{"id":3991434,"url":"https://alion.io/job/the-mosaic-company-ai-program-lead","title":"AI Program Lead","company":{"id":679931,"name":"The Mosaic Company","domain":"mosaicco.com","url":"https://alion.io/company/mosaicco","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":32,"ghost_share":0,"stale_share":0.875,"repost_share":0.031,"time_to_fill_p50_days":28,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tampa, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-11-09T23:33:05Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T05:02:07Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nAt Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!\nThe 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.\nWhat you’ll do?\nAI Project Planning, Governance & Delivery\nResponsible 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.\nCoordinate 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.\nHold 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.\nManage 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.\nDefine and support quality control standards and tracking through project implementation, including AI model performance, data quality, and responsible AI governance.\nTrack change control items to ensure alignment across the AI Office and broader Enterprise.\nDrive a culture of execution and accountability - ensure every initiative progresses from concept to measurable business value, not just status updates.\nStakeholder Alignment, Reporting & Value Tracking\nProvide 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.\nAlign 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.\nWork 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.\nWhat you’ll need:\nAn Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area \nBachelor's degree preferred\n7+ 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. \n3+ 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). \nFor those candidates without a Bachelor's degree, 5+ years of related experience is required.\nPMP, PgMP, SAFe, or equivalent certification preferred \nProven track record of executing and delivering complex projects on time with measurable business outcomes - not just tracking tasks, but driving results.\nDemonstrated ability to hold diverse, matrixed teams accountable, including data scientists, engineers, business stakeholders, and external vendors/consultants. \nStrong 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.\nExperience in industrial, mining, manufacturing, or Fortune 500 environments preferred.\nStrong ability to apply practical experience from large and complex initiatives to support any project necessary while acquiring the business knowledge necessary for successful implementation.\nAbility 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.\nAbility to work positively with a wide range of individuals and competing personalities - especially in high-pressure, ambiguous environments where priorities shift. \nStrong leadership and program delivery skills - with a demonstrated ability to influence without authority in a matrixed organization.\nStrong ability to facilitate large groups toward a common decision or goal, working through conflict management techniques to reach issue resolution.\nAbility to pull individual outputs per project into outcomes that support AI Office strategic initiatives and enterprise AI portfolio goals.\nAbility to apply theory as practice.\nAI/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).\nExperience with Azure-related efforts (Azure ML, Databricks, Azure DevOps) at an Enterprise level preferred.\nWhat's in it for you:\nA competitive base salary + bonus incentives \n11 paid holidays each year \nA generous 401k with a company match and annual company contribution\nPaid sick leave \nPaid vacation time \nA robust benefits package which includes Medical, Dental, and Vision insurance, life & disability \nTuition reimbursement\nPaid Paternity/Maternity 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