VP M&A E2E VP Quality Engineering

Responsibilities

• Workbook Quality Bar: Define and maintain the criteria that make an SME-review workbook ready — completeness, clarity, and traceability — and audit workbooks against them each cycle.
• AI-PR Acceptance Criteria: Own the acceptance criteria for AI-generated pull requests, partnering with the Applied AI Engineer on quality gates and disposition requirements.
• Phase Go/No-Go Quality Checklist: Own the functional Go/No-Go quality checklist for each migration phase and hold the quality line at phase gates.
• Weekly RemOps Triage: Run weekly quality triage with Remediation Operations to review failures, escapes, and emerging risks.
• Quality Metrics Ownership: Define, track, and report the program’s core quality metrics — false-positive rate, PR merge rate, and CI failure taxonomy — to leadership and governance.
• Test-Bar Governance (Not Execution): 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.
• Cross-Track Coordination: Coordinate quality expectations across the engine, DB & App, batch, and SME tracks, and integrate into the program test strategy.
• Defect-Escape Governance: Establish defect-escape and quality thresholds that feed the cutover Go/No-Go decision, escalating risks early.

Requirements

• Quality Engineering Leadership: 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).
• End-to-End Quality Governance: 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.
• Test Management & Defect Tooling: Experience with test-management and defect-tracking tooling (e.g., qTest and Jira) and structured test-environment and UAT governance.
• Vendor & UAT Oversight: Experience governing vendor/partner test execution and coordinating SME-owned UAT sign-off across multiple domains.

Qualifications

• 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.
• Standard-Setting: Defines clear, objective quality criteria that others can execute and be measured against.
• Holding the Line: Makes disciplined, evidence-based Go/No-Go calls under schedule pressure.
• Measurement Orientation: Manages quality through metrics and trends, not anecdotes.
• Influence Without Direct Execution: Drives quality outcomes through governance, partnership, and oversight across LPL and vendor teams.

Skills

• Experience governing quality for AI/ML-generated artifacts or automated remediation pipelines.
• Familiarity with Testing tools, Jira, and structured test-environment and UAT governance.
• Experience defining acceptance criteria at the boundary between automated CI and human UAT sign-off.

Benefits

• Base Salary Range: $149,247.00 - $248,745.00
• LPL Total Rewards Package: Highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

Pay

• Pay Range: $149,247.00 - $248,745.00

Schedule

• Commensurate with experience.