Associate Data Program Manager

6 days ago

Richmond, VA, United States HCL Global Systems Full time
Key Responsibilities:
  • Assist in the planning, execution, and ongoing management of the enterprise data program.
  • Develop and maintain detailed program schedules, including tasks, milestones, and deadlines.
  • Monitor program progress and ensure timely completion of deliverables.
  • Coordinate with cross-functional teams to ensure program requirements are met.
  • Collaborate with master data analysts and enterprise data stewards to develop and implement data management strategies.
  • Manage and coordinate the activities of master data analysts.
  • Oversee the maintenance and improvement of data infrastructure and tools.
  • Serve as the primary point of contact for program stakeholders.
  • Prepare and distribute regular program status reports to senior management and stakeholders.
  • Facilitate program meetings, including agenda preparation, minute taking, and follow-up on action items.
  • Ensure program documentation is complete, current, and stored appropriately.
  • Monitor processes to ensure program deliverables meet established standards.
  • Conduct program reviews and identify areas for improvement.
Qualifications:
  • Bachelor's degree in data management, Business Administration, Program Management, or a related field.
  • Minimum of 5 - 6 years of experience in program coordination, preferably in enterprise data programs.
  • Proficiency in program management software (e.g., MS Project).
  • Strong understanding of data management principles and practices.
  • Excellent organizational, time-management, and multitasking skills.
  • Strong verbal and written communication skills.
  • Ability to work independently and as part of a team.
  • Detail-oriented with a focus on quality and accuracy.
  • PMP or similar program management certification is a plus.
Preferred Skills:
  • Experience with data governance frameworks and best practices.
  • Knowledge of data privacy regulations and compliance.
  • Familiarity with data analytics and business intelligence tools (e.g., SQL, Python, R).
  • Ability to adapt to a fast-paced and dynamic work environment.

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