Vice President, Reporting and Data Analytics
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Job Description
Vice President leading Modivcare’s personal care data, reporting, and analytics strategy. Driving governed integrations, executive reporting, workforce analytics, and operational transformation.
Responsibilities:
- Develop and execute an integrated PCS data, reporting, and analytics strategy
- Establish a multiyear roadmap covering 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
- Translate business strategies, operational workflows, and requirements into data, reporting, integration, and technology priorities with enterprise IT
- Evaluate predictive analytics, AI, and automation opportunities
- Lead PCS data integration and reporting solutions through requirements, design, validation, deployment, and ongoing support
- Maintain inventories of 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 platforms
- Define business rules, transformation logic, calculations, hierarchies, and acceptance criteria for data pipelines, interfaces, warehouses, data marts, APIs, master-data solutions, and BI platforms
- Lead reconciliation and validation across source systems, integrated data environments, reports, financial records, and executive dashboards
- Establish controls to identify and resolve data quality issues
- Oversee executive, operational, financial, workforce, compliance, payor, market, and branch-level reporting
- Establish reporting intake, prioritization, governance, accuracy, timeliness, documentation, retention, access, testing, and change-control standards
- Consolidate duplicative reports and establish authoritative dashboards and standardized metrics
- Develop governed self-service reporting with standardized data models, training, and user support
- Maintain reporting documentation, business glossaries, metric definitions, and data lineage
- 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
- Develop forecasting, scenario planning, and business cases for budgets, resource allocation, cost optimization, and profitable growth
- Establish and lead the PCS data governance operating model
- Define and monitor data quality standards and coordinate 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 on risks, audit readiness, and corrective actions
- Advise PCS leadership through 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 implementations, integrations, conversions, acquisitions, and migrations
- Lead and develop teams responsible for data integration, analytics, BI, reporting, governance, data quality, and performance improvement
- Manage budgets, vendors, service levels, backlogs, delivery commitments, dependencies, and business cases
- Build analytical, technical, and leadership talent and strengthen data literacy and succession planning
- Establish disciplined delivery standards, testing requirements, release schedules, and accountability for reporting accuracy and continuous improvement
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 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
- Leadership experience in personal care services, home health, home and community-based services, managed care, or similarly complex healthcare delivery operations preferred
- Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements preferred
- Experience with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI use cases preferred
- Advanced degree or relevant continuous improvement certification preferred; experience directly managing data engineering teams is a plus
- 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
Benefits:
- Bonus eligible based on individual and company performance
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
- Reasonable accommodations for qualified individuals with disabilities
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