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.

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