Senior Manager, Data Sciences Marketing

Summary
The Senior Manager of Data Sciences, Marketing leads the development and application of advanced analytics, data science, and measurement strategies to inform marketing decision-making and drive business growth. This role partners closely with Marketing, Digital, Product, and Technology teams to translate data into actionable insights that optimize performance, improve customer understanding, and maximize ROI.

The Senior Manager provides strategic and technical leadership while remaining closely connected to execution, guiding teams in use of data, experimentation, and modeling to support marketing effectiveness, scalability and continuous improvement.

ESSENTIAL DUTIES AND RESPONSIBILITIES  include the following. Other duties may be assigned.

Predictive Modeling, Analytics & Decision Intelligence
Build and maintain predictive models that anticipate churn, renewal likelihood, membership growth, product adoption, and segment-level shifts.
Develop forecasting tools for membership revenue, retention patterns, and engagement trajectories.
Use machine learning and statistical techniques to identify early warning signals of disengagement and drivers of member attrition.
Continuously refine models based on new inputs, behavioral trends, external market conditions, and performance outcomes.
Translate complex analytical results into actionable recommendations for marketing, membership, product, and executive leadership.

Membership Insights, Segmentation & Persona Architecture
Serve as the organization’s expert on member behavior, motivations, preferences, and trends, using advanced modeling and qualitative/quantitative research.
Define, build, and continuously evolve comprehensive member personas, integrating psychographic, behavioral, demographic, and firmographic attributes.
Develop advanced segmentation frameworks that support personalized journeys, targeted marketing, and differentiated membership value propositions.
Identify patterns in member engagement across events, certifications, products, learning modules, and communications.
Create insight-driven playbooks that help marketing, product, and sales teams tailor their strategies to member needs.

Unified Data Strategy & Infrastructure
Own the enterprise-wide data strategy for membership, ensuring alignment across CRM, AMS, CDP, marketing automation, analytics, community platforms, and digital experience tools.
Establish a single source of truth for membership and engagement data, ensuring consistency across dashboards, models, and reports.
Oversee data governance, data hygiene, taxonomy, and tagging frameworks to ensure accuracy, reliability, and standardization.
Partner with IT, digital, and product leaders to ensure systems integrate properly, support automation, and scale with organizational needs.
Define requirements for data pipelines and architecture that support high-volume, multi-source data ingestion and processing.

Integrated Data Ecosystem & Third-Party Data Synthesis
Design solutions that ingest and synthesize data from multiple internal systems as well as third-party and external sources (market data, professional datasets, firmographics, behavioral feeds).
Integrate external benchmarks and industry data into membership models to contextualize performance and identify new opportunity areas.
Evaluate and manage partnerships with data vendors, ensuring access to high-quality, relevant datasets that strengthen insights and predictions.
Develop tools and frameworks that allow non-technical teams to access integrated, easy-to-understand dashboards and insight summaries.
Ensure seamless data flow between marketing systems, service platforms, LMS, events systems, finance systems, and member experience tools.

Insight Delivery, Reporting & Cross-Functional Enablement
Create dashboards, scorecards, and analytic views for marketing, membership, finance, product, events, and executive teams.
Deliver insight briefings and data narratives that help leadership understand trends, risks, opportunities, and drivers of organizational performance.
Partner with marketing teams to support segmentation-based campaigns, personalization frameworks, and targeted communication…