Lead QA Engineer

Analytics & Data Technology (AIDT) enables and drives strategic data‑driven initiatives and innovations across Morgan Stanley Wealth Management (MSWM) businesses. AIDT areas of expertise include but are not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross‑business‑unit Information Management, Business Intelligence and more. AIDT team synthesizes and provisions a multitude of business‑critical metrics and underlying detailed information in all Core areas of (MSWM). Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, and so on. As an integral part of AIDT, Quality Engineering (QE) team's core mission is to ensure quality and reliable product deliveries with efficiency and process compliance through testing, validation, automation, and tooling. Our team is committed to innovating and applying the best engineering practices for continuous process improvements, efficiency gains and problem‑solving with collaboration across teams. Our coverage includes Data & Services, Analytics, AI/ML/GenAI, Knowledge and Content Management and Data Governance. Position Overview We are looking for a hands‑on and technical savvy candidate who can lead teams to perform and excel. We need a candidate who has an automation mindset and skills, takes ownership and actively looks for opportunities to automate and improve efficiency. You will join one of the fleets in AIDT as QE Lead and will be responsible for leading end‑to‑end testing (UI, API, Data, Integration). You should be an expert in functional, and automation testing and have previous experience with BDD. He/She should be proficient in automation tools for database, API and UI testing. You should have at least 7+ years of testing or development experience in Wealth Management related domains. You should be flexible, highly adaptable, and an excellent team player. The candidate is expected to work with teams that consist of Agile squads. You should expect to work with a global team across multiple time zones and locations. You will be a culture carrier for the team and partner with our vendors to provide best‑in‑class testing services. What you will do in the role Ensures appropriate usage of tools and methodologies Plans and executes across all testing phases (i.e. functional/feature aligned sprint testing, integration, regression, end‑to‑end and post‑production testing) Understands business domains and can connect the dots end‑to‑end Develops test automation solutions for applications across different platforms Participates in technical discussions with engineering teams to understand application architecture Integrates test automation scripts with DevOps tools to achieve Continuous Integration, Testing and Delivery Performs periodical review on squads' adherence to best practices Problem solving to remove hurdles for QE members to perform effectively and efficiently Manages defects and ensure timely closure What you will bring to the role 7+ years' experience working as a functional and automation leader in a large financial service organization or major consulting organization Experience with collaborating effectively across teams Proven record of execution of QA strategy and unification of QA processes across teams Must have hands‑on functional testing and automation Must have experience with tools and technologies like JMeter, Java/Selenium, TeamCity, Jenkins, GIT, JIRA, ALM, ARD, etc. Versed with approaches like BDD and Data Driven test automation. Understanding Agile methodology Has sound knowledge of various testing framework and the experience to apply Excellent communication (written and oral) and interpersonal skills Proficiency in one or more programming languages and/or automation tool a must Development background is helpful. What you can expect from Morgan Stanley Expected base pay rates for the role will be between $95,000 to $135,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long‑term incentive packages, and other Morgan Stanley sponsored benefit programs. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). #J-18808-Ljbffr