Data Analytics Lead

Data Analytics Lead

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Outside Continental US

Anticipated Posting End: 4/28/2025

Job Description:

CACI Special Intelligence Mission Systems, the company and partner mission and enterprise customers depend upon to provide differentiated technology and expertise, is seeking an experienced Enterprise Data Analytics Lead to support our enterprise mission operations program.

Why you should join our mission:  

CACI's team of professionals are mission and thought leaders executing all phases of a globally dispersed operations contract. We develop, implement, evaluate, and maintain innovative, comprehensive mission plans to satisfy U.S. Government collection requirements. CACI’s subject matter experts act as a focal point for the operational aspects of tasked requirements and partner with the customer to evolve mission capabilities, tactics, techniques, and procedures to assure positive mission outcomes.

What You’ll Get to Do:  

Perform data information management, operations research, decision support systems, management information systems and coordination activities ensuring information accuracy across geographically dispersed mission locations in support of Government mission operations. Lead a highly dedicated, outcome-focused team executing a key customer mission. As the Enterprise Data Analytics Lead you are responsible for:

• Employing digital data management (Digital Engineering) to reduce data redundancy and improve data production and reporting timeliness and accuracy
• Delivering and maintaining a staffing database
• Developing and delivering contract data requirement list artifacts
• Maintaining close communications with the Government contract and technical representatives
• Working collaboratively and cooperatively with the Government and associate contractors
• Improving contract and mission performance through data-driven innovation and process improvement initiatives
• Implementing and leading standard and repeatable processes (process rigor)
• Mentoring and developing the team to achieve mission, program, professional, and personal goals

You’ll Bring These Qualifications:  

• Active TS/SCI clearance with polygraph
• BA/BS degree in a related scientific field (Data Science, Statistics, Mathematics, Applied Mathematics, etc.) and a minimum of 10 years professional experience
• Formal training in data science
• Minimum ten years of experience supporting Intelligence Community customers
• Minimum seven years of experience in data systems management or a related field
• Experience supporting 24/7 operational environments
• A great attitude, enjoy working with talented coworkers, and demonstrate an aptitude to learn and continuously improve
• Servant leader mindset to empower the team

At the interview, we’d like to tell you about: 

• The team and our mission 
• The contract, program structure, and our customers 
• Our vision for an effective, successful, and engaged Enterprise Data Analytics Lead
• How incredibly awesome our benefits are 

At the interview, we’d like to hear about:  

• Your experience employing Digital Engineering to improve mission performance
• Your technical strengths and areas of interest
• Your experience with any of the following:
• Operations and sustainment
• Program execution processes outside of agile software development – e.g. Financial Management/Cost accounting, HR Systems and Processes, Engineering Change Proposals
• Your passion for working with teams solving tough technical problems, removing roadblocks, and leading to maximize team potential while not causing burn out
• Your thoughts on team dynamics and what makes teams successful
• Experiences you have with government contracting and customer facing roles

At the interview, we will look for:  

• The attitude, aptitude, and drive to maintain, develop, and grow an amazing team
• A dedication to continuous improvement
• Unique knowledge and experience you bring to the team
• Strong communication and collaboration skills
• The ability to effectively prioritize and execute tasks and escalate issues and roadblocks
• Eagerness to learn, promote, and mentor best practices

 

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