Director, Analytics, Insights and Data Governance

Assurant•Atlanta, GA

2d•$122,400 - $204,400

About The Position

The leader of the Analytics, Insights & Data Governance team is responsible for providing the performance intelligence engine for the Global Sourcing organization through enterprise reporting, analytics, performance measurement, data governance, and data quality management. This role establishes KPI and SLA frameworks, delivers executive reporting and dashboards, governs sourcing and vendor lifecycle data, and provides actionable insights that enable data-driven decision-making across sourcing leadership. The leader is accountable for ensuring data quality, performance transparency, measurement consistency, and business intelligence capabilities that support operational excellence, compliance, supplier performance, and strategic decision-making. The role partners closely with Governance, Process Excellence & Adoption, Digital Solutions & Automation, Strategic Sourcing, Sourcing Operations, Legal, Finance, and enterprise stakeholders to support performance management, operational improvement, and sourcing transformation initiatives.

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.

Nice To Haves

Master’s degree in Business Analytics, Data Science, Information Systems, Statistics, MBA, or a related field.
Certified Data Management Professional (CDMP) or equivalent certification.
Certifications in analytics, business intelligence, project management, data governance, or process improvement.
PMP, Lean Six Sigma, or Agile certifications
Advanced experience with Power BI, Tableau, Qlik, Looker, or similar enterprise reporting platforms.
Strong proficiency in SQL and data analysis techniques.
Experience working with enterprise data warehouses, cloud analytics platforms, and data lakes.
Experience with predictive analytics, forecasting models, machine learning, and AI-enabled reporting capabilities.
Knowledge of procurement, sourcing, vendor lifecycle, and supplier performance analytics.
Familiarity with data governance platforms, master data management, and data catalog solutions.
Experience working with ERP, procurement, and sourcing systems such as Coupa, Ariba, SAP, Oracle, Ivalua, or Jaggaer.
Experience building analytics, reporting, or data governance functions from the ground up.
Proven success developing enterprise KPI frameworks and executive scorecard programs.
Experience leading data-driven transformations and operational performance improvement initiatives.
Experience within Procurement, Strategic Sourcing, Supply Chain, Vendor Management, Third-Party Risk, or Shared Services organizations
Experience in regulated industries such as insurance, financial services, healthcare, technology, or telecommunications

Responsibilities

Provide enterprise performance intelligence, reporting, analytics, data governance, and data quality oversight that support sourcing leadership decision-making, operational performance management, and continuous improvement.
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.