Position Summary

The Data Modernization Lead will guide the Defense programs through the design, implementation, and sustainment of a modern, scalable data ecosystem. This leader will define the data modernization strategy, stand up the modernization team, direct multi-workstream execution, and serve as a trusted advisor to Defense client programs delivering rapid technical recommendations and an integrated cost, schedule, and performance plan for transforming the enterprise data environment.

This individual must possess strong technical depth across data architecture, cloud ecosystems, governance, migration, and modern engineering practices, but will operate primarily as a technical orchestrator. In most cases, they will hire, mobilize, or bring in the right specialists to deliver modernization components-but must also be capable of hands-on contribution when needed to accelerate progress or validate complex solution elements.

Key Responsibilities

1. Strategy Development & Leadership

• Define and maintain a comprehensive Data Modernization Strategy for Defense client programs, aligned to program mission priorities and modernization initiatives.
• Establish and lead the Data Modernization Team, including architecture, engineering, migration, governance, and operational SMEs.
• Develop a phased modernization roadmap using best-practice federal data modernization playbooks.

1. Advisory & Client Engagement

• Serve as Defense client programs primary data advisor, providing rapid technical recommendations and solution options based on evolving needs
• Conduct workshops, technical discovery sessions, and architecture reviews to guide decision-making.
• Coordinate with Defense program leadership, program teams, and partner vendors (Databricks, Palantir, Vantage, etc.).

1. Program Planning - Cost, Schedule & Performance

• Build and maintain the data modernization implementation plan, including cost models, staffing plans, dependencies, risks, and sequencing.
• Define KPIs and integrate quality, monitoring, and governance approaches consistent with program standards.

1. Data Governance

• Establish and operationalize a data governance framework inclusive of roles, policies, stewardship, metadata, lineage, privacy, and security controls.
• Build processes to ensure ongoing data quality, compliance, and risk-based data management.

1. Data Architecture & Migration

• Lead design of the target data architecture supporting multi-cloud, data mesh, and analytics/AI workloads.
• Direct data migration planning and execution, including legacy assessments, mapping, transformation rules, quality remediation, and phased migrations.
• Evaluate platform strategies and recommend the target-state environment (Databricks, WDP, Palantir/Vantage).

1. Training & Change Management

• Develop and deliver training, onboarding materials, and capability-building resources for Defense client programs personnel and program users.
• Support organizational change and adoption of new governance models, tools, and workflows.

1. Operations & Sustainment

• Define the operating model for ongoing data ecosystem support, including SLAs, monitoring, support workflows, and continuous improvement cycles.
• Establish and oversee the Data Support Team responsible for daily operations, troubleshooting, and enhancements.

1. Technical Leadership & Team Orchestration

• Apply strong technical expertise across data strategy, architecture, governance, cloud platforms, and migration to guide solution direction and validate technical decisions.
• Recruit, hire, mobilize, and direct cross-functional technical experts (architects, data engineers, governance SMEs, migration specialists) to deliver modernization workstreams.
• Determine when technical deliverables require direct involvement and contribute hands-on when necessary to accelerate delivery or resolve complex issues.
• Provide ongoing coaching, oversight, and quality assurance across technical work products.
• Ensure all technical outputs meet federal security, interoperability, and performance standards.

Required Qualifications

• Deep expertise in data modernization, cloud architecture, data governance, migration, and enterprise data platforms.
• Ability to lead technical teams without personally producing every deliverable, including hiring and managing specialized technical resources.
• Experience advising federal or DoD organizations on data modernization.
• Strong communication skills, able to translate technical concepts to senior stakeholders.

Preferred Qualifications

• Experience working with Armed Forces or DoD mission data environments.
• Familiarity with multi-cloud data ecosystems (Azure, AWS), Databricks, Palantir, Vantage, and data mesh architectures.
• Experience in RFI/RFP solutioning, ROM development, or multi-workstream program leadership.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:

$148,800-$306,500 USD