Morgan Stanley · 1 month ago
Firmwide AI Data Operations & Strategy Vice President
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 role involves building and scaling systems and reporting infrastructure to transform AI data into actionable intelligence for decision-makers across the enterprise.
Asset ManagementFinanceFinancial ServicesLending
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
Qualification
Required
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
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
Benefits
Some of the most attractive and comprehensive employee benefits and perks in the industry
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
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