Director, Analytics, Insights, Data Governance

Assurant

Director of Analytics at Assurant overseeing performance intelligence and data quality governance. Leading executive reporting and analytics to enhance sourcing decision-making processes.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesLead💰 $122,400 - $204,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and delivering executive reporting, dashboards, and performance analytics while ensuring data governance and quality management. Capable of driving data-driven decision-making and strategic planning through effective KPI frameworks and performance measurement methodologies.

Highest-signal resume keywords

Data GovernancePerformance ManagementBusiness IntelligenceKPI DevelopmentData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsData ScienceReportingPerformance MeasurementData StewardshipPredictive AnalyticsForecasting ModelsOperational ReportingData AnalysisCompliance Reporting

Soft Skills

LeadershipCollaborationCommunicationStrategic PlanningProblem-Solving

Industry Keywords

Sourcing PerformanceVendor LifecycleOperational EffectivenessExecutive ReportingContinuous ImprovementCross-Functional StakeholdersData Quality ImprovementRemediation FrameworksMetadata ManagementData Lifecycle Principles

About the role

Key responsibilities & impact

Develop and deliver executive reporting, dashboards, scorecards, and performance analytics that provide transparency into sourcing performance, vendor lifecycle performance, compliance, operational effectiveness, and strategic outcomes.
Define, maintain, and govern enterprise KPI and SLA frameworks, performance measures, scorecards, and measurement methodologies that support consistent performance management across sourcing functions.
Establish and enforce data governance standards, including data ownership, stewardship, definitions, quality requirements, and governance processes supporting sourcing and vendor lifecycle data.
Monitor data quality, identify data issues, establish remediation priorities, oversee data quality improvement initiatives, and validate remediation outcomes to ensure data accuracy, completeness, consistency, and reliability.
Identify performance gaps, bottlenecks, trends, risks, and improvement opportunities through analysis of sourcing, vendor lifecycle, supplier, and operational performance data.
Develop supplier performance scorecards, lifecycle monitoring frameworks, compliance reporting, and performance transparency capabilities that support proactive supplier and vendor lifecycle management.
Support development and deployment of predictive analytics, forecasting models, and AI-enabled insights that improve decision-making and operational effectiveness.

Requirements

What you’ll need

Bachelor’s degree in Analytics, Data Science, Business, Finance, Information Systems, Computer Science, Statistics, Supply Chain, or a related field
10+ years of progressive experience in analytics, business intelligence, reporting, data governance, performance management, procurement analytics, or related disciplines.
5+ years of leadership experience managing analytics, reporting, business intelligence, data governance, or performance management teams.
Experience building and executing enterprise reporting strategies, KPI frameworks, and executive-level dashboards.
Proven experience establishing and governing data quality, data governance, and data stewardship programs.
Experience developing performance measurement methodologies, scorecards, and operational reporting solutions.
Experience identifying trends, risks, opportunities, and improvement recommendations through data analysis.
Experience partnering with senior leaders to drive data-driven decision-making and strategic planning.
Demonstrated experience leading enterprise-wide analytics, reporting, or data transformation initiatives.
Experience managing cross-functional stakeholders across Procurement, Finance, Legal, Operations, Technology, and executive leadership teams.
Experience supporting continuous improvement initiatives through performance measurement and business intelligence.
Strong expertise in business intelligence, analytics, reporting, and performance management.
Deep understanding of KPI development, SLA management, and operational performance measurement.
Strong knowledge of data governance, data stewardship, metadata management, and data lifecycle principles.
Expertise in data quality management, remediation frameworks, and governance controls.
Ability to transform complex data into actionable business insights and executive-level recommendations.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Professional development