Data Production Program Management Lead

Your Team Responsibilities

The Data Production Program Management Lead plays a critical role in the operationalization and delivery of derived datasets that underpin MSCI Private Assets analytics and internal workflows. This includes overseeing production pipelines for the Private Capital Universe, index creation, and related outputs that flow into downstream platforms and client-facing tools.

Reporting to the Data Integration and Production Program Lead, this role acts as the connective tissue between Data Engineering, Product, and internal platform teams—ensuring execution discipline, production readiness, and alignment across all data delivery touchpoints. This role will help streamline tooling, support automation efforts, and reduce operational risk across one of MSCI’s most complex and business-critical data domains.

Your Key Responsibilities

• Own program execution for PCU and index creation pipelines from production logic through distribution readiness
• Collaborate with Data, Engineering, Product, and platform owners to define production timelines and manage upstream dependencies
• Align tooling requirements with internal teams to improve data validation, monitoring, auditability, and operational controls
• Track delivery readiness of each dataset, ensuring reconciliation and testing are complete before internal or external use
• Ensure seamless integration of production outputs into downstream platforms by coordinating platform owners
• Maintain comprehensive documentation of workflow logic, dependencies, and edge cases across PCU/index pipelines
• Identify and manage delivery risks, escalate blockers, and uphold release quality standards
• Serve as the central coordinator ensuring seamless handoffs between raw data production and downstream delivery—maintaining clear ownership, reducing fragmentation, and enabling end-to-end accountability

Your skills and experience that will help you excel

• 7+ years of experience in program or product management, preferably in data operations or analytics production
• Strong understanding of data transformations, modeling, validation, and production workflows
• Familiarity with Agile or iterative delivery methodologies and cross-functional collaboration
• High attention to detail and ownership of release quality, timelines, and stakeholder expectations
• Excellent communication and stakeholder management skills; adept at translating between technical execution and business priorities
• Experience with operational tooling (e.g., Jira, Confluence, automated validation or reconciliation systems)
• Ability to scale and refine delivery processes over time, driving continuous improvement in production maturity