GenAI Testing Project Manager
We're seeking someone to join our HR AI Model Validation team as a GenAI Testing Project Manager, where you will lead the execution and shape the ongoing evolution of HR's GenAI testing and release-readiness approach, ensuring agentic AI capabilities perform reliably and meet required oversight standards.
In the Human Resources division, we help the firm support and develop its workforce through people insight, effective service delivery and practical tools that make it easier for employees and managers to get what they need. This role sits within HR Data & Intelligence, which helps the firm make better workforce decisions by turning data into trusted insight and delivering the reporting, platforms and AI-supported capabilities that support people operations and self-service access to workforce insight across HR and the business.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
- Run structured end-to-end testing and regression cycles agent-based and workflow driven AI tools , as models, prompts, and system components evolve
- Coordinate cross-functional testing activities, ensuring findings are clearly documented, triaged, and driven to closure
- Maintain and refine the testing framework, including test artifacts, evaluation criteria, and documentation standards as system behavior and architecture evolve
- Develop clear assessments, defect summaries and risk indicators to support evidence-based release decisions
- Partner with the global risk, governance, product and engineering teams to align testing practices with required GenAI monitoring and oversight standards
What you'll bring to the role:
- Experience testing complex or evolving systems--such as AI, machine learning, workflow automation, or multi-step digital products, typically gained over five years or more years in a product-driven environment
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- Ability to design, execute, and continuously improve structured test plans, regression suites, and scenario-based evaluations for systems that change frequently
- Demonstrated ability coordinating across global business stakeholders, engineering and product teams, and control partners to drive alignment
- Understanding of data quality dependencies, model behavior variability, and the operational risks associated with AI-enabled tools
- Familiarity with GenAI behaviors, prompt variability, agent frameworks, or evaluation methodologies
#LI-hybrid #LI-JL1 #BPPM
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- FSA
- Virtual Fitness Classes
- HSA
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Return-to-Work Program
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Leave of Absence
- Volunteer Time Off
- Personal/Sick Days
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Internship Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)