Lead, Data Development, AI Platform

Hootsuite

Montreal, CAN

Full Time

Lead

3 days ago

PythonAI platform engineeringOrchestrationData pipelinesLLMMCP

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Key skills for this role

PythonAI platform engineeringOrchestration

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About the Role

Hootsuite seeks a Lead, Data Development, AI Platform to lead the team building the technical platform behind Analytics MCP. You will set technical direction, own delivery outcomes, and ensure reliable AI-driven analysis at scale.

Key Skills for This Role

PythonAI platform engineeringOrchestrationData pipelinesLLMMCP

Responsibilities

Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces
Develop clear technical recommendations for platform and orchestration architecture evolution, align with Senior Manager and Director level direction, and guide the team through disciplined execution
Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure
Set and uphold standards for data pipelines built for agent and programmatic consumption
Drive technical build and implementation of internal tooling and agents that improve AI Engineering workflows
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
Collaborate closely with AI Context & Integration and AI Data Architecture to ensure platform, orchestration, and data pipeline changes integrate cleanly

Requirements

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
Experience leading or mentoring a small engineering team, including setting technical direction, running code reviews, supporting individual growth, holding accountability for team level delivery
Strong hands on programming capability across backend services, APIs, data pipelines, or platform infrastructure
Experience building or operating orchestration across systems, such as multi step process coordination, query execution across multiple data sources, external system integration, workflow automation, or agent workflow orchestration
Working knowledge of AI and LLM based systems, including how agents, tools, context interfaces such as MCP, and orchestration layers work together
Experience building data pipelines for programmatic or agent consumption, with strong attention to source level quality, documentation, testing, observability, and operational maintainability
Familiarity with platform reliability practices, including observability, monitoring, debugging, security integration, root cause analysis, performance tuning, and production support at scale

Full Job Posting

Role Overview

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.

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 cro
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.
Set and uphold standards for data pipelines built for agent and programmatic consumption rather than traditional dashboard delivery.
Drive technical build and implementation of internal tooling and agents that improve AI Engineering workflows such as build, deployment, monitoring, diagnostics, and operational support.
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.
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.

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.
Strong hands on programming capability across backend services, APIs, data pipelines, or platform infrastructure, with the ability to build reliable, maintainable systems that meet production standards.
Experience building or operating orchestration across systems, such as multi step process coordination, query execution across multiple data sources, external system integration, workflow automation, or agent workflow orchestration, with the judgment to recommend practical architecture choices.
Working knowledge of AI and LLM based systems, including how agents, tools, context interfaces such as MCP, and orchestration layers work together to produce reliable outputs.
Experience building data pipelines for programmatic or agent consumption, with strong attention to source level quality, documentation, testing, observability, and operational maintainability.
Familiarity with platform reliability practices, including observability, monitoring, debugging, security integration, root cause analysis, performance tuning, and production support at scale.

WHO YOU ARE

Solution seeker: You focus on tackling new challenges, solving problems, and moving the business forward.
Lifelong learner: You bring a growth mindset, actively learn and experiment, seek and apply feedback.
Resilient adapter: In the face of change and ambiguity, you bring a thoughtful, calm approach.
Intentional collaborator: You build positive working relationships across the business.
Critical challenger: You ask thoughtful, difficult questions in service of reaching the best outcome.
Active communicator: You listen actively and communicate ideas, risks, decisions, and tradeoffs clearly.
Integrated thinker: You look beyond your immediate role to understand how your team's work advances broader organizational goals.
Accountable owner: You take pride in the work you are responsible for.
Bar raiser: You step up to help the team grow and succeed.

Compensation

Canada Pay Range For This Role: CAD 98,400 CAD CAD 137,800 CAD

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