Robert Lau

About Robert Lau

Transforming data into enterprise value through AI-powered insight, automation, and modern analytics leadership.As an Enterprise Data & Analytics Leader, I focus on turning data into a strategic asset that drives measurable business outcomes. I lead initiatives that bring together AI-powered insight, automation, and modern data architecture to improve decision-making and accelerate innovation across the enterprise. With a Master’s in Data Analytics and more than 16 years of experience, I bring deep expertise across the Microsoft ecosystem, particularly Microsoft Fabric and Power BI, along with strong proficiency in Snowflake, Azure, AWS, dbt, and Fivetran.My work centers on building data-driven organizations that balance innovation with governance. I design scalable architectures and analytics ecosystems that deliver trusted, self-service insights and empower teams to act with confidence. By aligning data strategy, governance frameworks, and automation, I help organizations unlock the full value of their information and convert it into a lasting competitive advantage.I believe effective data leadership starts with clarity of purpose and ends with measurable results. My approach emphasizes collaboration, enablement, and continuous improvement—creating cultures that embrace innovation, accountability, and shared success. Whether advancing AI and automation capabilities, strengthening data governance, or driving enterprise modernization, my goal remains the same: to help organizations realize the full potential of their data and position analytics as a true strategic differentiator.Data Strategy & LeadershipEnterprise Data Strategy • Data Operating Models • Analytics Governance • Data Modernization • AI and Automation Strategy • Business Value RealizationAnalytics & Business IntelligencePower BI • Microsoft Fabric • Data Visualization • Self-Service Enablement • KPI and Performance Frameworks • Decision IntelligenceCloud & Data EngineeringAzure • Snowflake • AWS • dbt • Fivetran • Data Architecture • Data Integration • Metadata and Lineage • Cloud Data PlatformsAdvanced Analytics & AIPredictive Analytics • Machine Learning Enablement • Intelligent Automation • Generative AI Integration • Data Science CollaborationData Governance Data Quality Management • Master Data Management (MDM) • Policy & Compliance • Data StewardshipLeadership & TransformationExecutive Stakeholder Alignment • Cross-Functional Team Leadership • COE Establishment • Organizational Change Management • Strategic Communication • Continuous Improvement

Experience

1. Senior Director Data Analytics and Automation Strategy, Corporate Audit Services

   Eli Lilly and Company

   Dec 2025 — Present · Indianapolis, IN, US

   Lead enterprise data analytics, automation, and artificial intelligence strategy for Corporate Audit Services (CAS), advancing data-driven auditing, continuous monitoring, and enterprise assurance capabilities.• Define and execute a comprehensive analytics and automation roadmap aligned to internal audit, risk management, controls, and governance objectives.• Build, lead, and scale a high-performing team of data analytics, automation, and AI professionals supporting audit engagements, fraud detection, and independent risk assessments.• Embed advanced analytics and automation across the end-to-end audit lifecycle to improve audit efficiency, coverage, and stakeholder value.• Design and govern development standards, prioritization frameworks, and delivery processes for analytics, automation, and AI solutions.• Leverage large-scale enterprise data to identify anomalies, outliers, trends, and control gaps using advanced analytics, statistical techniques, and visualization.• Enable continuous auditing and monitoring programs through automated control testing and analytics-driven risk indicators.• Develop executive-level dashboards and data products using Power BI, semantic modeling, DAX, Power Query, and modern UX/UI best practices.• Drive adoption of emerging technologies including generative AI, Microsoft Fabric, and Agents to enhance audit productivity and insight generation.• Deliver ad-hoc and recurring analytics solutions, data extractions, and visualizations to support audit and assurance priorities.• Champion analytics best practices, external benchmarking, and continuous improvement across internal audit and assurance teams.• Mentor and coach leaders and practitioners in analytics, automation, and modern assurance methodologies.• Translate complex, ambiguous data and risk challenges into scalable, actionable analytics solutions.

Education

• Purdue University

  General Studies

• Western Governors University

  Bachelor of Science - BS, Data Analytics

  2023 — 2024

• McNally Smith College of Music

  Associate of Science - AS, Audio Engineering

  2003 — 2005

• Western Governors University

  Master of Science - MS, Data Analytics - Data Engineering

Skills

• Sql Server 2008
• Winsql
• Sql Server Integration Services
• Business Intelligence Studios
• Tableau
• Microsoft Access
• Microsoft Excel
• Oracle Sql
• Sql
• Ssrs
• Business Intelligence
• Ssis
• Process Improvement
• Microsoft Sql Server
• Databases
• Analysis
• Systems Analysis
• Blackberry
• Troubleshooting
• Training
• Blackberry Enterprise Server
• Leadership
• Technical Support
• Access
• Testing
• Management
• Sql Server Integration Services (Ssis)
• Sql Server Reporting Services (Ssrs)
• Business Process Improvement
• Analytical Skills