Data, Automation, and Proofpoint Model Lead (Governance, Controls, &QA)

U.S. Bank National Association • St. Louis, MO

10d • Onsite

About The Position

The Automation, Data, and Proofpoint Model Lead is a senior technical specialist responsible for orchestrating workflow execution across the Governance, Controls, and Quality Assurance (GCQA) function. This role manages and optimizes Proofpoint supervision processes, owns and maintains machine learning and large language model (LLM) assets, and drives automation and analytics to support risk management activities. The ideal candidate blends technical proficiency with strong risk-management discipline to enhance operational efficiency, model integrity, and data-driven decision‑making.

Requirements

• Bachelor's degree, or equivalent work experience
• Typically more than six years of applicable experience

Nice To Haves

• Advanced proficiency with: SQL, Python, PowerQuery PowerBI, Power Automate, PowerApps Copilot Studio Microsoft Office suite including Teams and SharePoint
• Expertise in: Large-scale data management (structured + unstructured) Statistical process analysis Risk indicator development and measurement Model validation and lifecycle management LLM and machine learning model refinement Proofpoint Supervision administration and tuning Data lineage assessment and documentation
• Strong analytical, problem‑solving, and communication skills.
• Ability to operate autonomously, manage competing priorities, and deliver high‑quality, scalable solutions.

Responsibilities

• Serve as the primary workflow orchestrator for the GCQA Manager, ensuring efficient, automated, and well‑documented processes.
• Develop, implement, and maintain automated workflows, dashboards, and tools to support GCQA processes.
• Coordinate cross-functional execution for governance, risk, control, and QA deliverables.
• Act as the subject-matter expert for Proofpoint rules, configurations, and supervisory workflows.
• Oversee Proofpoint ruleset changes, tuning, and maintenance conducted within CC.
• Ensure alignment to regulatory expectations, internal risk frameworks, and operational needs.
• Serve as the owner for LLMs and machine learning models utilized within GCQA.
• Lead refinement, testing, and lifecycle management for ML/LLM models, including validation support.
• Interpret large structured and unstructured datasets across multiple ingestion sources.
• Apply statistical and analytical methods to assess data quality, identify trends, and support risk measurement.
• Build automated reporting, dashboards, pipelines, and repeatable solutions for assigned risks and topics.
• Create data models, transformations, and analytic structures to enable deep insights.
• Measure risk through indicators aligned with risk management frameworks, regulations, rules, and compliance requirements.
• Ensure strong data lineage documentation and controls supporting transparency and audit readiness.
• Partner with stakeholders to ensure data and model outputs align to governance, control, and QA standards.
• Identify and remediate gaps in data, processes, and automation pipelines.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level