Director, Analytics, Insights, Data Governance

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $122.4k - $204.4k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

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Assurant

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1892

💼 Consulting

📦 Logistics

💸 Finance

💰 Post-IPO Debt on 2023-02

Consulting • Logistics • Finance

Assurant is a global company specializing in providing consumer-centric support and protection services. With a presence in over 21 countries across regions like North America, Europe, Latin America, and Asia-Pacific, Assurant helps over 300 million consumers through services like technology protection, claims resolution, and financial services. The company emphasizes innovation, remote work opportunities, and global collaboration, with teams skilled in technology, claims, customer service, and finance. Assurant offers a competitive benefits package and is committed to equal employment opportunities and work-life balance.

📋 Description

• 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

• 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

• Health insurance • Retirement plans • Paid time off • Professional development