Vice President, Reporting and Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement a comprehensive strategy for PCS data, reporting, and analytics.

• Create a multi-year roadmap that encompasses data integrations, data quality, reporting modernization, business intelligence, advanced analytics, automation, and self-service capabilities.

• Define and standardize key performance indicators (KPIs), business rules, executive dashboards, and reporting methodologies.

• Convert business strategies, operational workflows, and requirements into priorities for data, reporting, integration, and technology in collaboration with enterprise IT.

• Assess opportunities for predictive analytics, artificial intelligence, and automation.

• Guide the development of PCS data integration and reporting solutions through requirements gathering, design, validation, deployment, and ongoing support.

• Maintain comprehensive inventories of source systems, data owners, interfaces, reports, dashboards, dependencies, and critical data elements.

• Direct source-to-target data mapping across various platforms, including operational, workforce, financial, clinical, billing, scheduling, EVV, referral, CRM, HR, payroll, and more.

• Establish business rules, transformation logic, calculations, hierarchies, and acceptance criteria for data pipelines, interfaces, warehouses, data marts, APIs, master data solutions, and BI platforms.

• Oversee reconciliation and validation processes across source systems, integrated data environments, reports, financial records, and executive dashboards.

• Implement controls to identify and rectify data quality issues.

• Supervise reporting at executive, operational, financial, workforce, compliance, payor, market, and branch levels.

• Set standards for reporting intake, prioritization, governance, accuracy, timeliness, documentation, retention, access, testing, and change control.

• Streamline redundant reports and create authoritative dashboards with standardized metrics.

• Design governed self-service reporting utilizing standardized data models, training, and user support.

• Maintain reporting documentation, business glossaries, metric definitions, and data lineage.

• Analyze metrics related to caregiver recruitment and retention, scheduling, labor utilization, overtime, service capacity, and market productivity.

• Evaluate 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 budgeting, resource allocation, cost optimization, and profitable growth.

• Establish and lead the data governance model for PCS.

• Define and monitor data quality standards while coordinating technical implementation with enterprise partners.

• Set up monitoring, reconciliation controls, and exception reporting for EVV, service documentation, authorizations, delivered hours, billing, payroll, financial accuracy, and state- and payor-specific requirements.

• Collaborate with Compliance, Quality, Operations, and Finance on risks, audit readiness, and corrective actions.

• Provide decision-ready analyses to PCS leadership.

• Spearhead cross-functional performance improvement initiatives that focus on workflow standardization, operating dashboards, reporting adoption, and technology enablement.

• Act as the PCS business lead for data and reporting aspects of implementations, integrations, conversions, acquisitions, and migrations.

• Lead and develop teams that focus on data integration, analytics, BI, reporting, governance, data quality, and performance improvement.

• Manage budgets, vendors, service levels, backlogs, delivery commitments, dependencies, and business cases.

• Cultivate analytical, technical, and leadership talent while enhancing data literacy and succession planning.

• Establish rigorous 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.

• A minimum of 12 years of progressive experience in data, analytics, reporting, business intelligence, data integration, data governance, healthcare operations, or related fields is preferred.

• At least 5 years of progressive leadership experience, including leading cross-functional teams or functions related to business intelligence, analytics, or operational performance.

• A minimum of 5 years leading initiatives in data, reporting, business intelligence, integration, analytics, or data-driven operational performance within complex, multi-system organizations.

• Proven success in implementing KPIs, executive dashboards, forecasting or profitability models, and technology-enabled process improvements in complex, multi-site operations.

• Experience collaborating 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 intricate healthcare delivery operations is preferred.

• Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements is preferred.

• Familiarity with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI applications is preferred.

• An advanced degree or relevant continuous improvement certification is preferred; experience managing data engineering teams directly is a plus.

• Extensive 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, performance measures for workforce and finances, and forecasting methods.

• Ability to translate complex operational, workforce, clinical, and financial data into executive recommendations, business cases, and measurable improvement initiatives.

• Comprehensive 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 transformations, manage competing priorities, influence executives, and drive the 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.