AVP, Agility and Strategic Intelligence

Morgan Stanley•Alpharetta, GA

1d•$70,000 - $115,000

About The Position

Morgan Stanley is seeking an Assistant Vice President to join the Agility and Strategic Intelligence (ASI) Team. The successful candidate will advance AI governance and risk management across a growing portfolio of AI and automation initiatives by leading governance activities, strengthening controls, and driving consistent execution across stakeholders. The 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 exercise sound judgment in complex, cross-functional environments, understand AI technologies and associated risks, influence outcomes, and balance innovation with disciplined risk management.

Requirements

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 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.

Nice To Haves

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

Responsibilities

Lead 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 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.
Evaluate the design and effectiveness of controls supporting AI and emerging technology initiatives.
Drive control improvements through process enhancements, automation, analytics, and monitoring capabilities.
Lead implementation of 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 to enable timely management decisions.
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 that affect AI adoption.
Assist in developing reporting tools and data visualizations that improve transparency and decision-making.
Lead cross-functional coordination among 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.