Cloud Consulting Lead

Description

SAIC is seeking a Cloud Consulting Lead to support the Administrative Office of the U.S. Courts (AOUSC/AO) Cloud Technology Broker Integration Partner (CTBIP) contract. This position will provide services to build cloud foundations for the Judiciary, including cloud advisory/strategy and implementation services.

This position is contingent upon contract award anticipated for May/June 2026 with a June/July 2026 start date.

This role must be performed in the United States and will be remote. There may be occasional travel to customer site in Washington, DC.

Responsibilities

• Advise senior-level executives on cloud computing and digital transformation strategies.
• Provide in-depth recommendations for optimizing cloud environments to drive business objectives.
• Assess client business needs and design innovative, scalable, and cost-effective cloud solutions.
• Ensure alignment of suggested technology strategies with organizational goals.
• Oversee cloud adoption projects from design to implementation, ensuring project success.
• Act as a trusted advisor to senior IT and director-level stakeholders.

Qualifications

Required Qualifications

• Bachelor’s Degree and 15 years of relevant professional experience
• Proven expertise in assessing business needs and designingscalable cloud solutions.
• Strongcommunication skillsfor effective client engagement and presentations.
• Must be able to obtain and maintain a Public Trust

Desired Qualifications

• Cloud-related certifications (e.g., AWS, Azure, Google Cloud).
• Lean Six Sigma,Organizational Change Management (OCM), orFinOpscertifications.
• Exposure to process improvement frameworks likeLean Six Sigma.
• Experience withOrganizational Change Management (OCM)strategies to ensure seamless transitions during cloud migration.
• Knowledge ofFinOpsstrategies to assist clients in achieving cost savings or optimization.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.