Firmwide AI Data Operations & Strategy Vice President at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

200000.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Analytics Delivery, Business Intelligence, Dashboard Development, Data Architecture, System Integration, Governance Principles, Project Management, Stakeholder Management, Data Storytelling, AI Metrics, Data Engineering, SQL, Python, Tableau, Power BI

Industry

Financial Services

Description

Morgan Stanley’s Firmwide AI organization is seeking a Vice President of AI Data Operations & Strategy to lead the delivery of a unified data framework that powers how the firm measures, manages, and optimizes the value of AI. This results-driven leader will build and scale the systems, dashboards, and reporting infrastructure that transform AI data—on usage, ROI, engagement, investment, and performance—into actionable intelligence for decision-makers across the enterprise. As the bridge between business strategy, technology, and analytics, this individual will ensure AI data is structured, governed, and activated to drive measurable outcomes. Their work will enable transparency, accountability, and insight across Morgan Stanley’s AI portfolio—ensuring every initiative delivers tangible business value. Key Responsibilities ·Deliver and operationalize a firmwide AI data strategy, ensuring consistent data capture, integration, and analysis across business units. ·Build and manage AI data pipelines and analytics systems that provide a single source of truth for AI adoption, investment, and performance metrics. ·Develop and maintain a unified AI measurement framework to track usage, ROI, engagement, and outcomes across divisions. Own and deliver executive dashboards and visualization tools that provide real-time insight into AI performance and value creation. Serve as a thought partner to senior leadership, proactively identifying opportunities where AI data can unlock business value. ·Lead cross-functional delivery of data integrations and reporting solutions in partnership with Technology, Strategy, and Finance. ·Implement scalable data governance processes, ensuring clear metric definitions, documentation, taxonomy management, and version control. ·Translate business strategy into operational analytics ensuring data solutions directly support strategic goals and regulatory requirements. ·Drive automation and continuous improvement in data collection, quality, and reporting efficiency across AI initiatives. ·Enable data storytelling and adoption, empowering business leaders with tools and insights that inform investment, innovation, and execution decisions. ·Champion execution discipline, ensuring all AI data initiatives are delivered on time, within scope, and with demonstrable business impact. Required Skills & Experience ·Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or a related field; advanced degree (MBA or equivalent) preferred. ·6+ years of experience in data strategy, analytics delivery, or business intelligence within large, complex organizations. ·Proven ability to translate business objectives into measurable data frameworks and execute analytics initiatives end-to-end, balancing strategic vision with hands-on execution. ·Demonstrated experience building and operationalizing dashboards and data products in tools such as Tableau, Power BI, or equivalent. ·Strong understanding of data architecture, system integration, and governance principles, with a track record of scaling analytics solutions at the enterprise level. ·Exceptional communication and storytelling skills, with the ability to translate technical insights into executive-level narratives. ·Strong project management skills and comfort with leading agile, cross-functional delivery efforts. Executive stakeholder management, with the ability to influence outcomes and gain buy-in across diverse teams. Preferred Skills & Experience ·Experience defining and tracking AI and machine learning performance metrics in enterprise or transformation settings. ·Familiarity with data engineering and analytics environments such as Snowflake, Databricks, SQL, Python, or Alteryx. ·Background in data product design, metadata management, and multi-system integration. ·Experience in financial services, management consulting, or technology strategy. ·Proven success influencing and collaborating at senior levels in matrixed global environments. ·Understanding of data visualization best practices for executive and enterprise-level decision-making. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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. Expected base pay rates for the role will be between $120,000 and $200,000 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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Responsibilities

The Vice President will lead the delivery of a unified data framework for AI, ensuring consistent data capture and analysis across business units. They will build systems and dashboards to transform AI data into actionable intelligence for decision-makers.