AI Solutions Analyst Lead

The Mosaic Company • Tampa, FL

1d

About The Position

The AI Solution Lead Analyst is a senior, hands-on leader in Mosaic’s AI Office who guides a team in turning high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial, and Corporate functions. Working with data scientists, AI/ML engineers, product owners, and business process owners, this role leads technical execution and ensures high-quality delivery of generative AI, computer vision, machine learning, and optimization solutions built on Mosaic’s Microsoft Azure–based enterprise AI platform. The role combines hands-on development support with leadership in applying architectural standards, enforcing code quality, promoting responsible AI and engineering best practices, and developing team members.

The role leads end-to-end AI solution delivery from discovery and data readiness through prototyping, production, and adoption. It guides solution design, development, configuration, and testing; partners with data and analytics teams; ensures trusted, AI-ready data; and translates model outputs into business-ready insights. It also supports developers and analysts, reviews code and solutions, establishes evaluation approaches, advances test automation and CI/CD, tracks adoption and business value, and proactively addresses technical debt.

The position collaborates with Product Owners, Global Process Owners, business SMEs, other Tech Leads and Architects, IT partners, and external technology partners. It participates in Agile ceremonies, aligns dependencies and shared components, and leads solution reviews, governance approvals, and production readiness. The role also leads, manages, develops, and coaches onshore and offshore AI delivery team members, sets goals, provides feedback, and manages performance in accordance with Mosaic’s review process.

Requirements

• Associate’s degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems, or a related area.
• 7+ years of experience working with information technologies and systems analysis.
• Strong knowledge of business processes and how data and software applications support those processes.
• Proven ability to assess business needs and translate them into relevant solutions.
• Strong understanding of principles and practices associated with packaged and/or SaaS applications.
• Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
• Hands-on experience leading delivery of AI/ML or generative AI solutions, such as prompt design, agents, retrieval-augmented generation, or machine learning models, from prototype to production in a business setting.
• Strong proficiency in estimation and planning.
• Ability to anticipate and understand business strategies, objectives, and priorities.
• Strong verbal, written, listening, and presentation communication skills.
• Highly organized, with strong organizational and planning skills and attention to detail.
• Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with technical and business teams.
• Ability to build effective partnerships with employees at all organizational levels.
• Strong leadership with a hands-on, lead-by-example approach.
• Excellent interpersonal and teamwork skills.
• Ability to adapt to a continually changing business and work environment and manage multiple priorities.
• Demonstrated critical-thinking and decision-making skills.
• Excellent analysis and problem-solving skills.
• Ability to provide oversight across multiple initiatives or projects.
• Ability to handle confidential and sensitive information.
• Ability to explain AI concepts, limitations, and risks to non-technical audiences and senior stakeholders.
• Strong understanding of responsible AI principles, data privacy, and AI governance.
• Proficiency with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio, and Project.
• Working knowledge of Python and SQL for data analysis and AI solution development.
• Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric, and Azure DevOps.
• Specific technology as required by the functional area, such as SAP, Workday, or Salesforce.

Nice To Haves

• Bachelor’s degree preferred.
• Knowledge of Agile methodologies and frameworks such as Kanban.
• Experience with agent frameworks and protocols.
• Experience with computer vision, predictive modeling, or mathematical optimization use cases.
• Experience in mining, manufacturing, supply chain, or procurement environments.
• Ability to coordinate or manage offshore teams.
• Experience with AI-assisted development tools such as GitHub Copilot.
• Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot.
• Experience with APIs and data integration with enterprise systems such as SAP.

Responsibilities

• Lead end-to-end AI solution delivery from discovery and data readiness through prototype, production, and adoption, aligning with architecture standards and business requirements.
• Guide the design, build, configuration, and testing of generative AI agents, machine learning, computer vision, and optimization solutions on Mosaic’s Microsoft Azure–based enterprise AI platform.
• Partner with data and analytics teams to ensure trusted, AI-ready data from enterprise systems and translate model outputs into business-ready insights.
• Ensure consistent use of coding standards, design patterns, responsible AI practices, and security practices to deliver scalable, maintainable, and secure solutions.
• Support developers and analysts by resolving technical blockers and providing guidance on implementation strategies.
• Conduct code and solution reviews and define evaluation approaches to meet quality, performance, and cost targets.
• Champion test automation, continuous integration, and continuous delivery (CI/CD) within the team.
• Track adoption and business value of delivered AI products and ensure technical debt is identified and addressed proactively.
• Promote technical excellence and continuous improvement, stay current on emerging AI capabilities, and share knowledge across the AI Office.
• Participate in and help facilitate Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
• Work with the Product Owner and Global Process Owners/business SMEs to understand requirements, map current and future workflows, define success criteria and KPIs, and ensure technical feasibility.
• Coordinate with other Tech Leads and Architects on cross-team dependencies and shared components.
• Collaborate with IT partners and external technology partners to lead solution reviews, governance approvals, and production readiness.
• Lead, manage, develop, and coach the AI delivery team, including onshore and offshore resources.
• Provide timely, constructive employee feedback; clarify work, roles, and responsibilities; set goals and ensure they are met; and manage performance under Mosaic’s performance review process.

Benefits

• Competitive base salary and bonus incentives
• 11 paid holidays each year
• 401(k) with a company match and annual company contribution
• Paid sick leave
• Paid vacation time
• Medical, dental, and vision insurance
• Life and disability insurance
• Tuition reimbursement
• Paid paternity/maternity leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree