Lead, Data Architect

Harris Geospatial Solutions; Salt Lake City (UT); On-site; USD 120,000 - 170,000; Full time

Job summary

L3Harris Technologies is seeking an experienced Lead Data Architect / AI/ML Solutions professional to translate business needs into scalable data and analytics solutions from stakeholders and technical teams.

The role emphasizes analytics, AI/ML initiatives, and collaboration with data scientists, engineers, and IT partners to drive impactful business outcomes. Strong communication and governance are essential to success.

Qualifications

• Bachelor’s degree in data science, CS, math, or engineering with 9+ years of 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.

Responsibilities

• Gather business requirements from stakeholders across functions and document analytical needs.
• Assist in evaluating data, analytics, and AI/ML approaches aligned with business requirements.
• Collaborate with data scientists, engineers, and IT partners to implement AI/ML solutions.
• Manage project timelines, resources, and deliverables for timely deployment of AI/ML solutions.
• Participate in validation, testing, and governance to ensure performance and data quality.

Skills

Stakeholder communication

Cross-functional collaboration

Project management

Analytics insights

AI/ML concepts

Problem-solving

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering

Tools

Python

R

SQL

AWS bedrock

Azure Foundry

Confluence

Jira

C#

HTML

Job description

L3Harris 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. L3Harris 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.

L3Harris 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 problem-solving skills and a proactive approach to identifying and addressing business challenges.
• Experience with programming languages and tools commonly used in AI/ML workflows (e.g., Python, R, SQL).
• Coding experience with C#, Visual Basic .NET, JavaScript, XML, HTML, CSS is a plus, but not required.
• Knowledge of ANSI SQL and data manipulation/query development.
• Experience with cloud-based AI/ML platforms (e.g., AWS bedrock, Azure Foundry, etc.).
• Open-source AI/ML solutions (various)
• Experience with Agile software development (i.e., Jira and Confluence)
• Experience in government, defense, or a related regulated sector
• Relevant certifications in data, analytics, cloud, or project delivery are beneficial.

WORK ENVIRONMENT

• Collaborative and dynamic environment with opportunities for professional growth.
• Occasional travel to meet with business stakeholders or attend industry events.

#LI-CD1

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

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