About the role
The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.
At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!
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 the technical execution and ensures high-quality delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's 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.
Team-Level AI Solution Delivery & Technical Leadership
- Lead the end-to-end delivery of AI solutions, from discovery and data readiness through prototype, production and adoption, ensuring alignment with architecture standards and business requirements.
- Guide the design, build, configuration and testing of AI solutions, including generative AI agents, machine learning, computer vision and optimization models, 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 to translate model outputs into business-ready insights.
- Ensure consistent application of coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Actively support developers and analysts by resolving technical blockers and providing guidance on implementation strategies.
- Conduct code and solution reviews and define evaluation approaches to ensure AI solutions 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 a culture of technical excellence and continuous improvement, staying current on emerging AI capabilities and sharing knowledge across the AI Office.
Agile Collaboration
- Participate in and help facilitate Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner and Global Process Owners/business SMEs to understand requirements, map as-is and to-be workflows, define success criteria and KPIs, and ensure technical feasibility.
- Coordinate with other Tech Leads and Architects to align on cross-team dependencies and shared components.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to lead solution reviews, governance approvals and production readiness.
People Leadership:
- Lead, manage, develop and coach the AI delivery team, including onshore and offshore resources.
- Provide timely and constructive feedback on a regular basis to ensure employees have a clear understanding of their work, roles and responsibilities.
- Set goals and ensure that goals are met. Manage performance in accordance with Mosaic’s performance review process.
What you’ll need:
- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 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 and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
- Proven hands-on experience leading the delivery of AI/ML or generative AI solutions (e.g., 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.
- Knowledge of agile methodologies and frameworks such as Kanban preferred
- Experience with agent frameworks and protocols preferred
- Experience with computer vision, predictive modeling or mathematical optimization use cases preferred
- Experience in mining, manufacturing, supply chain or procurement environments preferred
- Strong verbal, written, listening and presentation communication skills.
- Highly organized.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with the technical and the business teams.
- Strong organizational and planning skills as well as attention to detail.
- Ability to effectively work and create effective partnerships with employees at all levels within the organization.
- Strong leader that possesses 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.
- Ability to coordinate / manage offshore teams preferred
- Proficient with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio and Project.
- Specific technology as required by functional area (SAP, Workday, Salesforce, etc.).
- Working knowledge of Python and SQL for data analysis and AI solution development.
- Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric and Azure DevOps.
- Experience with AI-assisted development tools (e.g., GitHub Copilot) preferred
- Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot preferred
- Experience with APIs and data integration with enterprise systems such as SAP preferred
What's in it for you:
- A competitive base salary + bonus incentives
- 11 paid holidays each year
- A generous 401k with a company match and annual company contribution
- Paid sick leave
- Paid vacation time
- A robust benefits package which includes Medical, Dental, and Vision insurance, life & disability
- Tuition reimbursement
- Paid Paternity/Maternity Leave