AVP, Agility and Strategic Intelligence

Posted 20 Hours Ago
Be an Early Applicant
2 Locations
In-Office
70K-115K Annually
Senior level
Fintech • Financial Services
The Role
Leads AI governance and risk oversight across AI, generative AI, and automation initiatives. Responsibilities include designing controls, assessing and escalating risks, managing governance reviews, tracking remediation, developing risk metrics and executive reporting, and coordinating stakeholders across Legal, Compliance, Risk, Security, Technology, Data, and Operations. The role supports responsible AI deployment, regulatory examinations, audits, and cross-functional program execution in a regulated financial-services environment.
Summary Generated by Built In

Introducing Morgan Stanley at Work:

We know a lot about investing and are certain there’s no better investment a company can make than in its employees. People don’t just drive a company; they are the company. So, when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offerings span Equity, Financial Wellness and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits.


What you’ll be part of – our Morgan Stanley at Work culture:

At Morgan Stanley at Work, we walk-the-talk. We have created a place for our employees to learn, achieve and grow – a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients’ expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results. We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard.

We value differences and are committed to providing a work environment where our people can do their best work. We are looking for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success. We invite you to explore how you can be an integral part of our team.

Morgan Stanley is seeking an Assistant Vice President to join the Agility and Strategic Intelligence (ASI) Team. The successful candidate will play a key role in advancing AI governance and risk management across a growing portfolio of AI and automation initiatives, with responsibility for leading governance activities, strengthening controls, and driving consistent execution across stakeholders.

This role combines risk governance, control design, risk reporting, program leadership, and emerging technology oversight. The Assistant Vice President will partner with business, technology, data, and control functions to translate governance requirements into practical processes, provide informed challenge, and support the responsible deployment of AI capabilities.

The ideal candidate is a collaborative risk leader and strong problem solver who can operate with sound judgment in complex, cross-functional environments, understand AI technologies and their associated risks, influence outcomes, and balance innovation with disciplined risk management.


Primary ResponsibilitiesAI Governance & Risk Oversight
  • Lead the execution and continuous enhancement of AI governance frameworks, policies, standards, and procedures.
  • Identify, assess, document, and escalate AI-related risks, applying sound judgment and informed challenge.
  • Lead governance reviews for AI, Generative AI, and automation initiatives, driving clear decisions and accountable next steps.
  • Build effective partnerships with Legal, Compliance, Risk, Information Security, Model Risk Management, and other control functions.
  • Oversee approval records, decision documentation, and governance evidence to support audit and regulatory requirements.
Risk & Control Design
  • Evaluate the design and effectiveness of controls supporting AI and emerging technology initiatives.
  • Drive opportunities to strengthen controls through process improvements, automation, analytics, and monitoring capabilities.
  • Lead implementation of new governance processes and control enhancements in partnership with accountable stakeholders.
  • Manage issue identification, remediation tracking, and control gap analysis, escalating matters as appropriate.
  • Develop and maintain key risk indicators, control metrics, and monitoring frameworks that enable timely management decisions.
Risk Reporting & Analytics
  • Produce executive dashboards and management reporting related to AI portfolio risk, governance activities, and control effectiveness.
  • Support committee materials, governance forums, and senior management presentations.
  • Analyze trends, emerging risks, incidents, and regulatory developments impacting AI adoption.
  • Assist with development of reporting tools and data visualizations that improve transparency and decision-making.
Program & Stakeholder Management
  • Lead cross-functional coordination across business stakeholders, technology teams, and risk partners.
  • Oversee governance workflows throughout the AI lifecycle, from intake and review through implementation and ongoing monitoring.
  • Facilitate working groups, governance forums, and risk review meetings, ensuring decisions and ownership are clearly documented.
  • Drive action items, approvals, remediation plans, and program milestones to timely completion.
  • Represent the program in regulatory examinations, audits, and risk assessments, coordinating responses across stakeholders.

