About The Position

The Senior Manager, Data Management Operations, leads day-to-day operational activities for the Security Reference team within Global Data Services (GDS), part of Fidelity Fund and Investment Operations. The role oversees workload distribution to help ensure assignments are equitable, appropriately challenging, accurate, and timely. The Senior Manager works with business partners to resolve complex data inquiries while providing a high level of customer service, and collaborates across GDS, technology, customers, business, and systems partners to plan and prioritize operational projects and manage team efforts from start to finish. The role is responsible for data quality, operational efficiency, and risk management; developing and maintaining policies, procedures, and operational controls; driving process improvements; analyzing and validating data with database queries; and leading cross-functional projects. It also includes people leadership responsibilities such as hiring, coaching, and performance management, and representing the team in product forums and industry initiatives. The Security Reference team manages critical investment reference data supporting trading, accounting, compliance, performance, and analytics across Fidelity. Fidelity is transitioning toward a full-time onsite working model through a phased rollout across regions and roles; onsite expectations vary by role and location and may evolve. Fidelity will not provide immigration sponsorship for this position. Hiring and association may be restricted for individuals with certain criminal histories under applicable laws and regulations.

Requirements

  • Bachelor’s degree in Business, Finance, or a related field.
  • Financial services experience, preferably within reference data, market data, or investment operations.
  • Proven experience leading teams and managing operational or strategic projects.
  • Leadership experience coaching and developing teams of 8 or more associates.
  • Ability to lead cross-functional initiatives and drive outcomes in a dynamic environment.
  • Strong analytical, problem-solving, and decision-making skills.
  • Experience with SQL and data analysis tools.
  • Knowledge of data management, data quality, data modeling, and data visualization concepts.
  • Strong organizational and project management skills, including the ability to manage competing priorities and tight deadlines.
  • Excellent communication skills, including the ability to simplify complex issues for diverse audiences.
  • Collaborative, adaptable, motivated, and committed to continuous improvement.

Nice To Haves

  • Bloomberg experience.
  • CusipWeb experience.

Responsibilities

  • Lead day-to-day operations, ensuring data quality, operational efficiency, and risk management.
  • Manage workload distribution, balancing team capacity, priorities, and development opportunities.
  • Partner with business, technology, and operations teams to resolve complex data issues and deliver data solutions.
  • Develop and maintain policies, procedures, and operational controls.
  • Drive continuous improvement initiatives and recommend process enhancements.
  • Lead and support cross-functional projects from planning through execution.
  • Analyze and validate data using database queries to resolve client and operational issues.
  • Represent the team in product forums and industry initiatives to identify emerging trends and opportunities.
  • Manage people leadership activities, including hiring, coaching, and performance management.
  • Work with business partners to resolve complex data inquiries and provide a high level of customer service.
  • Plan and prioritize operational projects and manage team efforts end-to-end.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service