Director, Data Analytics & Reporting

Knipper HEALTH

3h•Remote

About The Position

The Director of Analytics and Reporting leads the company’s data strategy, guiding the use of analytics to enhance performance, client value, and competitive advantage. This role drives the development and adoption of advanced analytics and reporting platforms, translating complex data into actionable insights for executive decisions and client reporting. The Director ensures analytics is integrated into daily operations and strategic planning, oversees the expansion of DOMO as a self-service BI tool, and advances predictive analytics and AI-driven solutions for both internal processes and client outcomes. Exciting new fully remote role. Sponsorship is not being offer at this time.

Requirements

10+ years of progressive analytics experience, with at least 5 years in leadership roles. Healthcare, pharmacy, or life sciences industries strongly preferred.
Proven expertise with DOMO (or equivalent BI tools) and demonstrated success in operational analytics (labor models, forecasting, contribution margin) and client-facing reporting.
Experience with modern data platforms like Databricks, Snowflake or other comparable tech
Strong knowledge of specialty pharmacy, patient support programs, PBM models, and/or pharma manufacturer services.
Proficiency in SQL, Python, and advanced visualization platforms like PowerBI or Tableau; strong understanding of data governance.
Experience with compliance frameworks: HIPAA, DEA, URAC, ACHC, and 21 CFR Part 11.
Exceptional leadership, communication, and stakeholder management skills, with ability to influence at the executive level.
Ability to travel to company offices, clients or external meetings regularly

Nice To Haves

Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or related field; Master’s strongly preferred.
Background in predictive analytics, AI/ML applications using Frontier AI models like those from OpenAI or Anthropic, or outcomes research.
Familiarity with 3PL, PAP, DTP-cash programs, and hub-lite patient services.
Experience in private equity-backed or high-growth transformation environments.

Responsibilities

Develop and execute company’s analytics road-map, integrating DOMO and related tools capabilities into all aspects of reporting and decision support.
Translate corporate objectives into measurable data-driven goals, ensuring analytics supports client satisfaction, revenue growth, margin improvement, and operational excellence.
Champion advanced analytics, predictive modeling, and real-world evidence generation to strengthen the company’s competitive positioning
Oversee governance, and optimization of DOMO as the company’s enterprise Business Intelligence (BI) environment, driving adoption and self-service analytics across businesses.
Lead the continued development of proprietary predictive tool, enhancing its predictive capabilities for provider-connected work-flows, real-time patient initiation, and outcomes analytics.
Partner with external vendors to ensure integration of analytic tools with Salesforce Health Cloud, Einstein Exchange, eBlu, and other enterprise platforms.
Ensure strict compliance with HIPAA, URAC, ACHC, DEA, 21 CFR Part 11, and pharma partner data requirements.
Own design, build, and deploy DOMO dashboards and Key Predictive Indices (KPIs) for real-time operational performance
Use predictive models to improve labor forecasting, call volume management, contribution margin performance, and adherence outcomes.
Create data-driven models that guide staffing, automation, and process optimization decisions.
Leverage analytical tools to deliver client-ready reporting packages that exceed industry standards for quality, timeliness, and compliance.
Partner with businesses to present analytics that highlight the company’s differentiated value, supporting renewals, upsells, and new program wins.
Develop benchmarking and therapy-area insights to further position the company as a strategic partner to manufacturers.
Ensure all analytics processes are fully documented, with clearly defined data sources, to enable repeatable, audit-able, and consistent client reporting at scale.
Build and manage a high-performing analytics team including data engineers, BI developers, and data scientists with expertise in DOMO and predictive analytics.
Mentor and develop team members, establishing clear career paths and succession planning.
Foster a culture of accountability, innovation, and cross-functional collaboration.