years of progressive experience in data analytics, business intelligence, enterprise data management, decision support, or related disciplines; healthcare experience strongly preferred.
• At least three years of demonstrated leadership of analytics, business intelligence, data engineering, or cross-functional data delivery teams.
• Demonstrated experience implementing or modernizing an enterprise analytics environment integrating multiple operational source systems, with accountability for reporting accuracy and business adoption.
• Experience establishing data governance, common KPI definitions, data quality controls, and analytical delivery standards across business functions.
• Experience developing and presenting analysis and actionable recommendations for senior executives; Board of Directors reporting experience preferred.
• Experience overseeing internal technical resources, external implementation partners, or platform vendors through complex analytics initiatives.
• Experience with healthcare EHR data, clinical operations, reimbursement, post-acute or home-based care, palliative care, or PACE strongly preferred.
• Experience with predictive analytics, AI-enabled solutions, or healthcare interoperability preferred; hands-on experience implementing or managing an EMPI or master data management program preferred.

License / Certification

Education

• Bachelor's degree in information systems, computer science, data science, statistics, healthcare administration, business, finance, or a related field required; equivalent experience may be considered.
• Master's degree (MHA, MBA, or analytics-related field) preferred.

Other Requirements

• N/A

The knowledge, skills and abilities listed above are typically acquired through the levels of education and experience listed.  However, any equivalent combination of education and/or experience, which provide an applicant with the listed knowledge, skills, and abilities to perform the essential duties and responsibilities of the job, is acceptable.

This description is intended to describe the general nature and level of work performed by employees assigned to this role. It is not intended to be an exhaustive list of all duties, responsibilities, qualifications, or working conditions required of employees in this position. The organization reserves the right to modify or amend the duties of the position or to require that additional tasks be performed as organizational needs change. This description does not constitute a contract of employment, and employment with the organization is at-will, meaning either the employee or the organization may terminate the relationship at any time, with or without cause or notice.