Senior Manager, Data & Analytics

Senior Manager, Data & Analytics

We are seeking a strategic and technically strong Senior Manager, Data & Analytics to lead the development of a connected data ecosystem that transforms complex information into actionable business insights. Based in Morris County, NJ, this role will integrate data from commercial, digital, operational, and customer-facing channels to improve decision-making and drive business performance. The ideal candidate combines advanced analytical expertise with strong business acumen and can lead both hands-on execution and long-term strategy.

Enterprise Data Strategy & Integration

• Design and manage a unified data ecosystem integrating sales, marketing, CRM, web analytics, and operational data.
• Develop scalable data models and frameworks that provide full-funnel visibility from acquisition through retention and revenue.
• Establish governance, validation, and data quality standards to ensure accuracy and consistency.

Advanced Analytics & Decision Science

• Develop scoring models, segmentation frameworks, and prioritization methodologies to identify growth opportunities.
• Conduct statistical analysis, correlation studies, predictive modeling, and causal inference to uncover performance drivers.
• Build attribution models to measure marketing and sales effectiveness.
• Translate analytical findings into actionable business recommendations and strategic decision frameworks.

Performance Optimization & Measurement

• Create measurement frameworks spanning awareness, engagement, conversion, retention, and customer lifetime value.
• Identify opportunities and friction points throughout the customer journey.
• Define, monitor, and optimize KPIs aligned with business growth objectives.

Data Quality & Architecture

• Serve as the primary authority on data integrity, quality, completeness, and usability.
• Develop methodologies for evaluating and scoring incoming datasets.
• Design and document enterprise data architecture, data flows, schemas, and business logic.
• Standardize key metrics, benchmarks, cohorts, scoring systems, and performance targets.

Experimentation & Insights

• Develop testing and experimentation frameworks to evaluate strategic initiatives.
• Design learning agendas, hypotheses, test panels, and measurement criteria.
• Perform statistical validation, significance testing, outlier detection, and impact analysis.
• Deliver scalable reporting solutions and narrative-driven insights that support decision-making and execution.

Strategic Leadership

• Partner with executive leadership on growth strategy, investment decisions, and performance optimization.
• Model business scenarios, quantify trade-offs, and support prioritization decisions.
• Continuously refine strategies through data-driven analysis and validation.