Firmwide AI Data Operations & Strategy Vice President at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

200000.0

Posted On

25 Oct, 25

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, AI Performance Metrics, Data Engineering, SQL, Python, Data Product Design, Metadata Management, Financial Services

Industry

Financial Services

Description

*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. *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. *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. 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. Expected base pay rates for the role will be between $120,000 and $200,000 per year at the commencement of employment. 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.

Responsibilities

Deliver and operationalize a firmwide AI data strategy while building and managing AI data pipelines and analytics systems. Develop a unified AI measurement framework and executive dashboards to provide insights into AI performance and value creation.