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Lead, Data Architect with Security Clearance

Job in Salt Lake City, Salt Lake County, Utah, 84101, USA
Listing for: L3Harris Technologies
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Job Description & How to Apply Below
L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3

Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:

Lead, Data Architect
Job Code: 41482

Job Location:

Salt Lake City, Utah

Job Schedule:

9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) POSITION DESCRIPTION As a member of the Data Analytics team, you will support efforts to solve important business problems, help internal departments make informed decisions, and deliver analytical insights to the business. We are seeking an experienced Data Architect / AI/ML Solutions professional who can work closely with business stakeholders and technical teams to translate business needs into effective data and analytics solutions.

The ideal candidate will have experience supporting analytics, AI/ML, and data solution initiatives, with strong skills in stakeholder communication, requirements gathering, solution development, and cross-functional collaboration. This individual will be responsible for understanding business requirements, identifying opportunities to apply data, analytics, and AI/ML technologies, and contributing to the design and implementation of solutions that support business objectives. ESSENTIAL FUNCTIONS
* Business Requirement Gathering

* Engage with stakeholders across business functions to gather, understand, and document analytical and data-related needs.

* Participate in workshops and meetings to help translate business requirements into functional and technical specifications.

* Solution Mapping and Design

* Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements.

* Contribute to the design of scalable and practical analytics solutions that support business goals.

* Collaboration and Communication

* Work closely with data scientists, data engineers, and IT partners to ensure successful implementation of AI/ML solutions.

* Communicate technical concepts, solution options, and expected outcomes to both technical and non-technical stakeholders.

* Project Management:

* Manage project timelines, resources, and deliverables to ensure the timely and successful deployment of AI/ML solutions.

* Provide regular updates to stakeholders and ensure alignment throughout the project lifecycle.

* Quality and Validation

* Participate in validation, testing, and review of analytics and AI/ML solutions to ensure they meet business and performance requirements.

* Support data quality, consistency, and governance practices within assigned solutions.

* Technology Awareness

* Stay informed about the latest developments in AI/ML technologies and industry best practices.

* Assess new tools and technologies for potential application within the organization. REQUIRED QUALIFICATIONS (ONE OF THE FOLLOWING)
* Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or related field and minimum 9 years of prior relevant experience.

* Graduate Degree and a minimum of 7 years of prior related experience.

* In lieu of a degree, minimum of 13 years of prior related experience. PREFERRED ADDITIONAL SKILLS
• Experience in data science, advanced analytics, data analysis, or related role.
• Strong knowledge of AI/ML concepts and common models such as regression, classification, clustering, and deep learning.
• Proven experience in requirement gathering, solution design, and project management.
Strong communication skills with the ability to convey technical concepts to non-technical audiences.
• Strong…
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