Sr. Manager, AI & Analytics

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, TensorFlow, Hugging Face, LangChain, LlamaIndex
  • 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 with GenAI platforms such as Azure OpenAI, AWS Bedrock, or similar.
• AI/ML certifications (e.g., Azure AI Engineer, AWS Machine Learning Specialty).
• Prior experience in regulated industries such as finance, manufacturing, or healthcare.

Pay Range: $180,000 - $200,000, and may include a discretionary bonus. Final compensation will be dependent upon skills & experience.

Additional Information

• Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: 
  • 24/7 online physician consultations 
  • virtual mental health resources