Vice President, Reporting and Data Analytics

Modivcare

3d•$202,300 - $250,000

About The Position

The Vice President, Data, Reporting & Analytics leads the development and delivery of data, reporting, and analytics capabilities for Personal Care Services (PCS). This leader oversees the integration of operational, clinical, workforce, financial, payor, and enterprise data to establish reliable, governed information that supports business performance and decision-making. Working with enterprise IT, Information Security, Finance, Operations, Compliance, and system owners, the role drives PCS data strategy, integration roadmap, reporting architecture, business intelligence, and analytics to improve operational efficiency, financial performance, and strategic decision-making. The role also leads and develops teams responsible for data integration, analytics, business intelligence, reporting, governance, data quality, and performance improvement; manages assigned budgets, vendors, service levels, and delivery commitments; and builds analytical, technical, and leadership talent.

Requirements

Bachelor’s degree in Analytics, Information Systems, Computer Science, Data Science, Business, Finance, Healthcare Administration, or a related field, or equivalent relevant professional experience.
12+ years of progressive experience in data, analytics, reporting, business intelligence, data integration, data governance, healthcare operations, or related disciplines; accountability for enterprise or business-unit reporting outcomes is preferred.
5+ years of progressive people leadership, including leading cross-functional teams or business intelligence, analytics, or operational performance functions.
5+ years leading data, reporting, business intelligence, integration, analytics, or data-driven operational performance initiatives in complex, multi-system organizations.
Demonstrated success implementing KPIs, executive dashboards, forecasting or profitability models, and technology-enabled process improvements in complex, multi-site operations.
Experience partnering with IT, data engineering, Finance, and operational stakeholders to translate business requirements into reliable data solutions and measurable outcomes.
Deep knowledge of enterprise reporting, business intelligence, data integration, source-to-target mapping, data quality, data governance, master data, and KPI design.
Strong understanding of healthcare or home-based care operations, workforce and financial performance measures, and forecasting methods.
Ability to translate complex operational, workforce, clinical, and financial data into executive recommendations, business cases, and measurable improvement initiatives.
Strong technical understanding of data transformation, lineage, dimensional modeling, semantic layers, data warehouses, APIs, interfaces, reporting platforms, privacy, and security controls.
Demonstrated ability to lead cross-functional transformation, manage competing priorities, influence executives, and drive adoption of standardized processes and analytics.

Nice To Haves

Leadership experience in personal care services, home health, home and community-based services, managed care, or similarly complex healthcare delivery operations.
Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements.
Experience with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI use cases.
Advanced degree or relevant continuous improvement certification.
Experience directly managing data engineering teams is a plus.

Responsibilities

Develop and execute an integrated PCS data, reporting, and analytics strategy aligned with growth, service delivery, financial performance, workforce capacity, and compliance priorities.
Establish a multiyear roadmap for data integrations, data quality, reporting modernization, business intelligence, advanced analytics, automation, and self-service capabilities.
Define and standardize KPIs, business rules, executive dashboards, and reporting methodologies for market performance, service utilization, caregiver capacity, referral conversion, revenue realization, and financial outcomes.
Translate business strategies, operational workflows, and requirements into data, reporting, integration, and technology priorities with enterprise IT.
Evaluate predictive analytics, AI, and automation opportunities based on data readiness, business value, feasibility, and governance.
Lead development and delivery of PCS data integration and reporting solutions, including requirements, design, validation, deployment, and ongoing support.
Maintain an inventory of PCS source systems, data owners, interfaces, reports, dashboards, dependencies, and critical data elements.
Lead source-to-target data mapping across operational, workforce, financial, clinical, billing, scheduling, EVV, referral, CRM, HR, payroll, and other PCS platforms.
Define business rules, transformation logic, calculations, hierarchies, and acceptance criteria for data pipelines, interfaces, warehouses, data marts, APIs, master-data solutions, and business intelligence platforms.
Lead reconciliation and validation across source systems, integrated data environments, operational reports, financial records, and executive dashboards.
Establish controls to identify and resolve missing, delayed, duplicated, mismatched, or incorrectly transformed data, with clear ownership and resolution timelines.
Evaluate reporting and integration impacts related to system implementations, migrations, acquisitions, market expansions, vendor changes, and operating-model changes.
Reduce reliance on fragmented spreadsheets, manual data manipulation, and duplicative reporting through scalable, governed solutions.
Oversee the PCS reporting portfolio, including executive, operational, financial, workforce, compliance, payor, market, and branch-level reporting.
Establish reporting intake, prioritization, and governance standards that balance strategic initiatives, operational needs, regulatory requirements, and delivery capacity.
Define standards for report accuracy, timeliness, usability, documentation, retention, access, testing, and change control.
Consolidate duplicative or conflicting reports and establish authoritative dashboards and standardized metrics for critical business measures.
Develop governed self-service reporting capabilities supported by standardized data models, training, and user support.
Maintain reporting documentation, business glossaries, metric definitions, and data lineage; monitor adoption and retire reports that no longer provide value.
Partner with Operations, Finance, HR, and Growth to analyze caregiver recruitment and retention, scheduling, labor utilization, overtime, service capacity, and market productivity.
Assess authorized versus delivered hours, missed visits, referrals, intake conversion, payor mix, reimbursement, revenue leakage, and contribution margins to identify performance opportunities.
Develop forecasting, scenario planning, and business cases that support budgets, resource allocation, cost optimization, and profitable growth.
Establish and lead the PCS data governance operating model, including accountable data owners and stewards, common definitions, quality standards, access, retention, validation, and change control.
Define and monitor data quality standards for completeness, accuracy, timeliness, consistency, uniqueness, and validity, coordinating technical implementation with enterprise partners.
Establish monitoring, reconciliation controls, and exception reporting for EVV, service documentation, authorizations, delivered hours, billing, payroll, financial accuracy, and state- and payor-specific requirements.
Partner with Compliance, Quality, Operations, and Finance to identify operational and financial risks, support audit readiness, and measure corrective action effectiveness.
Advise PCS leadership on market performance, operating model improvements, growth opportunities, and risks through clear, decision-ready analyses.
Lead cross-functional performance improvement initiatives involving workflow standardization, operating dashboards, reporting adoption, and technology enablement.
Serve as PCS business lead for data and reporting components of system implementations, integrations, conversions, acquisitions, and platform migrations, ensuring defined requirements, historical-data strategies, reconciliation controls, testing, and measurable acceptance criteria.
Lead and develop PCS teams responsible for data integration, analytics, business intelligence, reporting, governance, data quality, and performance improvement, establishing clear priorities and measurable outcomes.
Manage assigned budgets, vendors, service levels, reporting and integration backlogs, delivery commitments, technical dependencies, and business cases for new capabilities.
Build analytical, technical, and leadership talent while strengthening data literacy, succession planning, and collaboration across PCS markets and enterprise functions.
Establish a disciplined delivery model with transparent priorities, development standards, testing requirements, release schedules, and accountability for reporting accuracy, timeliness, usability, and continuous improvement.