Regional AI Strategy/Data Operations- VP - Operations Risk & Regulatory Control (ORRC)

Morgan Stanley•Baltimore, MD

2d•$93,000 - $140,000

About The Position

Manage complex processes and/or support significant process management/project efforts Lead in process improvement, project management or technology development and testing across multiple teams and/or divisions Analyze and expose ambiguous, complex issues or non-standard issues, identify risks, root causes and propose future actions, tracking through to resolution Set the NA data strategy, roadmap, and KPIs; align regional priorities to global objectives and budget. Define and maintain governance frameworks; ensure certified, authoritative data underpins regulatory and risk reporting. Own the regional Opportunities Backlog: surface high‑value opportunities, quantify benefits (risk reduction, control effectiveness, capacity, client impact), and drive prioritization across silos. Champion automation and AI use‑cases by ensuring data quality, lineage, and access patterns support scalable delivery; remove blockers with RTech and Transformation. Lead senior stakeholder engagement with Silo leadership and firmwide partners; replicate successful patterns and reusable assets. Sponsor data culture: training (Data Academy), tool adoption (DataZone, Collibra, MS Maps, Snowflake), communications, and communities of practice. Front-to-back knowledge of the processes, projects, systems, markets and instruments that influence their team with a comprehensive understanding of job-related operational/compliance policies and procedures Ability to think commercially, understand the impact of initiatives, risks on the operational budget Ability to address non-standard issues within area of expertise Culture carrier and role model, representing and leading the Firm's core values to influence and motivate those around you At least 7 years' relevant experience in data management and/or operational risk within financial services, with demonstrable regional or global leadership delivering improved controls, reduced risk, and automation/AI at scale. Expert: Risk Management & Control; Business Knowledge & Expertise; Transformation; Strategic Thinking & Vision; Leadership & Management. Advanced to Expert: Analysis, Problem Solving & Judgement; Communication; Financial Performance & Commercial Focus. Deep understanding of data governance, architecture, and regulatory reporting in complex, global environments. Proven experience leading multi‑silo transformation portfolios and data modernization at scale. Fluency with data platforms and governance tools (e.g., Snowflake, Collibra, DataZone) and close partnership with RTech. Exceptional stakeholder management and influence; clear, concise communication with senior audiences. Ability to convert strategy into executable plans with measurable outcomes and robust controls. 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. 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. Salary range for the position: $93,000 and $140,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. 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.

Requirements

Front-to-back knowledge of the processes, projects, systems, markets and instruments that influence their team with a comprehensive understanding of job-related operational/compliance policies and procedures
Ability to think commercially, understand the impact of initiatives, risks on the operational budget
Ability to address non-standard issues within area of expertise
Culture carrier and role model, representing and leading the Firm's core values to influence and motivate those around you
At least 7 years' relevant experience in data management and/or operational risk within financial services, with demonstrable regional or global leadership delivering improved controls, reduced risk, and automation/AI at scale.
Expert: Risk Management & Control; Business Knowledge & Expertise; Transformation; Strategic Thinking & Vision; Leadership & Management.
Advanced to Expert: Analysis, Problem Solving & Judgement; Communication; Financial Performance & Commercial Focus.
Deep understanding of data governance, architecture, and regulatory reporting in complex, global environments.
Proven experience leading multi‑silo transformation portfolios and data modernization at scale.
Fluency with data platforms and governance tools (e.g., Snowflake, Collibra, DataZone) and close partnership with RTech.
Exceptional stakeholder management and influence; clear, concise communication with senior audiences.
Ability to convert strategy into executable plans with measurable outcomes and robust controls.

Responsibilities

Manage complex processes and/or support significant process management/project efforts
Lead in process improvement, project management or technology development and testing across multiple teams and/or divisions
Analyze and expose ambiguous, complex issues or non-standard issues, identify risks, root causes and propose future actions, tracking through to resolution
Set the NA data strategy, roadmap, and KPIs; align regional priorities to global objectives and budget.
Define and maintain governance frameworks; ensure certified, authoritative data underpins regulatory and risk reporting.
Own the regional Opportunities Backlog: surface high‑value opportunities, quantify benefits (risk reduction, control effectiveness, capacity, client impact), and drive prioritization across silos.
Champion automation and AI use‑cases by ensuring data quality, lineage, and access patterns support scalable delivery; remove blockers with RTech and Transformation.
Lead senior stakeholder engagement with Silo leadership and firmwide partners; replicate successful patterns and reusable assets.
Sponsor data culture: training (Data Academy), tool adoption (DataZone, Collibra, MS Maps, Snowflake), communications, and communities of practice.

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