A complete application in a minute
Tailored resume and cover letter, ready to send.
ModivCare Solutions is seeking a senior leader to develop and execute an integrated PCS data, reporting, and analytics strategy aligned with growth, service delivery, financial performance, workforce capacity, and compliance priorities.
You will define KPIs, dashboards, data mappings, and governance, lead data integration initiatives across operations, finance, HR, and IT, and explore AI-enabled analytics to improve caregiver capacity and market performance.
Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
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 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 for market performance, service utilization, caregiver capacity, referral conversion, revenue realization, and financial outcomes.
Translate business strategies, operational workflows, and requirements into actionable data, reporting, integration, and technology priorities in partnership with enterprise IT.
Evaluate predictive analytics, AI, and automation opportunities based on data readiness, business value, implementation feasibility, and appropriate governance.
Lead the 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 associated with 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 while monitoring adoption and retiring 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 complet