QualificationsRequired Qualifications
  • Bachelor's degree or equivalent experience.
  • 3-7 years of experience in risk management, governance, controls, technology risk, audit, compliance, program management, or a related field.
  • Experience identifying, assessing, documenting, and escalating risks in a complex or regulated environment.
  • Working knowledge of Generative AI, machine learning, intelligent automation, AI agents, and the risks and controls associated with the AI lifecycle.
  • Ability to evaluate AI use cases, understand proposed solution approaches, and translate technical concepts into clear risk and governance requirements.
  • Strong analytical, problem-solving, control-design, and risk-assessment skills.
  • Excellent written and verbal communication skills, including the ability to explain AI risks and governance expectations to business, technology, and control stakeholders.
  • Ability to lead effectively across multiple stakeholders and organizational levels.
  • Strong organizational skills and attention to detail.
Preferred Qualifications
  • Experience supporting AI governance, responsible AI, model governance, technology risk, or emerging technology control frameworks.
  • Experience evaluating AI-enabled solutions or partnering with product, engineering, data, and architecture teams in a regulated environment.
  • Familiarity with prompt design, retrieval-augmented generation, AI agents, workflow automation, or human-in-the-loop controls.
  • Experience preparing executive-level risk recommendations, reporting, and presentations.
  • Knowledge of financial services regulatory environments.
  • Experience working with business, Legal, Compliance, Risk, Technology, Data, and Operations teams.

Technical Skills

Preferred familiarity with risk, governance, analytics, and AI tools and concepts, including:

  • AI governance, responsible AI, model risk, and technology control frameworks
  • Generative AI platforms, copilots, AI agents, and enterprise AI tools
  • AI lifecycle risks, evaluation methods, monitoring, and human-in-the-loop controls
  • Power BI, Tableau, Excel, and data analysis or visualization tools
  • JIRA or workflow and program management platforms
  • Data management, reporting, workflow automation, and API concepts

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.

New York only: Expected base pay rates for the role will be between $70,000 to $115,000 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. 

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.

Skills Required

  • Bachelor's degree or equivalent experience
  • 3-7 years of experience in risk management, governance, controls, technology risk, audit, compliance, program management, or a related field
  • Experience identifying, assessing, documenting, and escalating risks in a complex or regulated environment
  • Working knowledge of generative AI, machine learning, intelligent automation, AI agents, and associated AI lifecycle risks and controls
  • Ability to evaluate AI use cases, understand proposed solution approaches, and translate technical concepts into risk and governance requirements
  • Strong analytical, problem-solving, control-design, and risk-assessment skills
  • Excellent written and verbal communication skills
  • Ability to lead effectively across multiple stakeholders and organizational levels
  • Strong organizational skills and attention to detail
  • Experience supporting AI governance, responsible AI, model governance, technology risk, or emerging technology control frameworks
  • Experience evaluating AI-enabled solutions or partnering with product, engineering, data, and architecture teams in a regulated environment
  • Familiarity with prompt design, retrieval-augmented generation, AI agents, workflow automation, or human-in-the-loop controls
  • Experience preparing executive-level risk recommendations, reporting, and presentations
  • Knowledge of financial services regulatory environments
  • Experience working with business, Legal, Compliance, Risk, Technology, Data, and Operations teams
  • Familiarity with AI governance, responsible AI, model risk, and technology control frameworks
  • Familiarity with generative AI platforms, copilots, AI agents, and enterprise AI tools
  • Familiarity with AI lifecycle risks, evaluation methods, monitoring, and human-in-the-loop controls
  • Familiarity with Power BI, Tableau, Excel, and data analysis or visualization tools
  • Familiarity with JIRA or workflow and program management platforms
  • Knowledge of data management, reporting, workflow automation, and API concepts

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Healthcare Strength — Health coverage is characterized as comprehensive, with medical, dental, vision, and added supports like One Medical and mental-health sessions. Feedback suggests the overall package is strong to excellent for a large financial-services employer.
  • Retirement Support — Retirement programs include a 401(k) with company matching and related financial benefits. These features are frequently highlighted as part of a broad, competitive package.
  • Parental & Family Support — Family benefits are noted for generous paid parental leave, fertility support, and caregiver leave. Feedback suggests these offerings stand out as a strength within the package.

Morgan Stanley Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

Similar Jobs

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Inside Sales Representative

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
14 Locations
40000 Employees
45K-85K Annually

Mastercard Logo Mastercard

Regional Manager, Digital Assets Sales & Commercialization, North America

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
New York, NY, USA
38800 Employees
151K-242K Annually

Mastercard Logo Mastercard

Manager, Total Rewards - Immigration Strategy

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Harrison, NY, USA
38800 Employees
97K-179K Annually

Mastercard Logo Mastercard

Global B2B & Product Marketing Specialist - Small and Medium Enterprises

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Harrison, NY, USA
38800 Employees
73K-135K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account