Specialist, Artificial Intelligence & Advanced Analytics

L3Harris•Palm Bay, FL

5d•Hybrid

About The Position

This position is responsible for identifying, implementing, and sustaining AI-powered solutions and intelligent automation capabilities that improve business operations across the enterprise. This role sits within an Operations function and focuses on applying artificial intelligence, data, and process automation to drive operational efficiency, improve decision-making, reduce manual work, and enhance business performance. The selected candidate will work closely with Operations, IT, software application development, data engineering, and business stakeholders to translate operational needs into practical, scalable, and secure solutions. This role combines operational process knowledge, analytical problem-solving, and technical fluency to enable the successful deployment of AI tools, workflow automation, and data-driven operational improvements.

Requirements

Bachelor's Degree in Business, Operations Management, Industrial Engineering, Industrial Engineering, Information Systems, Data Analytics, Supply Chain, Computer Science with 4 years prior experience, 2 year post-secondary/AA Degree and 8 years prior experience or Graduate Degree with 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
Experience with Palantir Foundry or similar operational data/application platforms
Familiarity with intelligent automation, workflow orchestration, or robotic process automation tools
Experience supporting AI-enabled business processes or operational decision-support tools
Knowledge of process mapping, value stream analysis, Lean, Six Sigma, or continuous improvement methodologies
Familiarity with agentic AI concepts, prompt design, vector search, or retrieval-augmented knowledge solutions
Experience developing dashboards or operational reporting tools using Power BI, Tableau, or similar platforms
Exposure to change management, user adoption, and business readiness activities for digital transformation initiatives
Experience working in manufacturing, supply chain, shared services, program operations, or enterprise operations environments

Nice To Haves

Experience with Palantir Foundry or similar operational data/application platforms
Familiarity with intelligent automation, workflow orchestration, or robotic process automation tools
Experience supporting AI-enabled business processes or operational decision-support tools
Knowledge of process mapping, value stream analysis, Lean, Six Sigma, or continuous improvement methodologies
Familiarity with agentic AI concepts, prompt design, vector search, or retrieval-augmented knowledge solutions
Experience developing dashboards or operational reporting tools using Power BI, Tableau, or similar platforms
Exposure to change management, user adoption, and business readiness activities for digital transformation initiatives
Experience working in manufacturing, supply chain, shared services, program operations, or enterprise operations environments

Responsibilities

Identify operational inefficiencies, manual processes, and business pain points that can be improved through AI, automation, and data-driven solutions
Partner with Operations leaders and cross-functional stakeholders to define use cases, requirements, business value, and implementation priorities
Support the design, implementation, and sustainment of AI-enabled tools and automation solutions that improve operational performance
Work within Palantir Foundry or similar platforms to develop operational workflows, dashboards, data-driven applications, and decision-support tools
Translate business and operational requirements into functional specifications for software, data, and AI solution teams
Support deployment of LLM-based applications and generative AI capabilities for operational use cases such as knowledge retrieval, summarization, workflow support, task execution, and decision augmentation
Help implement agentic AI and intelligent automation solutions that can execute repeatable operational tasks, interact with enterprise systems, and support business processes
Coordinate with technical teams to enable required data pipelines, integrations, APIs, and workflow connections needed to support operational AI use cases
Monitor solution adoption, process performance, user feedback, and business outcomes to ensure delivered capabilities achieve intended operational value
Define, track, and report key operational metrics related to cycle time, throughput, productivity, quality, automation effectiveness, and cost savings
Support user acceptance testing, operational validation, business readiness activities, and deployment planning for new tools and capabilities
Develop standard work, operating procedures, training materials, and user documentation to support successful adoption and sustainment of operational solutions
Ensure solutions align with operational requirements, cybersecurity policies, data protection standards, and responsible AI practices
Serve as a liaison between Operations and technical teams to ensure business priorities are clearly understood and effectively executed
Support continuous improvement initiatives by identifying enhancement opportunities, process standardization needs, and scalability considerations
Assist in troubleshooting operational issues related to deployed AI and automation capabilities and coordinate resolution with technical support teams
Contribute to change management, communications, and stakeholder engagement activities to drive adoption of new ways of working
Evaluate emerging AI and automation capabilities for potential operational application and business impact
Participate in agile or project-based execution processes, including planning, reviews, status tracking, and cross-functional coordination
Identify implementation risks, operational constraints, and change impacts, and recommend mitigation strategies
Stay current on trends in AI, automation, and operational excellence and apply relevant best practices to business needs