Director, Analytics, Insights and Data Governance

Enterprise Reporting, Analytics & Executive Insights

• 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.

KPI, SLA & Performance Framework Management

• Define, maintain, and govern enterprise KPI and SLA frameworks, performance measures, scorecards, and measurement methodologies that support consistent performance management across sourcing functions.

Data Governance & Stewardship

• Establish and enforce data governance standards, including data ownership, stewardship, definitions, quality requirements, and governance processes supporting sourcing and vendor lifecycle data.

Data Quality & Remediation Governance

• 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.

Performance Intelligence & Improvement Insights

• Identify performance gaps, bottlenecks, trends, risks, and improvement opportunities through analysis of sourcing, vendor lifecycle, supplier, and operational performance data.

Supplier Performance & Lifecycle Monitoring

• Develop supplier performance scorecards, lifecycle monitoring frameworks, compliance reporting, and performance transparency capabilities that support proactive supplier and vendor lifecycle management.

Predictive Analytics & AI-Driven Insights

• 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.

Other Skills/Experience

• 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.