Director, CenterWell Marketing Data Science & Analytics

Jobgether SRL; United States; Remote; USD 189,000 - 261,000; Full time

Benefits offered by this job

Remote work across U.S.

Competitive benefits package

401(k) retirement plan

Paid time off

Job summary

Jobgether SRL in the United States is seeking a Director of CenterWell Marketing Data Science & Analytics to lead data-driven marketing strategy and performance.

You will oversee data science and analytics programs, manage large data sets, develop forecasting models, and present insights to executives.

As a people leader you’ll mentor professionals, foster collaboration across functions, and shape analytics direction to improve consumer experiences.

Qualifications

• Master’s degree in a quantitative field plus 6+ years of experience.
• 5+ years in leadership guiding teams on analytics initiatives.
• Experience turning large structured/unstructured data into insights.
• Strong ability to translate analytics to business leaders.
• Healthcare or managed care exp preferred.

Responsibilities

• Lead data science and analytics initiatives aligned with business objectives.
• Transform large data volumes into actionable insights and recommendations.
• Develop data sets for analysis, reporting, and forecasting.
• Create executive-level reports and predictive models.
• Mentor data science professionals and foster collaboration.
• Partner with stakeholders to identify opportunities and improve performance.

Skills

Leadership

Data Science

Statistical Forecasting

Executive communication

Cross-functional collaboration

Education

Master’s degree in quantitative field

PhD preferred

Tools

SAS

QlikView

SQL

PL/SQL

MATLAB

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, CenterWell Marketing Data Science & Analytics based in United States.

This senior leadership role transforms complex, high-volume data into actionable insights that shape marketing strategy and business performance.

You’ll lead data science and analytics initiatives that support strategic decisions, program development, and large-scale business priorities.

The role combines advanced statistical modeling, forecasting, data management, and business analysis with executive-level communication.

You’ll work across functions to connect diverse data sources and turn analytical findings into clear recommendations and measurable outcomes.

As a people leader, you’ll guide data science professionals while fostering collaboration, innovation, and continuous development.

The position offers significant influence over analytics strategy and the opportunity to improve consumer experiences through data-driven decision‑making.

It is ideal for an experienced analytics leader who thrives in complex environments and can bridge technical depth with business impact.

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.