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Job description
Position Overview
Citi's Wholesale Credit Risk (WCR) Technology organization is seeking a Test Engineering Lead (Director, C15) to own and drive the quality engineering strategy for the Helios platform — Citi's strategic credit risk management ecosystem spanning Credit Review, Credit Approvals, Collateral, Covenants, Helios Lynx, and related applications.
This is a hands-on, technically credible leadership role for an individual who can operate simultaneously as a people leader of a global testing organization and as a technical change agent who personally understands (and can demonstrate) modern test automation and emerging GenAI-driven testing approaches. The successful candidate will be the architect of Helios's transformation from a largely manual, high-touch regression model toward a highly automated, AI-augmented, continuously-testing operating model — directly improving speed-to-production, defect containment, and cost efficiency for one of Citi's most business-critical credit platforms.
This role will partner closely with Development, SRE, Product, and Business Analysis leads across the Helios program.
Business Context
Helios underpins Citi's Wholesale Credit Risk workflows — credit approvals, risk rating, collateral management, limits, and covenants — for institutional clients globally. As GenAI accelerates the pace and complexity of software change across the platform, the QE organization must scale test coverage and confidence without a proportional increase in headcount . Current strategic priorities that this role will directly own or heavily influence include:
Driving overall regression automation coverage toward and beyond a 90%+ automation target , up from a current baseline in the mid-to-high 80s.
Reducing multi-day manual regression cycles (e.g., Helios Lynx, currently 5+ business days with 8–10 people) down to hours , through automation and parallelization on Citi's FAST test infrastructure.
Standing up GenAI-enabled testing capabilities (e.g., agentic test authoring, AI-assisted defect triage, AI-generated test packs) as a core capability of the testing organization — not a side experiment.
Reducing the manual test case backlog to fewer than 500 test cases.
Improving defect containment — reducing UAT/production defect ratios, shortening average defect detection time, and systematically mapping production Problem tickets (PRBs) back into automated regression coverage to prevent recurrence.
Leading the target-state operating model transition where automation engineering and E2E/governance functions are centralized under QE, while development teams take on greater ownership of SIT-level integration testing.
Managing headcount, budget, and vendor/contractor transition (including offboarding of prior managed-service automation partners and scaling of a ring-fenced, global automation engineering team).
Global Team Leadership
Lead, mentor, and grow a global, cross-regional team of software testing professionals (SDETs, automation engineers, manual/functional testers, and test leads) spanning NAM, EMEA, and APAC.
Define career paths, performance goals, and skills‑uplift programs to shift the organization's skill mix from manual testing toward automation engineering and AI‑augmented testing.
Own headcount planning, budget management, and the transition from third‑party managed testing services to a ring‑fenced, sustainable internal/blended automation engineering team.
Act as the senior QE voice in governance forums, steering committees, and Senior Technology Management reviews.
Test Automation Strategy & Execution
Own the end‑to‑end test automation roadmap for Helios, spanning API (Cucumber/Gherkin BDD), UI (Playwright/TypeScript, Selenium), and integration/E2E test suites, executed on Citi's FAST test infrastructure.
Drive automation coverage from current levels toward the 90%+ target, systematically eliminating "manual only" and "manual pending" backlog categories.
Establish and enforce test data management, environment stability, and production‑representative test data strategies (including redacted production data refresh cycles) to eliminate flaky, low‑confidence test results.
Oversee migration and modernization of test management tooling (e.g., Zephyr to Octane) and reporting/dashboarding (FAST feature tag reporting, requirements coverage, regression dashboards).
GenAI & Testing Innovation — Agent of Change
Serve as the primary driver and evangelist for GenAI adoption within the testing lifecycle — including AI‑assisted test case generation, AI‑augmented code/test review (e.g., GitHub Copilot), agentic development platforms (e.g., Devin), and AI‑powered QA workspaces (e.g., Stylus, Friday.ai).
Define governance and quality guardrails for AI‑generated test artifacts, ensuring all AI‑authored tests are validated before being promoted into regression suites.
Identify, pilot, and scale new GenAI‑based testing solutions
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Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.