The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering. This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making.

Lead AI assisted analysis of data events and incident investigations using structured and unstructured data

Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets

Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements

Build and maintain production analytics solutions using Python, PySpark, and Databricks

Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability

Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards

Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights

Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders

Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality

Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space