Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Mosaic has filed 2 layoff notices in the last twelve months, covering 405 workers, most recently October 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

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 Program Lead is an individual contributor who leads multiple projects across the AI Office portfolio. The role owns planning, governance and day-to-day execution throughout the project life cycle of complex, cross-functional AI and advanced analytics projects, including machine learning models, GenAI solutions and data science initiatives. Working with data scientists, ML engineers, business change managers and functional stakeholders (Operations, Commercial, Supply Chain, Finance, Procurement) across globally distributed teams in the US, Brazil and India, the AI Program Lead provides strategic oversight and reporting to senior management and AI Office leadership, holds teams and partners accountable to agreed-upon deliverables, and drives a culture of execution and accountability so that every initiative progresses from concept to measurable business value.

What you’ll do?

AI Project Planning, Governance & Delivery

Responsible for planning and governance supporting the successful delivery of complex, cross-functional AI and advanced analytics projects — including machine learning models, GenAI solutions, and data science initiatives — via daily project management throughout the project life cycle.

Coordinate the individual projects to define interdependencies and resources needed across the projects — including globally distributed teams (US, Brazil, India) — as well as corrective processes to manage risks and issues.

Hold cross-functional team members, data scientists, engineers, and third-party partners accountable to agreed-upon deliverables, timelines, and quality standards — proactively driving resolution and escalation when commitments are at risk.

Manage the escalation of known risks/issues to the project team and project sponsor, and work through mitigation options to continue progress toward overall project goals/outcomes — with a bias toward decisive action and resolution, not just documentation.

Define and support quality control standards and tracking through project implementation, including AI model performance, data quality, and responsible AI governance.

Track change control items to ensure alignment across the AI Office and broader Enterprise.

Drive a culture of execution and accountability — ensure every initiative progresses from concept to measurable business value, not just status updates.

Stakeholder Alignment, Reporting & Value Tracking

Provide strategic overview and reporting on AI project(s) to senior management and AI Office leadership, ensuring transparency on progress, value delivery, risks, and dependencies across the portfolio.

Align deliverables to the project's outcome with the aid of data scientists, ML engineers, business change managers, and functional stakeholders (Operations, Commercial, Supply Chain, Finance, Procurement) — ensuring proper communication to core project teams as well as business-level stakeholders.

Work with the business change manager(s) to define and track key performance indicators — including quantifiable business value ($-impact, efficiency gains, risk reduction) — properly illustrating the benefit while maintaining business continuity throughout the project life cycle.

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' experience leading cross-functional technical teams through successful project implementation, with at least 3 years in AI, data science, machine learning, or advanced analytics environments.

3+ years' experience leading software development initiatives, and solid understanding of the Software Development Lifecycle (SDLC) — including AI/ML-specific lifecycles (experimentation, model training, MLOps, production deployment).

For those candidates without a Bachelor's degree, 5+ years of related experience is required.

PMP, PgMP, SAFe, or equivalent certification preferred

Proven track record of executing and delivering complex projects on time with measurable business outcomes — not just tracking tasks, but driving results.

Demonstrated ability to hold diverse, matrixed teams accountable, including data scientists, engineers, business stakeholders, and external vendors/consultants.

Strong working knowledge of project management methodology and techniques, as well as working knowledge of hybrid models of Waterfall and Agile teams, and where each is most beneficial.

Experience in industrial, mining, manufacturing, or Fortune 500 environments preferred.

Strong ability to apply practical experience from large and complex initiatives to support any project necessary while acquiring the business knowledge necessary for successful implementation.

Ability to provide good understanding of the wider objectives of the project to various audiences including technical, non-technical, and C-level executives — with experience preparing executive-ready materials and board-level summaries.

Ability to work positively with a wide range of individuals and competing personalities — especially in high-pressure, ambiguous environments where priorities shift.

Strong leadership and program delivery skills — with a demonstrated ability to influence without authority in a matrixed organization.

Strong ability to facilitate large groups toward a common decision or goal, working through conflict management techniques to reach issue resolution.

Ability to pull individual outputs per project into outcomes that support AI Office strategic initiatives and enterprise AI portfolio goals.

Ability to apply theory as practice.

AI/ML literacy — not required to code, but must understand the language, tools, and nuances of AI project delivery (data pipelines, model performance metrics, deployment patterns).

Experience with Azure-related efforts (Azure ML, Databricks, Azure DevOps) at an Enterprise level 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