Senior Engineering Manager, Analytics

Role summary

Technical and delivery responsibilities

• Own the analytics roadmap and the quality and security of customer-facing Looker and Power BI analytics, including a governed semantic layer for AI analytics.
• Develop and coach two teams across North America and Europe and grow senior engineers into technical leaders.
• Own the SDLC from refinement and estimation through testing, release, and post-release monitoring.
• Champion agile practices, deliver incrementally, validate with customers, and partner with Product on trade-offs and delivery commitments.
• Build SSDLC, GDPR, data residency, and access controls into regular workflows.
• Deliver reliable pipelines, models, and dashboards; establish data quality standards; improve automation, testing, and cost management.
• Hire qualified team members and build a collaborative culture of trust, feedback, and accountability.
• Represent analytics engineering and partner with product owners, cross-functional peers, vendors, and leaders.

Experience and education

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent years of experience.
• Minimum 3–5 years of direct line management, including multiple teams, and at least 8 years in data engineering, analytics engineering, or BI development.
• Track record of maturing SDLC and agile delivery across multiple teams.
• Working familiarity with Snowflake, MS Fabric, dbt, Airflow, Looker, Power BI, and AWS or Azure.
• Experience leading embedded or AI analytics delivery in a multi-tenant SaaS product and prior corporate travel, booking, or expense domain experience.

Additional qualifications

• Enough technical depth in pipelines, data modeling, and BI to evaluate designs and assess risk and effort while delegating implementation.
• Understanding of secure data practices, least-privilege access, dimensional modeling, and common data design patterns.
• Ability to write clear, concise documentation.

Work location and eligibility

• This is an onsite role in Toronto.
• The role is not sponsorship eligible; candidates must be legally allowed to work in Canada.

About Emburse