The Lead IT Data Engineer owns and drives the organization’s data strategy, setting the technical direction for data engineering, enterprise data modeling, and agentic AI adoption. This role is responsible for platform architecture, tool selection, cloud strategy, budget and capacity planning, and the design of enterprise AI agent systems — all while establishing governance frameworks for responsible data and AI practices and mentoring the engineering team.
Requirements
- Own and drive the overall data strategy
- Architect end-to-end data solutions across cloud platforms
- Own the enterprise data modeling strategy
- Define API design standards and data contracts
- Establish enterprise-level data governance, security, and compliance frameworks
- Define and enforce CI/CD standards for data pipelines
- Drive data observability practices and platform reliability
- Drive build-vs-buy evaluations for data and AI tools
- Own or co-own infrastructure budget and capacity planning
- Define and drive the organization’s agentic AI strategy
- Establish AI governance frameworks
- Establish LLMOps practices at scale
- Lead AI platform evaluation and integration
- Set software engineering best practices
- Advocate for and lead adoption of data mesh and data-as-a-product principles
- Mentor the engineering team
Benefits
- Paid time off
- 401(k) plans
- Affordable health, life, dental, vision and prescription drug benefits
To apply for this job please visit tysonfoods.wd5.myworkdayjobs.com.
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