The Data & Analytics Engineering Lead position at Morgan Stanley is a Director-level role focused on managing Confluence-related requirements across multiple departments. The Knowledge Access Team aims to enhance knowledge platforms for employees, ensuring they evolve with business needs and incorporate GenAI-enabled knowledge discovery. This position involves acting as a platform owner, coordinating vendor changes, and driving the adoption of AI technologies. The role emphasizes operational excellence, content governance, and the integration of advanced knowledge workflows.

• Bachelor's degree in computer science, Information Systems, or equivalent experience.
• 6+ years of experience in Knowledge Platform Management with a focus on engineering and scalable automation.
• Proven experience in Backend Development and Automation using Python.
• Demonstrated ability to manage complex, cross-department requirements in a high-compliance environment.
• Strong technical understanding of Platform Governance.

• Act as the main contact for Confluence requirements across departments in North America.
• Coordinate with Atlassian and Stack Overflow vendors to manage platform changes.
• Drive the adoption of ROVO agents for knowledge workflows and integration with internal GenAI systems.
• Run content hygiene programs to manage stale, duplicate, and broken links.
• Provide L2/L3 operational support for Confluence and knowledge tools.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.