Enterprise Data & Analytics Director

Community Hospice & Palliative Care•Jacksonville, FL

About The Position

The Director of Enterprise Data & Analytics leads Alivia Care's enterprise data, business intelligence, and decision support function. Reporting to the Chief Information Officer, the Director develops and executes the analytics roadmap, guides the enterprise data platform and analytical architecture in partnership with Information Technology, and establishes trusted, accessible information for clinical, operational, financial, and strategic decisions across the organization. Working with leaders accountable for 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 hands-on leadership role builds analytical capabilities and teams, and advances the organization from fragmented reporting to integrated dashboards, predictive analytics, and responsible AI-enabled decision support. The position requires strategic leadership and the ability to assess technical designs, interrogate data, validate analytical results, and guide data engineers, BI developers, and vendors. A bachelor's degree in a related field is required, though equivalent experience may be considered; a master's degree is preferred. The role typically requires at least five years of progressive relevant experience and at least three years leading analytics, BI, data engineering, or cross-functional data delivery teams.

Requirements

Minimum five years of progressive experience in data analytics, business intelligence, enterprise data management, decision support, or related disciplines; healthcare experience is 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.
Experience overseeing internal technical resources, external implementation partners, or platform vendors through complex analytics initiatives.
Strong working knowledge of SQL, data modeling, ETL/ELT, cloud data architectures, modern data warehouses or lakehouses, and enterprise BI platforms.
Ability to assess architecture and technical designs, independently interrogate data, validate analytical results, and provide direction to data engineers, BI developers, and vendors.
Working knowledge of EMPI technologies, patient identity matching and reconciliation, master data management, and data normalization principles.
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.
Ability to translate analysis into recommendations by clearly stating the question, evidence, conclusion, recommended action, limitations, and confidence level.
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, including the ability to explain complex analytical and technical matters to nontechnical leaders.
Commitment to intellectual honesty, including reporting accurate results, documenting methodology, disclosing uncertainty, and correcting errors promptly.
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.

Nice To Haves

Experience with Power BI and Azure Databricks, Microsoft Fabric, or Snowflake.
Understanding of healthcare interoperability standards, including HL7 and FHIR.
Knowledge of healthcare financial and operating metrics, Medicare post-acute payment, value-based or capitated models, and CMS quality measures.
Board of Directors reporting experience.
Experience with healthcare EHR data, clinical operations, reimbursement, post-acute or home-based care, palliative care, or PACE.
Experience with predictive analytics, AI-enabled solutions, or healthcare interoperability.
Hands-on experience implementing or managing an EMPI or master data management program.
Master's degree (MHA, MBA, or analytics-related field).

Responsibilities

Lead the enterprise data and analytics strategy, multi-year roadmap, and delivery priorities in partnership with the CIO and business leaders.
Guide the architecture, implementation, and evolution of a scalable enterprise analytics platform, 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 delivery of business intelligence, 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 KPIs, targets, thresholds, and accountable business owners.
Establish and maintain common KPI definitions, calculation methods, source-of-truth standards, and reporting cadence with Finance, Clinical Services, Quality and Compliance, Growth, and Operations.
Establish and coordinate data governance practices, including stewardship, quality, lineage, documentation, access standards, issue resolution, and regulatory and privacy controls.
Implement data validation and reconciliation practices to ensure reports are accurate and traceable to source systems, particularly during EHR conversions, migrations, and platform changes.
Partner with IT, Clinical Informatics, and enterprise application teams on patient identity management and appropriate EMPI use, including patient matching, reconciliation, and identity issue resolution.
Develop executive and Board of Directors scorecards and provide variance, root-cause, trend, and scenario analysis to explain implications and support decisions.
Provide analysis and actionable recommendations on service-line and program performance, clinical quality, referral conversion, census, patient utilization, workforce productivity, financial sustainability, and growth.
Establish an analytics intake and delivery process covering prioritization, requirements, development, testing, deployment, support, and business-value measurement.
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 predictive and prescriptive analytics roadmap; support responsible AI initiatives by providing trustworthy, governed 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; and monitor progress, risks, budgets, and deliverables with the CIO.