Data Analyst, AI

About The Role

The Principal Event Data Analyst (AI & Advanced Analytics) plays a pivotal role in leading AI-driven investigations and analyses of workplace incidents and data events. This position requires a systematic, analytics-first approach to identify impacted data at scale through automation, machine learning, and advanced analytics techniques. The role involves collaborating with cross-functional teams including security, legal, privacy, and engineering to build and evolve an AI-enabled investigative data platform. Utilizing modern data lake architectures, distributed processing, and AI/ML pipelines, the analyst will accelerate insights and support decision-making processes.

This position is ideal for an experienced data professional passionate about leveraging AI and analytics to enhance cybersecurity and data protection efforts.

Qualifications

• Bachelor's degree or 6+ years of equivalent professional experience
• 5+ years of experience in advanced data analytics, data science, or AI-focused analytical roles
• 5+ years of experience developing, testing, and deploying production-grade Python code
• 3+ years of experience with DevOps and CI/CD tools such as GitHub Actions, Docker, Kubernetes, Terraform
• 3+ years of experience with distributed data processing using PySpark and Databricks
• Proven experience working with data lake architectures and medallion schemas
• Strong expertise in SQL, data modeling, and data integration techniques
• Ability to transform unstructured data (documents, images, OCR content) into structured, model-ready datasets

Responsibilities

• Lead AI-assisted analysis of data events and incident investigations utilizing structured and unstructured data sources
• Design and implement automated pipelines for ingesting, normalizing, deduplicating, enriching, and classifying 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 platforms
• Develop and deploy AI-driven workflows, including Generative AI use cases, to enhance investigative speed, accuracy, and scalability
• Ensure data security, integrity, and validation to uphold analytical standards and evidentiary requirements
• Collaborate with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
• Create dashboards, visualizations, and analytical summaries tailored for executive and technical stakeholders
• Operate effectively in time-sensitive environments while maintaining objectivity, confidentiality, and analytical rigor
• Contribute to the advancement of Optum’s AI and analytics capabilities within cybersecurity and data protection domains

Benefits

• Comprehensive health and wellness benefits
• Incentive and recognition programs
• Equity stock purchase options
• 401(k) retirement plan contributions
• Flexible remote work arrangements (in accordance with company policies)
• Opportunities for professional development and career growth
• Supportive work environment focused on inclusion and diversity