Geared toward seasoned engineering leaders comfortable with data pipeline management and cross-functional collaboration, this role emphasizes multi-team leadership and agile delivery in a Toronto-based, hybrid work environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Emburse via Lever
Who We Are:
At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in expense intelligence, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.
Summary/Objective
As Senior Engineering Manager, Analytics, you will lead two data and analytics teams, Emburse Analytics and Travel Analytics, that turn travel and expense data into the dashboards, embedded reports, and AI-powered insights our customers use to control spend. Reporting to the Director of Engineering in a hybrid role, you will focus on people and delivery: owning a strong SDLC, partnering with Product on options and tradeoffs, and ensuring good technical decision making.
Essential Functions
Technical
8+ years of data engineering, analytics engineering, or software development experience, with 3+ years of direct line management, including leading multiple teams
Enough technical depth in data pipelines, data modeling, and BI to evaluate designs and assess risk and effort, while delegating implementation to senior engineers
Accountable for the quality and security of customer-facing embedded analytics (Looker and Power BI) and the analytics roadmap, including a governed semantic layer for AI analytics
Develop, lead, coach, and assess two teams of individual contributors across North America and Europe, growing senior engineers into technical leaders
Grow a collaborative team culture grounded in trust, open feedback, and accountability
Agile / Process
Champions agile ways of working and continuously improves team rituals based on what the team learns
Breaks large initiatives into small, incremental slices that ship value early and often, validated with customers before the next iteration
Owns the team's SDLC end to end, from refinement and estimation through testing, release, and post-release monitoring
Partners closely with Product, presenting clear options with tradeoffs in scope, timeline, cost, and risk, and recommending a path forward
Drives predictable delivery through realistic commitments and visible progress tracking
Builds secure, compliant practices (SSDLC, GDPR, data residency, access controls) into the regular workflow
Impact
Leads two analytics teams in delivering accurate, reliable data pipelines, models, and dashboards on budget and on time
Establishes data quality standards so customers trust the numbers
Improves engineering quality and efficiency through automation, test coverage, and cost management
Hires qualified candidates to strengthen company and team
Communication
Represents the analytics engineering teams across the organization and serves as the primary engineering partner to Analytics and Travel product owners
Collaborate with cross-functional peers, vendor partners, and leaders to deliver projects
Education & Experience:
Education:
Required: Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent years' experience
Experience Required:
Minimum of 3–5 years of direct line management experience, including leading multiple teams.
Minimum of 8 years' professional experience in data engineering, analytics engineering, or BI development.
Proven 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 delivery of embedded analytics or AI analytics in a multi-tenant SaaS product.
Prior experience in the corporate travel, booking, or expense domain.
Certifications:
Required: None
Additional Eligibility Qualifications:
Understanding of secure data practices and least-privilege access
Strong understanding of dimensional modeling and common data design patterns
Ability to write clear, concise documentation
Sponsorship:
- This role is not sponsorship eligible
- Candidates need to be legally allowed to work in Canada
Work Location:
- This is an onsite role in Toronto
Why Emburse?
Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down.
- A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize
their finance operations.
- A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real-
world challenges.
- A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that
supports your success.
- A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making
for businesses everywhere.
Shape your future & find what’s next at Emburse.
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
Source: Emburse careers (Lever)