Senior Director, Data Science & Advanced Analytics at DataSpring

, , United States -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science Strategy, Statistical Modeling, Machine Learning, Python, R, SQL, Spark, MLOps, Azure, Stakeholder Management, BI, KPI Frameworks, Data Governance, Healthcare Data Standards, Team Leadership, Predictive Modeling

Industry

Data Infrastructure and Analytics

Description

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

Responsibilities

Define and lead the enterprise data science and advanced analytics strategy to drive data-informed decisions. Build and mentor a high-performing team to develop scalable ML models and analytics platforms that transform healthcare data into actionable intelligence.