Lead, Data Architect; AI
Listed on 2026-02-28
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IT/Tech
AI Engineer, Data Analyst, Data Scientist, Data Science Manager
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 (AI)
Job Code: 34481
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)
PositionDescription:
As a member of the Data Analytics team, you will focus on solving critical company problems, helping internal departments make intelligent choices, and advanced insights into the business. We are seeking a seasoned AI/ML Solutions Architect with a unique blend of experience in managing both business programs and data science teams. This individual will act as the linchpin between our business units and the data science team, ensuring seamless integration of business requirements with advanced analytical solutions.
The ideal candidate will have a proven track record of driving business value through the strategic application of AI/ML technologies, combined with exceptional skills in stakeholder management, solution design, and project execution. This individual will be responsible for understanding business requirements, identifying opportunities for applying AI/ML technologies, and designing solutions that leverage advanced analytics to drive business value.
- Business Requirement Gathering:
- Engage with stakeholders across various business units to gather, understand, and document their analytical needs and challenges.
- Conduct workshops and meetings to elicit requirements and translate them into technical specifications.
- Solution Mapping and Design:
- Evaluate and identify the most suitable AI/ML models and technologies that align with business requirements.
- Propose and design analytics solutions, ensuring they are feasible, scalable, and aligned with business objectives.
- Collaboration and Communication:
- Work closely with data scientists, data engineers, and IT teams to ensure the successful implementation of AI/ML solutions.
- Communicate complex technical concepts and the potential impact of AI/ML solutions to 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 Assurance:
- Oversee the validation and testing of AI/ML models to ensure they meet business requirements and performance standards.
- 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.
- Bachelor’s Degree 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.
Skills:
- Bachelor’s or master’s degree in data science, Computer Science, Mathematics, Engineering, or a related field.
- 5+ years of experience in data science, advanced analytics, data analysis, or related role.
- Strong knowledge of AI/ML capabilities and common models (e.g., regression, classification, clustering, deep learning).
- Proven experience in requirement gathering, solution design, and project management.
- Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
- Strong problem-solving skills and a proactive approach to identifying and…
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