Regional Analytics Team Lead

Job Title: Regional Analytics Team Lead

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 25%

Type of Travel: Continental US

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The Opportunity:
CACI is hiring a Regional Analytics Team Lead to join our team on an upcoming program supporting the Defense Intelligence Agency (DIA).  As the Regional Analytics Team Lead you will serve as the senior manager and technical lead for contractor personnel supporting this critical innovation‑driven team.

The Regional Analytics Team’s focus is to modernize analytic methodologies, integrate advanced data sources, and develop new analytic capabilities that improve operational and strategic decision‑making across DIA and mission partners. In this role, you will guide teams conducting complex quantitative, analytic, and decision‑support tasks, ensuring the development and delivery of high‑quality, mission‑relevant analytic solutions. You will also establish and manage the standards that ensure products meet DIA’s analytic tradecraft standards and effectively support leadership’s operational and planning requirements. 

*This position is contingent upon program award.

Responsibilities:

• Lead, manage, and mentor contractor personnel supporting DIA, ensuring quality, accuracy, and timeliness across all analytic innovation tasks.

• Provide senior‑level expertise in mathematical modeling, simulation, data mining, statistical analysis, machine‑assisted analytics, and quantitative decision support.

• Develop, oversee, and execute complex analytical projects independently while providing direction and quality control for team‑generated products.

• Manage program efforts to integrate multi‑source data, including structured, unstructured, open‑source, and technical data, into analytic models and decision frameworks.

• Design and implement analytic solutions that support operational planning, strategic assessments, and performance evaluation of intelligence processes.

• Provide decision‑support products and analytic recommendations to senior leadership, including assessments of alternatives, risk analyses, and operational impact studies.

• Establish and optimize intelligence workflows, production processes, and analytic methodologies to improve efficiency and mission effectiveness.

• Coordinate team efforts across IC and DoD stakeholders to synchronize analytic modernization efforts, share best practices, and ensure interoperability of analytic tools and methods.

• Lead analytic experimentation, prototyping, and the integration of new tools, technologies, and data sources into operational workflows.

• Oversee onboarding, readiness, training, and performance management of contractor personnel assigned to the team throughout period of performance.

Qualifications:

Required:

• Active TS/SCI security clearance

• 6–12+ years of experience (mid‑ to senior‑level) in quantitative analysis, data science, operations research, intelligence analysis, modeling and simulation, or related analytic domains

• Demonstrated expertise in mathematical modeling, simulation, data mining, statistical analysis, and multi‑source data integration

• Experience designing or implementing analytic methods to support operational planning, intelligence production, or decision‑support processes

• Proven ability to lead multi‑disciplinary analytic teams conducting complex modeling, quantitative assessments, or innovation‑focused analytical work

• Experience independently completing complicated or complex analytic tasks in a national security, DoD, or IC mission environment

• Strong understanding of analytic tradecraft, data sourcing, analytic validation, and production standards

• Must have excellent written and verbal communication skills, including experience producing or reviewing high‑visibility analytic and decision‑support products

Desired:

• PMP certification or equivalent project/program management credential

• Experience supporting analytic modernization, data science initiatives, or advanced analytic tool integration within the IC or DoD

• Familiarity with operations research, decision theory, machine‑learning–based analytics or applied statistical modeling

• Experience leading analytic teams through experimentation, prototyping, workflow redesign, or analytic process improvement

• Programming or analytic tool proficiency (e.g., Python, R, MATLAB, statistical modeling platforms, data visualization tools)

• Experience evaluating analytic performance, process optimization, or model verification/validation

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$120,800 - $265,800