USANA Health Sciences

QA Engineer

• Participate in Agile ceremonies, including story grooming and sprint planning, and collaborate with the team to understand requirements and prioritize testing
• Develop and execute test cases, under guidance, including black/gray box testing, to validate product quality and share clear feedback with the team
• Perform basic failure analysis, report bugs, and identify blocking issues, taking ownership of driving them to resolution
• Actively learn the team’s tools, processes, and product portfolio, using current AI development tools and coding assistants to learn faster and accelerate QA contributions
• Provide full transparency on testing progress and support the team in identifying opportunities to improve testing efficiency

Quality Engineer

Database Administrator

• Serve as a senior technical authority responsible for the performance, integrity, availability, and security of USANA’s Oracle, PostgreSQL, and SQL Server database environments, including leading on-premises to AWS RDS cloud migration
• Design, implement, and manage Oracle, PostgreSQL, and SQL Server databases with a focus on high availability, reliability, and peak performance
• Conduct regular system audits, capacity planning, and performance tuning — including query optimization, index strategy, and wait-event analysis
• Administer clustering, Always On Availability Groups (AOAG), and replication technologies to ensure continuous data availability
• Maintain robust backup, recovery, and disaster-recovery strategies and regularly validate recoverability targets (RTO/RPO)
• Lead and execute on-premises to AWS RDS migration, covering Oracle, PostgreSQL, and SQL Server workloads
• Architect and implement AWS RDS and Aurora configurations, including Multi-AZ deployments, read replicas, and automated backups
• Configure AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) for schema translation and data transfer
• Develop and maintain advanced Python and Bash automation scripts using AI coding tools (e.g., Claude Code, Cursor) to accelerate development
• Design, build, and implement end-to-end automated AI workflows using enterprise AI agent and MCP platforms such as TrueFoundry
• Develop, implement, and enforce database security policies including role-based access control, auditing, data masking, and encryption standards
• Manage database secrets, credentials, and certificates using AWS Secrets Manager and organizational vault solutions
• Collaborate with IT, application development, and data engineering teams to align database architecture with business strategy
• Provide technical mentorship and guidance to junior and mid-level DBAs
• Participate in on-call rotation for critical database incidents and provide timely escalation and resolution

Senior Database Administrator

Data Scientist

• Manage 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

Quality Engineer

Senior Database Administrator

AI Activation, Data Science Manager