Sr. Manager, AI & Analytics
Sr. Manager, AI & Analytics
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1 Vacancy
Job Description
- Shape and execute the enterprise AI & analytics vision ensuring alignment with business goals and long-term digital transformation strategy.
- 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.
- Deploy agentic AI architectures to automate complex workflows and enhance decision-making capabilities.
- 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 Tableau) 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.
- Partner with business and IT stakeholders to translate complex business problems into scalable AI solutions.
- Enable enterprise-wide adoption of AI/GenAI by developing frameworks reusable components and CoE best practices.
- Ensure ethical transparent and compliant use of AI across the enterprise.
- Implement model governance frameworks including documentation bias detection drift monitoring and auditing.
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
- Bachelors or Masters 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: $180000 - $200000 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 Californias Central Valley Fiji and the world. In 2024 Wonderful ranked as #3 in PEOPLEs 100 Companies That Care list and was named one of Fortune magazines 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts visit .
- 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 10000 employees worldwide. The Wonderful Companys 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 Californias Central Valley. To view the current Corporate Social Responsibility report visit .
To learn more about The Wonderful Company visit 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.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
