Pauline Tan

About Pauline Tan

I’m a Senior Consultant at Nationwide Insurance with deep expertise in data strategy, analytics engineering, and AI enablement. With a background in actuarial science and over a decade in financial services, I specialize in transforming complex data into actionable insights that drive decision-making across life, annuity, and retirement business lines.As the primary contributor to the Grogu initiative—a CIPO-driven effort to improve reporting efficiency—I enhanced reporting processes by designing scalable, reusable datasets and data models. These improvements significantly reduced ad hoc data pulls and enabled more streamlined, trustworthy analytics across teams.I’ve built enterprise-grade data flows in Dataiku, automated ingestion pipelines and alert systems, and applied AI tools to eliminate manual monitoring and accelerate business insights. My work frequently bridges the gap between business and technology, partnering with IT and the Enterprise Data Office (EDO) to align data solutions with strategic priorities and explore innovative technologies.Highlights of my work include: Natural language query prototypes using Snowflake Cortex AI-assisted analytics through Dataiku’s AI Agent Route optimization use cases built with Streamlit Anomaly detection via Anomalo Data pipeline integration with Salesforce, Anaplan, and TableauI’m passionate about helping others grow, enabling self-service analytics, and applying automation and AI in ways that deliver real, measurable business value.Certifications: Dataiku Machine Learning (2025) Generative AI – Microsoft & LinkedIn (2024) Google Advanced Data Analytics Professional Certificate

Experience

1. Senior Consultant, Business Insights

   Nationwide Financial

   Aug 2025 — Present · Columbus, OH, US

   Promoted for demonstrated leadership in advancing CIPO data and AI capabilities. In this role, I drive strategic automation and AI initiatives that improve reporting accuracy, streamline workflows, and enable cross-functional insights across Life, Annuity, and Retirement Solutions.Collaborated with Retirement Solutions to automate reporting workflows and enhance dashboard delivery speed and accuracy. Led the buildout of data models for Assets Under Management (AUM) and first-sale tracking, significantly improving producer performance analytics.Automated product monitoring through Dataiku alerting, including a MYGA entry alert that eliminated the need for manual daily checks. Partnered with business teams to automate territory zip ingestion pipelines across business lines, improving alignment and reducing data lags.Prototyped and delivered AI-driven sales intelligence through Snowflake Cortex, enabling natural language queries for weekly sales data and deeper analysis of annuity sales drivers. Participated in the Stardog knowledge graph proof of concept, exploring semantic modeling for smarter data discovery.Collaborated with Dataiku’s data science team to test and apply AI Agent features to real-world use cases. Used ChatGPT to support Python development efforts, accelerating address standardization and geospatial segmentation tasks.Supported multiple business units with technical guidance, data model consultation, and dashboard strategy. Continued cross-functional enablement by supporting HR and Life datasets used in Salesforce and Anaplan, and contributed to platform alignment for the Premier Firms dashboard.

Education

• The Ohio State University

  Bachelor's Degree, Actuarial Science

  1992 — 1994

• Sunway College

  Tertiary courses

• SSP

  Secondary School

Skills

• Data Analysis
• Pricing
• R
• Statistics
• Databases
• Microsoft Excel
• Hyperion/Essbase
• Power Query
• Health Insurance
• Minitab
• R Programming
• Insurance
• Power Pivot
• Olap Databases
• Analysis
• Financial Analysis
• Leadership
• Access
• Db2
• Sql
• Business Analysis
• Sas
• Process Improvement
• Business Intelligence
• Forecasting
• Risk Management
• Essbase
• Analytics