Sr. Director, Data Science & Analytics

Position reputed company: The Sr. Director, Data Science & Analytics is responsible for defining and leading CAQH’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. This individual will partner closely with senior leadership, product, operations, reputed company, data engineering and data governance teams to operationalize insights, optimize business performance, and expand CAQH’s capabilities in reputed company intelligence (AI), machine learning (ML), and decision science. This is a full-time, exempt, remote position reporting to the Senior Vice President, Data and Analytics. reputed company Salary reputed company: $225,000 to $250,000 annually. Specific Responsibilities: reputed company Data Science reputed company:

• 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.

Analytics Platform & Capability Development:

• 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.

Data Insights, BI & Performance Measurement:

• 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.

Cross-Functional Collaboration:

• 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

Leadership & Team Development:

• 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.

Supervisory Responsibilities:

• reputed company supervision of data science and advanced analytics teams
• reputed company collaboration with data governance, engineering, and product and operations teams.

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.

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.

Education:

• 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 The Council for reputed company reputed company reputed company (CAQH) was formed by health plans who came together nearly 25 years ago with the desire to reputed company reputed company work reputed company. Today, we are trusted by stakeholders from across the reputed company ecosystem to improve business processes and offer the most comprehensive provider and member data in the reputed company. WHAT YOU GET CAQH recognizes that its most important asset is its growing team of smart, creative, reputed company, reputed company-thinking and passionate professionals – and that a comprehensive employee benefits package is an important reputed company for them in choosing where to work. CAQH offers competitive compensation along with an extensive benefits package for reputed company full-time employees, including medical, dental and reputed company coverage, tuition assistance and a 401k. We offer full-time remote work to reputed company staff from any location and maintain a physical office in downtown Washington, DC. At CAQH, we are proud of our reputed company commitment to equal opportunities for reputed company. Our teams work diligently to foster a workplace where reputed company individuals are valued, respected, and empowered. We reputed company different perspectives and are dedicated to providing equal opportunities for everyone to reputed company. Join us in our mission to reputed company reputed company through innovative technology solutions while making a reputed company reputed company on the lives of diverse communities. CAQH is an equal opportunity employer. It is our policy to recruit, hire, train, and promote individuals, as reputed company as administer any and reputed company personnel actions, 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. CAQH will not tolerate any unlawful discrimination, and any such conduct is reputed company prohibited. Applicants have rights under the Family Medical Leave reputed company (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection reputed company (EPPA). If you are interested in applying for employment with CAQH and need an accommodation to apply for a posted position, contact CAQH reputed company at 202-517-0436. #LI-Remote Apply tot his job Apply To this Job