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VP M&A E2E VP Quality Engineering

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: LPL Financial
Full Time position
Listed on 2026-08-05
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation
Job Description & How to Apply Below

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview

The E2E QE Lead, reporting to the SVP, Technology with a dotted line to the AI Lead, owns end-to-end quality governance for the Equitable migration. This role sets the standards and oversees their execution — it does not perform the testing itself: application-level and end-to-end test execution is delivered by a Centralized Domain App & QE cell, and SMEs own UAT sign-off.

The Lead defines SME-ready workbook criteria and AI-PR acceptance criteria, owns the functional phase Go/No-Go quality checklist, runs weekly triage with Remediation Operations (Rem Ops), and owns the quality metrics that tell the program whether it is on track — false-positive rate, PR merge rate, and CI failure taxonomy. The role sets the bar and oversees the bar; it is distinct from the testing cell that executes against it, and from the E2E Solution Lead role.

Responsibilities:
  • Define and maintain the criteria that make an SME-review workbook ready — completeness, clarity, and traceability — and audit workbooks against them each cycle.
  • Own the acceptance criteria for AI-generated pull requests, partnering with the Applied AI Engineer on quality gates and disposition requirements.
  • Own the functional Go/No-Go quality checklist for each migration phase and hold the quality line at phase gates.
  • Run weekly quality triage with Remediation Operations to review failures, escapes, and emerging risks.
  • Define, track, and report the program's core quality metrics — false-positive rate, PR merge rate, and CI failure taxonomy — to leadership and governance.
  • Set and oversee the application-level and end-to-end test bar executed by the Cognizant Domain App & E2E QE cell, and ensure SME-owned UAT sign-off is well-defined and respected.
  • Coordinate quality expectations across the engine, DB & App, batch, and SME tracks, and integrate into the program test strategy.
  • Establish defect-escape and quality thresholds that feed the cutover Go/No-Go decision, escalating risks early.

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:
  • Minimum of 8 years in quality engineering/assurance, including a minimum of 3 years leading quality and test strategy for complex, multi-team software programs (governance and oversight, not hands-on test execution).
  • Demonstrated ownership of end-to-end quality governance — acceptance criteria, phase Go/No-Go gates, and quality bars — with measurable metrics such as defect-escape rate, false-positive rate, and test coverage.
  • Experience with test-management and defect-tracking tooling (e.g., qTest and Jira) and structured test-environment and UAT governance.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience), with a minimum of 8+ years in quality engineering/assurance including leadership of quality governance on enterprise programs.
Core Competencies:
  • Defines clear, objective quality criteria that others can execute and be measured against.
  • Makes disciplined, evidence-based Go/No-Go calls under schedule pressure.
  • Manages quality through metrics and trends, not anecdotes.
  • Drives quality outcomes through governance, partnership, and oversight across LPL and vendor teams.
Preferences:
  • Experience governing quality for AI/ML-generated artifacts or automated remediation pipelines.
  • Familiarity with Testing tools, Jira, and structured test-environment and UAT governance.
  • Background in regulated financial-services migrations or large platform-consolidation programs.
  • Experience…
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