AI Manager

Scotts Miracle-Gro • Marysville, OH • 2h ago

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! Role Summary The Manager / Senior Manager, AI/ML will serve as the operational backbone of the AI Center of Excellence at Scotts Miracle-Gro - translating the AI/ML roadmap into production-grade systems, running the day-to-day operations of the CoE, and overseeing the progress and impact of forward-deployed AI engineers embedded in business units. This role bridges strategy and execution, ensuring AI initiatives deliver measurable business outcomes. In this role you will: AI/ML Solution Development and Delivery: -Lead end-to-end development of AI/ML models and applications - from experimentation through production deployment and monitoring. -Own technical execution of priority initiatives, applying modern techniques (LLMs, RAG, multimodal AI, reinforcement learning) to solve real business problems. -Design and build consumer-facing AI agents, back-office agentic workflows, and automation solutions using emerging capabilities (multi-agent orchestration, MCP, A2A protocols). -Drive advanced analytics, predictive modeling, and prescriptive insights across business units. Maintain model monitoring, drift detection, and retraining pipelines. AI COE Operations and FDE Oversight: -Manage day-to-day COE operations: intake/prioritization of AI requests, capacity planning, sprint management, and delivery tracking. -Run team cadences (standups, reviews, retrospectives) and own delivery metrics - throughput, cycle time, adoption rates, and business value delivered. -Serve as day-to-day manager and technical mentor for forward-deployed AI engineers embedded in Marketing, Insights, and future business units. -Track FDE impact, facilitate cross-FDE knowledge sharing, and ensure reusable patterns flow back to the central CoE. -Partner with business unit leaders to assess FDE effectiveness and identify new embedding opportunities as the CoE scales. Cross-Functional Partnership and Team Leadership: -Partner with stakeholders across marketing, product, operations, and finance to define success metrics and deliver AI solutions that move KPIs. -Manage and mentor data scientists, ML engineers, and FDEs - fostering experimentation, technical excellence, and measurable impact. -Conduct code reviews, guide architecture decisions, and maintain high standards for quality, documentation, and reproducibility. -Implement responsible AI practices, ensure data governance, and partner with legal/compliance as needed. What you'll need to be successful: Required: -Master's in Data Science, Computer Science, Mathematics, Statistics, or related quantitative field. -8+ years in AI/ML or data science (5+ for PhD candidates). 2+ years managing a technical team. -Strong hands-on experience: ML (supervised/unsupervised), deep learning, generative AI (LLMs, RAG, vector databases, prompt engineering, fine-tuning). -Proficiency in Python, SQL, and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face). -Experience with cloud platforms (GCP, AWS, or Azure) and ML infrastructure (MLflow, Vertex AI, SageMaker). -Proven track record delivering AI solutions that drove tangible business outcomes. -Strong project management skills across multiple concurrent workstreams and distributed team members. -Ability to translate business problems into technical approaches and communicate results in business terms. Preferred: -Experience in CPG, retail, or consumer-facing industries. -Exposure to agentic AI systems, multi-agent architectures, or AI-powered automation. -Ex Apply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjIzNDU5LjEwNTA4QHNjb

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