We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics AI teams can confidently build on.

This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution.

You will also partner closely with AI Context Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system.

WHAT YOU’LL DO

: Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces, including query execution across schemas and models, federated data access between the data warehouse and external source systems, and multi-step agent workflows for cross-functional business processes. Develop clear technical recommendations for platform and orchestration architecture evolution, align those recommendations with Senior Manager and Director-level direction, and guide the team through disciplined execution within the approved architecture. Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure.

Guide the team to build and operate these systems to production standards, lead incident response and root-cause analysis, and maintain a high code-quality bar through active review, mentorship, and operational discipline. Set and uphold standards for data pipelines built for agent and programmatic consumption rather than traditional dashboard delivery, ensuring the data AI systems depend on is high-quality, well-documented, testable, observable, and dependable at the source.

Requirements

defined by the Senior Manager. Set the team's engineering standards and ways of working, while developing team members through coaching, regular 1:1s, hands-on code review, and clear feedback that strengthens both technical capability and career growth. Coordinate with the Senior Manager on performance and career development for team members.

Collaborate closely with AI Context Integration and AI Data Architecture to ensure platform, orchestration, and data pipeline changes integrate cleanly with the context layer, semantic layer, governed data models, and downstream agent workflows. Perform other related duties as assigned. WHAT YOU’LL NEED: 8+ years of hands-on software, data, or AI platform engineering experience, or equivalent combination of education and experience, including senior IC or technical leadership roles where you influenced technical direction, system design, and delivery outcomes.

Experience leading or mentoring a small engineering team, including setting technical direction, running code reviews, supporting individual growth, holding accountability for team-level delivery, and balancing hands-on contribution with delegation and unblocking.