GDIT is seeking a results-driven Delivery Manager to lead our data workstream, with a specific focus on data migration and synchronization efforts for the FDA.

This position requires a hands-on leader who can guide technical teams, engage directly with stakeholders, and ensure smooth execution across all phases of delivery. The ideal candidate is experienced in managing complex data projects, thrives in collaborative environments, and brings structure to ambiguity. A strong understanding of data management concepts, SQL, and emerging technologies including AI/ML is essential to succeed in this role.

This role is hybrid, with a 3 day onsite requirement in Silver Spring, MD, Gaithersburg, MD, and/or Falls Church, VA.

Key Responsibilities:

Lead and manage the delivery of data migration and synchronization activities within a broader modernization program.

Serve as the primary point of contact for internal teams and client stakeholders regarding data-related project efforts.

Oversee project timelines, deliverables, risks, and resource planning across multiple teams and vendors.

Track and report status, issues, and risks to senior leadership and client sponsors in a clear, actionable manner.

Collaborate with technical leads, data architects, and analysts to ensure alignment with the data strategy and integration plans.

Coordinate with cross-functional teams to remove roadblocks and maintain delivery momentum.

Support change management and ensure alignment of migrated and synchronized data with evolving business needs.

Document key decisions, integration points, and lessons learned throughout the project lifecycle.

Interpret and analyze data using SQL, and provide input into design decisions that ensure high-quality data outcomes.

Facilitate discussions around data architecture, data pipelines, and integration best practices, ensuring technical solutions align with business needs.

Stay abreast of trends in AI/ML and data automation, and help evaluate their applicability within the project scope.

Required Qualifications:

Bachelor’s degree in Information Technology, Business, or related field (or equivalent experience).

8+ years of project/delivery management experience, including at least 3 years managing data-centric projects.

Proven experience leading data migration and/or data sync initiatives in enterprise or government environments.

Proficiency with SQL to query and validate data as part of project oversight.

Experience with data concepts such as data modeling, data quality, metadata, and lineage.

Experience to bridging the gap between business requirements and technical solutions.

Experience working with Agile or hybrid delivery methodologies.

Ability to obtain and maintain a Public Trust with residency in the US 3 out of the last 5 years.

Preferred Qualifications:

Prior experience working with federal health agencies (e.g., FDA, NIH, CMS).

Familiarity with data governance, ETL tools, cloud-based data platforms, and master data management (MDM) concepts.

Awareness of AI/ML concepts in the context of data engineering and predictive analytics, with the ability to collaborate with data science teams.

Strong organizational and communication skills, including experience interfacing with clients and executive stakeholders.

PMP, CSM, or similar delivery/project management certifications.

Strong understanding of risk management and mitigation planning in data-intensive environments.

Demonstrated ability to lead with empathy and foster collaborative team environments.

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