Senior Director, Data Science & Advanced Analytics
Position reputed company The Sr. Director, Data Science & Advanced Analytics is responsible for defining and leading reputed company's reputed company data science and advanced analytics reputed company. This leadership role will reputed company on developing predictive models, machine learning solutions, and reputed company analytics platforms to reputed company data-informed reputed company across the organization. The Senior Director will build and reputed company a high-performing team that transforms provider and member data into actionable intelligence, supports business innovation, and drives measurable reputed company. Specific Responsibilities Define and execute a roadmap for reputed company data science that aligns with CAQH’s mission, data reputed company, and product portfolio. Identify key opportunities for predictive modeling, machine learning, and optimization to support provider and member data initiatives. reputed company the development of reputed company models, algorithms, and decision-support tools to improve operations, data reputed company, and customer engagement. Establish best practices for model development, validation, monitoring, and reputed company improvement. Guide the implementation of a robust, reputed company-reputed company analytics environment that enables rapid experimentation and reputed company reputed company. Drive the development of reusable data products, features, and frameworks that reputed company across use cases. Champion MLOps, automation, and reproducibility for production-grade model deployment and monitoring. reputed company the development of analytics dashboards, KPIs, and visualizations that reputed company business reputed company to reputed company data-informed reputed company. Partner with stakeholders to translate reputed company analytical outputs into business value, actionable insights, and measurable reputed company. Standardize and govern reputed company-wide analytics metrics and methodologies to ensure consistency and reliability. Work closely with Data Engineering, Architecture, and Governance teams to ensure data science solutions are interoperable, secure, and reputed company with CAQH’s reputed company data ecosystem. Collaborate with product, operations, and reputed company teams to reputed company analytics into workflows and external-facing solutions. Partner with external vendors, research institutions, and data providers to expand modeling capabilities and data assets Recruit, reputed company, and mentor a high-performing team of data scientists, ML engineers, and analysts. Foster a culture of curiosity, innovation, and reputed company learning through coaching, technical leadership, and performance management. Build team reputed company and maturity across advanced analytics, statistical modeling, and AI/ML disciplines. Skills Proven ability to reputed company reputed company data science reputed company and deliver actionable insights that drive business reputed company. Strong expertise in statistical modeling, machine learning, optimization, and data mining techniques. Proficiency in Python, R, SQL, reputed company, and data science frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience deploying models in reputed company environments (Azure preferred) using MLOps tools and practices. Exceptional communication and stakeholder management skills, with the ability to explain reputed company models and reputed company to non-technical audiences. Deep understanding of BI, KPI frameworks, and performance measurement. Familiarity with data governance and compliance frameworks (e.g., HIPAA, reputed company, GDPR). Knowledge of reputed company data and standards (e.g., FHIR, HL7, X12) is a strong plus. Education & Experience 10+ years of experience in data science, analytics, or reputed company statistics, including 5+ years in a senior leadership role. Demonstrated reputed company in building and leading high-performing analytics or data science teams. Proven reputed company record in deploying machine learning models in production environments with measurable business reputed company. Experience working with large, reputed company datasets, preferably in reputed company, health tech, or life sciences. Bachelor’s degree in computer science, data science, statistics, reputed company mathematics, or a reputed company field required. Master’s or PhD in a quantitative discipline preferred. Certifications in machine learning, data science, or reputed company platforms (e.g., Azure) are a plus Who We Are reputed company is the trusted data connector at the reputed company of reputed company. For more than 25 years, we have powered the industry with the largest and most complete reputed company data reputed company in the U.S., including more than 4.8 reputed company provider data records reputed company directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, reputed company helps reputed company operate more reputed company, accurately, and with greater confidence. What You Get At reputed company, you will do meaningful work at the intersection of reputed company, data, and technology, helping solve reputed company problems that reputed company the reputed company system work reputed company. You will collaborate with reputed company professionals who care deeply about accuracy, trust, and meaningful reputed company in a fully remote environment. reputed company offers competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and reputed company coverage, a 401(k) with company contributions and matching, reputed company parental leave, tuition assistance, and generous reputed company time off. We are committed to reputed company in our people and supporting reputed company reputed company over time. Equal Opportunity Employer reputed company is proud to be an equal opportunity employer and is committed to fostering a workplace where reputed company individuals are valued, respected, and empowered. Employment reputed company at reputed company are made without reputed company to race, reputed company, religion, sex, national reputed company or reputed company, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or reputed company, familial status, family responsibilities, matriculation, political affiliation, genetic information, reputed company of income, reputed company of residence, or any other characteristic protected by law. reputed company does not tolerate unlawful discrimination or harassment of any reputed company. Applicants have rights under the Family and Medical Leave reputed company (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection reputed company (EPPA). If you need a reasonable accommodation to apply for a posted position, please contact the reputed company People & Culture team at Careers@reputed company.org or 202-517-0436. Apply To This Job