Hybrid Process Manager (Associate)

Hybrid Process Manager (Associate) The Associate, Data Process Manager will be a critical driver of operational efficiency, quality control, and data integrity across our Quality Assurance (QA) monitoring teams and operational support towers. This role bridges the gap between technical execution and business operations, combining hands‑on data management—such as executing SQL scripts through Databricks and Argos, maintaining code repositories in GitHub, and building dynamic dashboards— with structured process management and continuous operational improvement. The ideal candidate possesses strong analytical rigor, meticulous attention to detail, and proactive communication skills. Functioning with minimal day‑to‑day oversight, they will influence operational outcomes, support audit and compliance requirements, and ensure that QA leadership has timely, reliable, and actionable insights to maintain enterprise quality standards. Key Responsibilities Data Reporting & Dashboard Management Dashboard Ownership: Design, build, and maintain operational dashboards and automated reporting suites (e.g., Tableau, Snowflake) used by QA Managers, Operations Leaders, and Executive Stakeholders to track key quality metrics and performance trends. Ad-Hoc Analysis: Fulfill ad-hoc data extraction and reporting requests across various partner groups, including Operations, Process Improvement, Project Management, and Internal Audit. Databricks, Argos & GitHub Code Governance Script Execution & Operations: Run, schedule, and monitor routine data production jobs and SQL scripts executed through both Databricks notebooks and Argos, ensuring timely and accurate data delivery with zero disruption to QA workflows. GitHub Repository Management: Maintain version control across all team SQL queries, Databricks notebooks, scripts, and automation workflows in GitHub, ensuring clean repository architecture and code documentation. Script Governance & Validation: Lead the team’s Script Governance process by managing pull requests, conducting dual control/peer code reviews in GitHub, and performing output testing prior to executing scripts in production. Process Management & Continuous Improvement Process Enhancement: Continuously evaluate current QA data collection, reporting, and operational workflows to identify bottlenecks, redundancies, and opportunities for automation or refinement. Operational Partnering: Engage closely with frontline Operations partners (tracked via JIRA) to capture user experience feedback, address data pain points, and streamline workflow handoffs between QA and Ops. Data Registration & Risk Compliance: Manage data process registration needs, data lineage documentation, and compliance artifacts to adhere to corporate data governance frameworks. Testing & Data Integration User Acceptance Testing (UAT): Lead UAT efforts for new operational data sources, database migrations, and schema changes to ensure data reliability prior to production deployment. The ideal candidate will have A proficiency in using SQL to write complex joins, CTEs, aggregations, window functions, and optimizing queries Hands-on experience executing scripts via Databricks and Argos, alongside code repository management using GitHub (or Git version control) Experience building dashboards in Tableau (or similar BI tools) and querying cloud data warehouses like Snowflake Familiar with using JIRA and Confluence for logging tickets, tracking operational enhancements, and documenting process workflows. Experience using either Python or PySpark for advanced data processing within Databricks Location: This role is hybrid, where you will be expected to spend 3 days per week working in office and the remainder of the week working virtually. Basic Qualifications High School Diploma, GED or equivalent certification At least 1 years of of experience in data operations, QA reporting, operational analytics, or process improvement At least 1 year experience using Google Suite or Microsoft Office At least 1 year SQL experience Preferred Qualifications Bachelor’s Degree or Military experience At least 2 years of Project Management experience BPM, PMP, Lean, Six Sigma, or Agile certification At least 1 year experience working with data warehouse tool At least 2 years of SQL experience At least 1 year of experience using project management tools, such as Jira or Confluence At least 1 year experience with Python or Pyspark At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Anytown, DE: $66,700 - $76,100 for Process Manager McLean, VA: $73,300 - $83,700 for Process Manager Richmond, VA: $66,700 - $76,100 for Process Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One’s recruiting process, please send an email to View email address on click.appcast.io Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr Capital One