Sr. Manager, AI & Analytics at The Wonderful Company

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

200000.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Advanced Analytics, Data Science, AI/ML, Generative AI, Large Language Models, Python, SQL, REST APIs, MLOps, Data Governance, Cloud-Based Data Platforms, Business Intelligence, Machine Learning, Data Pipelines, Prompt Engineering, Data Strategy

Industry

Food and Beverage Manufacturing

Description

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 life coaching engaging employee community groups cash rewards for healthy habits and fitness reimbursements library of on-demand fitness videos Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units. Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward. Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace. Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California’s Central Valley, Fiji, and the world. In 2024, Wonderful ranked as #1 in PEOPLE’s “100 Companies That Care” list and was named one of Fortune magazine’s 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visit csr.wonderful.com. Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com. To learn more about The Wonderful Company, visit www.wonderful.com, or follow us on Facebook, Twitter and Instagram. The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. #LI-JB1 #LI-Hybrid EEO is the law - click here for more information

Responsibilities

Define and execute a holistic data strategy that aligns with business objectives and drives digital transformation. Lead the development and deployment of advanced analytics and AI initiatives across the organization.