Director, Revenue Cycle Analytics

Kaiser Permanente • Pleasanton, CA

72d

About The Position

The Director of Revenue Cycle Analytics leads the strategic development and operational oversight of platforms that enable enterprise-wide reporting, advanced analytics, and data services across the national revenue cycle. This role is accountable for the stewardship of production data warehouses and business-critical applications that support revenue cycle operations, with a strong focus on modernizing infrastructure through consolidation and migration to Databricks. Key responsibilities include ensuring timely and accurate vendor data delivery, reconciliation, and integration to support performance optimization and decision-making. The Director collaborates closely with KPIT and stakeholders within the Revenue Cycle Analytics team to align data strategy with business objectives, drive innovation, and ensure scalable, secure, and high-performing analytics solutions. This leadership position requires a forward-thinking approach to data architecture, a deep understanding of revenue cycle processes, and the ability to translate complex data ecosystems into actionable insights that enhance operational efficiency and financial outcomes.

Requirements

• Minimum three (3) years supervisory experience.
• Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Minimum ten (10) years progressive corporate, non-profit, or consulting experience.
• Minimum five (5) years in data analytics or directly related field.
• Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Nice To Haves

• Knowledge of negotiation.
• Business planning skills.
• Strong written communication skills.
• Experience with data extraction and data mining.
• Familiarity with data visualization tools.
• Proficiency in statistical programming languages.
• Experience with relational database management.
• Vendor management skills.
• Delegation and project management skills.

Responsibilities

• Demonstrates continuous learning and maintains a highly skilled and engaged workforce by aligning resource plans with business objectives.
• Oversees the operation of multiple units and/or departments by identifying customer and operational needs.
• Analyzes resources, costs, and forecasts and incorporates them into business plans.
• Gains cross-functional support for business plans and priorities.
• Translates business strategy into actionable business requirements.
• Obtains and distributes resources; sets standards and measures progress.
• Removes obstacles that impact performance; guides performance and develops contingency plans accordingly.
• Ensures products and/or services meet customer requirements and expectations while aligning with organizational strategies.
• Oversees data and information collection on targeted variables in an established systematic fashion.
• Establishes data collection, refresh, and update standards; approves data collection sources.
• Directs the development and/or delivery of tools for electronic data collection; ensures users are trained and supported.
• Audits documentation.
• Directs data preparation for analytic efforts by establishing data quality and accuracy standards.
• Approves system improvements to enhance overall quality of data.
• Champions the resolution of critical issues as appropriate; reviews complex or high-profile data sets.
• Oversees the execution of creative data analytic approaches leading to actionable outcomes across one or more functional areas.
• Reviews and approves strategic data design and analysis; establishes data analysis strategy that aligns with and advances organizational needs.
• Oversees the development, implementation, and automation of business and reporting strategies.
• Partners with key stakeholders to ensure their design, planning, and implementation needs are being met.
• Ensures compliance with standards and guidelines for data reports, visualizations, and/or interactive Business Intelligence (BI) reports.
• Shares insights with stakeholders on key findings.
• Oversees data analysis interpretation by establishing analysis interpretation strategy.
• Provides support to team on complex data interpretation; approves high-profile findings and their application to contextual settings.
• Reviews insights, reports, and presentations to ensure a compelling story to stakeholders to enable and influence decision making.
• Directs and influences strategic data-informed decision making by overseeing team(s) of professionals in the consultation of clients to identify and clarify key business needs.

What This Job Offers

• Industry: Ambulatory Health Care Services
• Education Level: Bachelor's degree