Project Manager – Data & Analytics Program

Project Manager – Data & Analytics Program

Category: Project Management

Main location: United States, Virginia, Arlington

Position : J

Employment Type: Full Time

Position

Description:

CGI Federal is seeking a Project Manager to oversee and coordinate reporting, analytics, and organizational change management (OCM) activities for a large-scale data modernization program. This role requires a blend of project management expertise, technical understanding of Power BI and Azure Databricks, experience with user adoption strategies, and familiarity with financial data (especially Momentum financial systems). The ideal candidate can bridge technical and business teams, ensuring reporting deliverables, data products, and adoption activities are delivered on time, within scope, and aligned with mission needs.

This position is located in Arlington, VA.

• Lead and manage reporting and analytics work streams, ensuring timely delivery of Power BI dashboards, Databricks-based data products, and program reporting outputs.
• Coordinate and manage OCM activities supporting user adoption, communication, stakeholder engagement, and training.
• Serve as the central point of contact for reporting requirements, prioritization, and stakeholder alignment.
• Work closely with data engineers, analysts, and business SMEs to ensure reporting and data pipeline requirements are clearly defined and executed.
• Oversee project schedules, risks, issues, dependencies, and deliverables across multiple technical and functional teams.
• Support development and management of reporting standards, data quality practices, and user adoption metrics.
• Facilitate project governance, status reporting, executive updates, and program documentation.
• Collaborate with finance and accounting stakeholders to ensure accurate interpretation of Momentum financial data and reporting structures.

• 2+ years of experience in project management, reporting program management, or data/analytics delivery leadership.
• Hands‑on experience with Power BI (workspace organization, report lifecycle, user adoption, requirements gathering).
• Familiarity with Azure Databricks or modern data engineering and analytics platforms.
• Experience leading OCM efforts including stakeholder engagement, communication planning, and change readiness activities.
• Proven ability to coordinate cross‑functional teams and manage complex technical programs.
• Strong written and verbal communication skills, including executive‑level reporting.
• Strong understanding of financial data structures with required experience working in federal financial systems, including Momentum or comparable platforms.

• Experience supporting large federal or enterprise‑scale data modernization programs.
• Ability to understand the data engineering process, including data pipelines, transformations, and analytics lifecycle concepts.
• Knowledge of data warehousing, ETL/ELT processes, and reporting lifecycle best practices.
• Experience developing or supporting training materials, job aids, or user adoption plans.
• Familiarity with Azure Synapse, ADF, or broader Azure data services.

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well‑being programs

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The current range for this role in the U.S. is $70,800.00 - $.

• Backlog management
• Business Intelligence
• Client management
• Cloud Computing
• Communication
• Delivery management
• SCRUM

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.