Analytics Team Lead - Vice President

The Technology and Risk Controls Engineering team within Morgan Stanley's Technology Organization is seeking an Analytics Team Lead-Vice President to provide hands-on data analytics expertise and technical leadership in support of continuous control monitoring. The role will identify and evaluate data sources, perform data analysis, and assess whether data is suitable to support control metrics. The role will partner with teams across the metric development lifecycle to define requirements, confirm data suitability, onboard new feeds, complete user acceptance testing (UAT), and maintain supporting documentation.

This is a technical leadership role with no direct reports or formal people-management responsibilities. The team lead will own delivery of assigned data analytics and metric-development work streams and coordinate junior analysts' work through clear expectations, deadlines, and technical guidance. The role will ensure deliverables meet documented acceptance criteria, are completed on time, and have identified errors corrected and retested before submission.

The team lead will also mentor junior analysts and developers and report on workstream delivery progress.

• Collaborate with data subject matter experts (SMEs), control owners, and other team members to understand and document data requirements.
• Independently investigate ambiguous data and metric requirements, challenge assumptions, and recommend fit-for-purpose analytical approaches with limited direction.
• Identify and evaluate potential data sources.
• Evaluate and document data in terms of volume, velocity, variety, veracity, and value.
• Write scripts to extract, transform, and analyse data from various sources.
• Assess and document whether data is suitable to support control metrics.
• Translate approved Control Measurement Record requirements into documented, tested, and validated metric calculation logic; coordinate handover to platform engineering and verify implementation through UAT.
• Document requirements for new data sources and enhancements to existing sources.
• Partner with the database team to onboard new data feeds in accordance with Technology standards and procedures, including UAT planning, execution, and documentation
• Guide the visualization team on the use of data for metric development.
• Follow the company's Software Development Life Cycle (SDLC) policies.
• Create and maintain documentation demonstrating adherence to required processes for review by the Second Line and Internal Audit.
• Own planning and delivery of assigned data analytics and metric-development work streams, including prioritization, capacity planning, quality assurance, dependency management, and milestone tracking.
• Track workstream progress using project management tools such as JIRA, report delivery status, and promptly escalation risks and issues.
• Provide day-to-day technical leadership for junior analysts by coordinating task assignments, clarifying requirements and acceptance criteria, setting delivery deadlines, and monitoring work through completion.
• Review junior analysts' analyses, SQL queries, scripts, testing evidence, and documentation for accuracy, completeness, and adherence to requirements and standards before submission.
• Apply quality assurance checks, including data reconciliation, validation, and peer review; ensure identified errors are corrected and retested before delivery.
• Mentor junior analysts and developers through hands-on coaching, code reviews, knowledge sharing, and guidance on analytical methods, coding standards, testing, and documentation

• At least 5 years of experience writing Python scripts for data analysis, including extensive knowledge of pandas, regular expressions (re), lambda…