Principal AI Data Analyst
UnitedHealth GroupOptum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
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.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- 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
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direc
Opens the company's application page
Listed via
Jobicy
jobicy.com
Similar roles
Design & Tech
Related reads from TCHNX
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.
Algorithmic Bias in Design Systems: Why Your AI-Generated UI Might Exclude Users
As AI tools increasingly generate interface components, they're embedding biases that systematically exclude users. Understanding how machine learning models inherit prejudice is essential for creating truly inclusive design systems.