STEM OPT Solutions Analyst Jobs
Solutions Analyst roles sit squarely within STEM-designated fields, making them a strong fit for F-1 graduates extending their OPT by 24 months. Your employer must be enrolled in E-Verify, and your STEM degree must align with the role's CIP code to qualify for the extension.
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Get Access To All JobsINTRODUCTION
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!
ROLE AND RESPONSIBILITIES
The AI Solution Analyst is a hands-on member of Mosaic's AI Office who helps turn high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working alongside data scientists, AI/ML engineers, product owners and business process owners, this role supports the delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role guides technical execution and ensures high-quality delivery at the team level, combining hands-on development support with leadership in applying architectural standards, enforcing code quality, and promoting responsible AI and engineering best practices.
Team-Level AI Solution Delivery
- Participate in the end-to-end delivery of AI solutions, from discovery and data readiness through prototype and production, collaborating with data scientists, AI engineers and developers to ensure alignment with architecture standards and business requirements.
- Help build, configure and test 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 prepare trusted, AI-ready data from enterprise systems and translate model outputs into business-ready insights.
- Apply established coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Test, evaluate and troubleshoot AI solutions for quality, performance and cost; participate in code reviews, test automation and CI/CD practices, escalating blockers as needed.
- Help track adoption and business value of delivered AI products, document technical debt, and stay current on emerging AI capabilities while sharing knowledge with the team.
Agile Collaboration
- Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner, Tech Leads, 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.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to support solution reviews, governance approvals and production readiness.
BASIC QUALIFICATIONS
- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 3+ years of experience working with information technologies and systems analysis.
- For those candidates without a Bachelor's degree, 5+ years of related experience is required.
- Strong knowledge of business processes, and how data and software applications support those processes.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Hands-on exposure to AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) in a business setting.
- Strong proficiency in estimation and planning.
- Microsoft Azure AI, Azure Data Science or Microsoft Fabric certification (or equivalent) preferred
- Knowledge of agile methodologies and frameworks such as Kanban.
- Exposure with agent frameworks and protocols preferred
- Exposure to computer vision, predictive modeling or mathematical optimization use cases preferred.
- Experience in mining, manufacturing, supply chain or procurement environment preferred
- Strong verbal, written, listening and presentation communication skills.
- Strong interpersonal and teamwork skills
- Highly organized.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with 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.
- Ability to adapt to a continually changing business and work environment and manage multiple priorities
- Demonstrated critical thinking and decision-making skills
- Strong analysis and problem-solving skills
- Ability to handle confidential and sensitive information.
- Curiosity about AI and the ability to explain AI concepts, limitations and risks to non-technical audiences.
- Understanding of responsible AI principles, data privacy and AI governance.
- 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.
PREFERRED QUALIFICATIONS
- Strong knowledge of business processes, and how data and software applications support those processes.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Hands-on exposure to AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) in a business setting.
- Strong proficiency in estimation and planning.
- Microsoft Azure AI, Azure Data Science or Microsoft Fabric certification (or equivalent) preferred
- Knowledge of agile methodologies and frameworks such as Kanban.
- Exposure with agent frameworks and protocols preferred
- Exposure to computer vision, predictive modeling or mathematical optimization use cases preferred.
- Experience in mining, manufacturing, supply chain or procurement environment 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
INTRODUCTION
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!
ROLE AND RESPONSIBILITIES
The AI Solution Analyst is a hands-on member of Mosaic's AI Office who helps turn high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working alongside data scientists, AI/ML engineers, product owners and business process owners, this role supports the delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role guides technical execution and ensures high-quality delivery at the team level, combining hands-on development support with leadership in applying architectural standards, enforcing code quality, and promoting responsible AI and engineering best practices.
Team-Level AI Solution Delivery
- Participate in the end-to-end delivery of AI solutions, from discovery and data readiness through prototype and production, collaborating with data scientists, AI engineers and developers to ensure alignment with architecture standards and business requirements.
- Help build, configure and test 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 prepare trusted, AI-ready data from enterprise systems and translate model outputs into business-ready insights.
- Apply established coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Test, evaluate and troubleshoot AI solutions for quality, performance and cost; participate in code reviews, test automation and CI/CD practices, escalating blockers as needed.
- Help track adoption and business value of delivered AI products, document technical debt, and stay current on emerging AI capabilities while sharing knowledge with the team.
Agile Collaboration
- Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner, Tech Leads, 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.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to support solution reviews, governance approvals and production readiness.
BASIC QUALIFICATIONS
- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 3+ years of experience working with information technologies and systems analysis.
- For those candidates without a Bachelor's degree, 5+ years of related experience is required.
- Strong knowledge of business processes, and how data and software applications support those processes.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Hands-on exposure to AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) in a business setting.
- Strong proficiency in estimation and planning.
- Microsoft Azure AI, Azure Data Science or Microsoft Fabric certification (or equivalent) preferred
- Knowledge of agile methodologies and frameworks such as Kanban.
