Sr. Manager, AI & Analytics

Sr. Manager, AI & Analytics|The Wonderful Company# Sr. Manager, AI & Analytics The Wonderful Company | Los Angeles, CA | Information technology | Mid-Senior Level | Full-time | Job e
* Email## Company Description You may know us as Wonderful Pistachios, FIJI Water, POM Wonderful, Justin Wine, Teleflora, and Halos Citrus, but we're all one Wonderful and have a great opportunity for a Senior Manager, AI & Analytics to lead enterprise-wide initiatives that redefine how data, AI, and automation are leveraged for strategic advantage.

This role will own the evolution of the organization's advanced analytics and AI strategy, with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), Agentic AI systems, and Retrieval-Augmented Generation (RAG) frameworks. The ideal candidate will bring a blend of technical expertise, strategic foresight, and leadership capability to drive transformative innovation across functions.
*** This role will be based out of West Los Angeles corporate office and work a hybrid schedule in office Monday through Wednesday with opportunity to work from home Thursday and Friday.***##

Job Description
* Define and execute a holistic data strategy that aligns with business objectives and fuels digital transformation across the organization.
* Establish and manage a centralized enterprise data strategy that includes data governance, catalog, quality, lineage, and access control.
* Build a robust data catalog and self-service discovery tools to ensure data accessibility for all business units across finance, HR, supply chain, operations, and customer-facing teams.
* Drive the integration and ingestion of data from diverse internal and external sources, including ERP systems (e.g., Oracle, SAP), cloud apps, IoT, unstructured content, and legacy databases.
* Lead development and deployment of LLMs and GenAI applications, such as conversational agents, summarization tools, code generation assistants, and document intelligence systems.
* Architect and implement agentic AI frameworks to automate multi-step business processes, enabling intelligent decision-making and self-operating systems.
* Deliver at least two full-cycle LLM/GenAI projects including model selection/customization (e.g., GPT, LLaMA, Falcon), prompt engineering, fine-tuning, RAG implementation, and production deployment.
* Guide the creation and operationalization of ML models for prediction, classification, recommendation, and optimization.
* Build and scale enterprise-grade data pipelines using modern cloud-based data platforms to support AI/ML workloads and real-time analytics.
* Integrate with modern BI tools (e.g., Power BI) to deliver actionable dashboards and self-service analytics.
* Lead and mentor a high-performing team of data scientists, ML/AI engineers, and BI developers.
* Foster a culture of continuous learning, innovation, and responsible AI practices.
* Enable enterprise-wide adoption of AI/GenAI by developing frameworks, reusable components, and CoE best practices.
* Act as a strategic advisor to business and executive teams, promoting data-driven thinking and AI readiness across all levels of the organization.## Qualifications
*
* Required Qualifications:

*** Minimum of 10 years in advanced analytics, data science and AI/ML, with at least 5 years in leadership or strategy-driving capacity.
* Minimum of 5 years working with ERP application data (e.g., Oracle Fusion, SAP).
* Proven experience leading at least two (2) end-to-end GenAI/LLM projects in enterprise settings (e.g., chatbots, copilots, knowledge assistants).
* Strong hands-on and technical background in:  + Python, SQL, REST APIs  + ML/LLM frameworks: scikit-learn, PyTorch, Tensor Flow, Hugging Face, Lang Chain, Llama Index  + Data platforms: cloud-based data warehouses, enterprise BI tools (e.g., Power BI)  + MLOps, prompt engineering, vector stores, and RAG architecture
* Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field;
PhD preferred.
*
* Preferred Qualifications:

*** Experience with ERP analytics solutions (e.g., Finance, HCM, or SCM modules).
* Experience developing agent-based GenAI systems.
* Familiarity…