Data Manager

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

MBI (T2)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Databricks Platform, Data Management, Data Quality, Delivery Management, Structured Query Language (SQL)

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking a dynamic and experienced Data Manager to guide and oversee critical data initiatives, specifically focused on data migration and synchronization efforts for a major federal health client.

This role requires demonstrated hands-on technical experience within the last 3 years and the ability to lead a team of data technologists towards successful project delivery. The ideal candidate will have expertise with Databricks, strong organizational and communication skills, and the ability to bridge technical and business needs seamlessly.

This role requires 3-days a week onsite in Gaithersburg, MD. However, candidates who live outside of a 50-miles radius from Gaithersburg, MD and meet all the qualifications will be considered for a remote role.

Key Responsibilities:

• Leadership & Team Management:
  • Lead and manage a team of data technologists, including data architects, engineers, and analysts, ensuring alignment with project goals and technical strategy.
  • Foster collaboration and support technical skill development within the team.
• Delivery Oversight:
  • Manage and oversee the successful delivery of data migration and synchronization activities as part of an enterprise-wide modernization initiative.
  • Oversee project timelines, deliverables, risks, and resource planning across technical teams and vendors.
  • Track and report status updates, issues, and risks to senior leadership and client sponsors.
• Technical Collaboration:
  • Collaborate with the team on data pipeline development, integration points, and architecture.
  • Ensure best practices for data modeling, data quality, lineage, and metadata management are aligned with the overall data strategy.
  • Support the implementation of Databricks and its ecosystem for batch and streaming data pipelines.
• Hands-On Technical Contribution:
  • Actively engage in technical analyses and troubleshooting efforts.
  • Use SQL and Databricks to query, transform, and analyze data as part of quality validation processes or solution design.
  • Provide input into architectural decisions that align technical solutions with business needs.
• Stakeholder Engagement:
  • Serve as the primary point of contact for internal and client stakeholders regarding data initiatives.
  • Communicate technical concepts clearly to non-technical audiences, such as executives or client representatives.
• Emerging Technology Awareness:
  • Stay informed on trends in AI/ML and data automation, identifying opportunities to incorporate innovative solutions into project delivery.

Required Qualifications:

• Bachelors and 8+ years of experience managing delivery efforts, including at least 3 years leading teams in data-specific projects.
• Proven hands-on technical experience within the last 3 years, ideally in data engineering or data analytics roles.
• Proficiency in SQL for data querying, analysis, and troubleshooting.
• Experience implementing and working with Databricks for data pipelines and advanced analytics capabilities required.
• Demonstrated ability to lead and mentor technical teams effectively.
• Strong understanding of data migration, synchronization processes, and integration techniques in enterprise or public-sector environments.
• Experience working with Agile, hybrid, or traditional d