Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
About the role
- AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
Responsibilities
- Own the Shared Infrastructure: Build and maintain shared assets our analysts build on
- Build Agents: Develop production AI agents from prototypes
- Own Evaluations and the Definition of Done: Define production standards for AI work
- Close Pipeline Gaps: Diagnose data and infrastructure gaps and drive closure
- Set the Build Standards: Manage build artifacts and repository conventions
- Make Builders Better: Teach infrastructure use to analysts
- Governance and Compliance: Navigate AI governance landscape for the team
- Scale Adoption Across the Team: Ensure tools are findable and usable
- Interface Outward: Represent the team in organizational AI conversations
- Keep Production Agents Healthy: Establish monitoring for agents in production
Requirements
- Demonstrated personal investment in AI
- 2+ years of serious hands-on building with modern AI tooling
- Fluency across AI assistants, coding in an AI development environment, patterns of agent design
- Experience taking someone else's prototype and generalizing it into reusable infrastructure
- Working knowledge of how to evaluate AI systems
- Substantial experience building structure and programs that scale a capability across a whole team
- Strong eye for detail and discipline to specify success before building
- 4+ years driving change across teams with senior stakeholders
- 5+ years in analytics or a closely related data discipline
- Awareness of AI governance and compliance considerations
- Project tracking and program coordination experience is an asset
- Experience in or alongside product teams and SaaS experience are assets
Benefits
- Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
- Flex My Way: Supportive workplace policies for personal and professional responsibilities
- Career Development and Growth: Continuous learning and skill development programs
- Industry Competitive Benefits: Flexible vacation, Mental Health Days off, retirement savings
- Access to Headspace app, tuition reimbursement, employee incentive programs, resources for wellbeing
- Globally recognized culture of inclusion and belonging
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