Senior Engineering Manager, Analytics
Role Overview
Lead Emburse Analytics and Travel Analytics teams that turn travel and expense data into customer dashboards, embedded reports, and AI-powered insights.
Reporting to the Director of Engineering, the role focuses on people and delivery, a strong SDLC, product partnership, and sound technical decisions.
Key Skills for This Role
Full Job Posting
Role summary
Lead Emburse Analytics and Travel Analytics teams that turn travel and expense data into customer dashboards, embedded reports, and AI-powered insights.
Reporting to the Director of Engineering, the role focuses on people and delivery, a strong SDLC, product partnership, and sound technical decisions.
Technical and people leadership
- Evaluate data pipeline, modeling, and BI designs for risk and effort while delegating implementation to senior engineers.
- Own the analytics roadmap and the quality and security of customer-facing embedded analytics, including a governed semantic layer for AI analytics.
- Develop, coach, and assess two teams across North America and Europe; grow senior engineers into technical leaders and build a collaborative culture.
- Lead delivery of reliable pipelines, models, and dashboards; establish data quality standards and improve automation, test coverage, and cost management.
Agile delivery and communication
- Improve agile ways of working and team rituals; deliver initiatives in incremental slices validated with customers.
- Own the SDLC from refinement and estimation through testing, release, and post-release monitoring.
- Partner with Product on scope, timeline, cost, and risk tradeoffs; maintain realistic commitments and visible progress tracking.
- Embed SSDLC, GDPR, data residency, and access controls into regular workflows.
- Represent analytics engineering across the organization, partner with product owners and cross-functional peers, collaborate with vendors and leaders, and hire qualified candidates.
Education and experience
- Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent years of experience.
- At least 3–5 years of direct line management, including leading multiple teams, and at least 8 years in data engineering, analytics engineering, or BI development.
- Track record of maturing SDLC and agile delivery practices across multiple teams.
- Working familiarity with Snowflake, MS Fabric, dbt, Airflow, Looker, Power BI, and AWS or Azure.
- Experience leading embedded analytics or AI analytics delivery in a multi-tenant SaaS product and prior corporate travel, booking, or expense domain experience.
Additional qualifications
- Understanding of secure data practices and least-privilege access, strong dimensional modeling and data design knowledge, and ability to write clear documentation.
- Must be legally allowed to work in Canada; this role is not eligible for sponsorship.
Work location
- The posting describes the role as onsite in Toronto; it also labels the role hybrid in the summary.
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