- Exposure with agent frameworks and protocols preferred
- Exposure to computer vision, predictive modeling or mathematical optimization use cases preferred.
- Experience in mining, manufacturing, supply chain or procurement environment preferred
- Strong verbal, written, listening and presentation communication skills.
- Strong interpersonal and teamwork skills
- Highly organized.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with 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.
- Ability to adapt to a continually changing business and work environment and manage multiple priorities
- Demonstrated critical thinking and decision-making skills
- Strong analysis and problem-solving skills
- Ability to handle confidential and sensitive information.
- Curiosity about AI and the ability to explain AI concepts, limitations and risks to non-technical audiences.
- Understanding of responsible AI principles, data privacy and AI governance.
- 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.
PREFERRED QUALIFICATIONS
- Strong knowledge of business processes, and how data and software applications support those processes.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Hands-on exposure to AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) in a business setting.
- Strong proficiency in estimation and planning.
- Microsoft Azure AI, Azure Data Science or Microsoft Fabric certification (or equivalent) preferred
- Knowledge of agile methodologies and frameworks such as Kanban.
- Exposure with agent frameworks and protocols preferred
- Exposure to computer vision, predictive modeling or mathematical optimization use cases preferred.
- Experience in mining, manufacturing, supply chain or procurement environment 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
See all STEM OPT Solutions Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Solutions Analyst Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Solutions Analyst
Verify your degree's CIP code first
Check that your STEM degree maps to a CIP code on the DHS STEM Designated Degree Program List before applying. Many analytical roles require quantitative or computer science backgrounds, and a mismatch voids your extension eligibility regardless of job fit.
Confirm E-Verify enrollment before interviewing
Search the E-Verify employer database directly to confirm enrollment status before you invest time in a company's hiring process. Solutions Analyst roles at consulting firms and mid-size tech shops are common, but not every one participates in E-Verify.
Use O*NET to frame your technical qualifications
Pull the O*NET occupation profile for Solutions Analyst to identify the specific skills and knowledge areas employers expect. Aligning your resume and cover letter to those descriptors strengthens your case that the role meets the STEM OPT specialty occupation standard.
Start your I-983 training plan before day one
Draft your I-983 with your DSO and hiring manager before your start date, not after. Solutions Analyst positions involve structured project cycles, so mapping your learning objectives to those deliverables now prevents the last-minute scrambles that delay your extension approval.
Find STEM OPT employers on Migrate Mate
Filter Solutions Analyst openings by E-Verify enrollment status on Migrate Mate to reach employers already set up to hire STEM OPT students. That pre-screening removes the awkward discovery conversation mid-offer and keeps your timeline intact.
Time your application around cap-gap protection
If your OPT expires while an H-1B visa petition is pending, cap-gap rules let you keep working through September 30. Understand this window when negotiating start dates, so a delayed hiring decision doesn't inadvertently create a gap in your Solutions Analyst employment authorization.
Frequently Asked Questions
Does a Solutions Analyst role qualify for the STEM OPT extension?
Solutions Analyst positions typically qualify when the role requires applying quantitative, computer science, or engineering principles and your degree's CIP code appears on the DHS STEM Designated Degree Program List. Your DSO will verify the match when endorsing your I-20 for the extension. Roles that involve primarily account management or non-technical client liaison work without an analytical core may not qualify, so confirm the job description aligns before filing.
How do I confirm my employer is enrolled in E-Verify?
Search the E-Verify employer search tool by company name or EIN to confirm active enrollment before accepting an offer. Enrollment status can lapse, so check even if a recruiter tells you the company sponsors visas. USCIS requires your employer to be enrolled in E-Verify for your STEM OPT extension to be valid, and working for an unenrolled employer puts your status at risk.
What goes into the I-983 training plan for a Solutions Analyst position?
Your I-983 must identify specific learning objectives tied to your STEM degree, a supervision structure, and a timeline for evaluating your progress. For a Solutions Analyst, that typically means documenting how your analytical methods, data interpretation, or systems work connects to your field of study. Your employer's direct supervisor must sign the plan, and your DSO must endorse it before your extension begins. USCIS can audit these plans, so vague objectives are a real compliance risk.
What happens to my work authorization if my H-1B is filed but not yet approved when my OPT expires?
Cap-gap protection extends your OPT work authorization automatically through September 30 of the fiscal year when a timely H-1B petition is pending. Your employer must have filed the petition before your OPT end date for cap-gap to apply. You can continue working as a Solutions Analyst during this period, but your employer should be tracking the petition status with USCIS to catch any requests for evidence that could disrupt the timeline.
Where can I find Solutions Analyst jobs where employers are already set up to hire STEM OPT students?
Migrate Mate filters Solutions Analyst openings by E-Verify enrollment status, so you can focus on employers who are already prepared to support your STEM OPT extension rather than spending your first conversation explaining the requirement. This is especially useful when your OPT timeline is tight and you can't afford delays caused by an employer needing to enroll in E-Verify mid-process.