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Data, Automation, and Proofpoint Model Lead; Governance, Controls, &QA

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: U.S. Bank
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data, Automation, and Proofpoint Model Lead (Governance, Controls, &QA)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

NOTE:
This position is not eligible for current or future visa sponsorship.

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.

Key Responsibilities
  • Workflow Orchestration & Operational Support:
    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.

  • Proofpoint Supervision Leadership:
    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.

  • Model & Data Stewardship:
    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.

  • Analytics, Automation, and Reporting:
    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.

  • Risk, Governance, and Data Quality:
    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.

Qualifications
  • Basic Qualifications
    :
    Bachelors degree, or equivalent work experience. Typically more than six years of applicable experience.

  • Preferred Skills/Experience
    :

    • Advanced proficiency with:
      SQL, Python, Power Query
      .

    • Power

      BI, Power Automate, Power Apps

    • Copilot Studio

    • Microsoft Office suite including Teams and Share Point

  • 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.

Location

LOCATION EXPECTATIONS:
This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE:
This position is not eligible for current or future visa sponsorship.

Disability Accommodations

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for…

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