AI Activation & Data Science Manager

USANA Health Sciences • Salt Lake City, UT

1d • Hybrid

About The Position

We are looking for an experienced and creative individual to join our team as an AI Activation & Data Science Manager. This role manages the production process from concept through completion, ensuring creative quality while coordinating timelines, budgets, and resources. Drive active data science projects to production — including a Next Best Action engine, customer segmentation model, and comp plan chatbot — defining what "done" looks like and holding the team accountable to shipping. Establish a delivery cadence that balances exploration with execution, mentoring data scientists toward outcome-oriented habits: scoping work to what can be shipped, documenting what was built, and handing off cleanly. Own the AI activation layer — ensuring data and models reach business users through practical surfaces, including Copilot, Fabric Agents, Power Automate flows, and Emarsys integrations. Configure and optimize Microsoft Fabric semantic models for AI consumption and build MCP server integrations between Fabric and Claude (or equivalent) to make USANA's data accessible within internal AI tools. Set technical direction for applied AI and ML — recommendation systems, customer segmentation, predictive churn, and intelligent automation — ensuring models are understood end-to-end from development through production handoff. Partner with executive and commercial stakeholders to identify high-impact AI opportunities, translating complex technical concepts into actionable business strategies while championing responsible AI practices. Collaborate cross-functionally with BI, marketing, data engineering, and IT teams to deliver end-to-end solutions built on trusted, well-governed data from USANA's Snowflake medallion architecture. Define standards for model lifecycle management, feature engineering, and AI integration patterns — and stay current on the Microsoft AI ecosystem to evaluate emerging tools for strategic adoption.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field — or equivalent professional experience; an advanced degree is a plus.
• 5+ years of combined experience in data science, BI, or applied AI roles, with demonstrated depth in machine learning and model deployment and/or data activation — building integrations, automations, or AI surfaces that reach end users.
• 2+ years of experience leading, mentoring, or managing technical team members.
• Proven experience with the Microsoft AI and data ecosystem: Microsoft Fabric, Power BI semantic models, Copilot, Power Automate, and/or Azure AI services.
• Experience deploying or activating AI in customer-facing or business-user-facing contexts — Copilot integrations, chatbots in production, automated email triggers, or self-service analytics tools.
• Proficiency in Python and SQL; familiarity with ML frameworks such as scikit-learn or XGBoost.
• Genuine enthusiasm for low-code and AI-native tools as accelerants — Power Automate, Fabric Agents, and MCP integrations as real engineering, not workarounds.
• Strong delivery orientation, excellent cross-functional communication skills, and comfort operating in a fast-moving, ambiguous environment.

Nice To Haves

• Strong design sensibility with extensive event audiovisual and design experience, and proven ability to collaborate effectively with designers and art directors.

Responsibilities

• Manages the production process from concept through completion, ensuring creative quality while coordinating timelines, budgets, and resources.
• Drive active data science projects to production — including a Next Best Action engine, customer segmentation model, and comp plan chatbot — defining what "done" looks like and holding the team accountable to shipping.
• Establish a delivery cadence that balances exploration with execution, mentoring data scientists toward outcome-oriented habits: scoping work to what can be shipped, documenting what was built, and handing off cleanly.
• Own the AI activation layer — ensuring data and models reach business users through practical surfaces, including Copilot, Fabric Agents, Power Automate flows, and Emarsys integrations.
• Configure and optimize Microsoft Fabric semantic models for AI consumption and build MCP server integrations between Fabric and Claude (or equivalent) to make USANA's data accessible within internal AI tools.
• Set technical direction for applied AI and ML — recommendation systems, customer segmentation, predictive churn, and intelligent automation — ensuring models are understood end-to-end from development through production handoff.
• Partner with executive and commercial stakeholders to identify high-impact AI opportunities, translating complex technical concepts into actionable business strategies while championing responsible AI practices.
• Collaborate cross-functionally with BI, marketing, data engineering, and IT teams to deliver end-to-end solutions built on trusted, well-governed data from USANA's Snowflake medallion architecture.
• Define standards for model lifecycle management, feature engineering, and AI integration patterns — and stay current on the Microsoft AI ecosystem to evaluate emerging tools for strategic adoption.

Benefits

• Health, Dental, Vision, Life and Disability Insurance
• On-site medical and mental health clinic for you and your dependents
• Flexible paid time off, including sick time, vacation, holidays, family hours, and floating holidays
• Paid parental leave for both primary and secondary caregivers
• 401k match and profit-sharing bonus
• Chiropractor visits, massages, fitness classes, and full-service gym
• Free and discounted USANA products
• Tuition reimbursement, mentorship opportunities, and learning and development licenses

What This Job Offers

• Job Type: Full-time
• Career Level: Manager