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Senior Manager, Data & Analytics
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Robert Half
Hanover, NJ (In Person)
Full-Time
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Job Description
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.
ResponsibilitiesEnterprise Data Strategy & IntegrationDesign 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 ScienceDevelop 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 & MeasurementCreate 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 & ArchitectureServe 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 & InsightsDevelop 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 LeadershipPartner 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.
ResponsibilitiesEnterprise Data Strategy & IntegrationDesign 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 ScienceDevelop 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 & MeasurementCreate 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 & ArchitectureServe 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 & InsightsDevelop 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 LeadershipPartner 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.