Director, CenterWell Marketing Data Science & Analytics

Team: Marketing

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Lead the development and execution of data science and analytics initiatives that support strategic and tactical business objectives.

• Transform large volumes of structured and unstructured data into meaningful insights, analytical solutions, and business recommendations.

• Develop, maintain, and organize data sets required for analysis, reporting, forecasting, and strategic decision-making.

• Create sophisticated reports, projections, statistical models, analytical tools, and executive presentations to support business strategy.

• Develop and validate statistical forecasting models and analytical methodologies used to inform programs and business decisions.

• Interpret complex analytical findings and translate them into clear, actionable recommendations for technical teams, business partners, and executive decision-makers.

• Provide strategic input into functional priorities, goals, objectives, and long-term analytics direction.

• Lead the implementation of new or enhanced programs, analytical capabilities, and large-scale initiatives across the function.

• Manage and mentor data science and analytics professionals, providing direction, coaching, prioritization, and opportunities for professional development.

• Foster a collaborative, innovative environment that encourages analytical rigor, continuous improvement, and effective knowledge sharing.

• Partner with cross-functional stakeholders to identify business opportunities, define analytical approaches, and improve organizational performance.

• Apply data management, mining, manipulation, and advanced analytics techniques to uncover trends, opportunities, and risks.

• Support the development of technical and operational processes that strengthen analytics capabilities and business outcomes.

Requirements

• Master’s degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, or a related field, combined with at least 6 years of relevant professional experience.

• At least 5 years of leadership experience, including experience guiding individual contributors and leading complex analytical initiatives.

• Demonstrated ability to leverage large structured and unstructured data sets to generate tactical and strategic business insights.

• Strong experience developing, validating, and applying statistical forecasting models and analytical tools.

• Ability to interpret complex analytical results and communicate insights effectively to both analytical and non-analytical audiences, including executive decision-makers.

• Excellent written and verbal communication skills, with the ability to translate technical concepts into clear business recommendations.

• Strong business judgment, strategic thinking, and problem-solving capabilities.

• Flexible and collaborative leadership style, with the ability to work effectively in teams while independently driving priorities and initiatives.

• Passion for using data and analytics to improve consumer experiences and business performance.

• Experience in healthcare or managed care is preferred.

• PhD in a quantitative or related discipline is preferred.

• Experience with SAS, QlikView, SQL, PL/SQL, MATLAB, or comparable statistical and analytics technologies is preferred.

• Experience with data management, data mining, data manipulation, and advanced analytics is preferred.

Benefits

• Competitive annual base salary of $189,400–$260,500, with individual compensation determined by location, skills, experience, education, certifications, and other job-related factors.

• Eligibility for a bonus incentive plan based on company and/or individual performance.

• Remote work opportunities across multiple U.S. locations.

• Medical, dental, and vision insurance.

• 401(k) retirement savings plan.

• Paid time off, company holidays, and personal holidays.

• Paid parental and caregiver leave.

• Short-term and long-term disability coverage.

• Life insurance.

• Additional programs supporting employee wellness and whole-person well-being.

• Standard 40-hour work week with primarily normal business hours, with occasional evenings or weekends based on business needs.

• Occasional travel of up to 10% may be required for meetings, training, or business needs.

• Work-from-home arrangement with reliable internet and a dedicated, interruption-free workspace suitable for protecting confidential information.