Sr. Director, Enterprise Data, Analytics, AI & Automation

Major Responsibilities

• Enterprise Data/AI Strategy and Portfolio Management
• Enterprise Data Platform Architecture, Data Operations, and Governance
• Advanced Analytics, AI & Intelligent Decision Support
• Intelligent Automation, Enterprise AI Enablement and Adoption
• Organizational Leadership & Operational Excellence

Priorities and Value Realization

The successful candidate will define and execute the enterprise strategy for data, analytics, artificial intelligence, and automation. This includes developing a multi-year roadmap for data modernization, AI adoption, advanced analytics, and intelligent automation. Performance metrics, value realization frameworks, and responsible innovation will be established for Data & AI initiatives.

Enterprise Data Platform

• Strategy, Architecture, Development, and Operation of the Enterprise Data Platform
• Data Governance, Data Quality, Metadata Management, Master Data Management, and Information Protection Capabilities
• Reliability, Scalability, Security, Compliance, and Performance of Enterprise Data Architecture, Pipelines, Integration Patterns, and Platform Operations
• Delivery of Trusted, Accessible, and Reusable Enterprise Data Products
• Management of Enterprise Analytics Platforms and Visualization Technologies
• Enterprise Data Democratization Through Secure, Governed Self-Service Access to Trusted Data and Business Insights

Advanced Analytics and AI

• Development of Enterprise Analytics Capabilities
• Expansion of Enterprise Analytics and AI Capabilities
• Leadership of Enterprise AI Strategy and Initiatives
• Partnership with Business Leaders to Identify and Prioritize High-Value AI Use Cases
• Establishment of Responsible AI Governance, Policies, Model Lifecycle Management, and AI Risk Management Practices
• Measurement of Adoption Rate, Business Value, and Operational Impact of Analytics and AI Solutions

Intelligent Automation and AI Enablement

• Execution of Enterprise Strategy for Intelligent Automation and AI-Enabled Business Transformation
• Drive Adoption of Intelligent Automation and AI Capabilities
• Lead Enterprise Deployment, Governance, and Adoption of AI Platforms
• Co-Own Enterprise AI Workforce Strategy in Partnership with HR
• Ensure Secure, Ethical, and Compliant Deployment and Lifecycle Management of AI Technologies
• Evaluation of Emerging AI Technologies, Market Trends, and Vendor Capabilities
• Establish Shared Metrics and Governance with HR to Track AI Adoption Rates, Workforce Capability Growth, Employee Experience Impact, and Value Realization Across All AI Enablement Programs

Organizational Leadership and Operational Excellence

• Setting Strategic Direction Across Multiple Departments and Broad Functions
• Aligning Team Priorities with Enterprise Objectives to Drive Cohesive Execution
• Building, Leading, and Developing a High-Performing Organization
• Leading Relationships with Strategic Data Platform Vendors, Third-Party Data Providers, and Partners
• Establishing Operating Models, Delivery Frameworks, Engineering Standards, Product Management Disciplines, and Talent Strategies That Enable Enterprise Scale
• Fostering a Culture of Innovation, Operational Excellence, Collaboration, Continuous Learning, Data Literacy, AI Literacy, and Measurable Business Outcomes
• Managing the Data & AI Investment Portfolio, Including Budgets, Resource Planning, Sourcing Strategies, Strategic Vendor Partnerships, Vendor Performance, and Financial Stewardship
• Championing Cross-Functional Partnerships That Accelerate Enterprise Transformation and Maximize Business Value