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/ObjectiveAs 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 FunctionsTechnical8+ years of data engineering, analytics engineering, or software development experience, with 3+ years of direct line management, including leading multiple teamsEnough technical depth in data pipelines, data modeling, and BI to evaluate designs and assess risk and effort, while delegating implementation to senior engineersAccountable 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 analyticsDevelop, lead, coach, and assess two teams of individual contributors across North America and Europe, growing senior engineers into technical leadersGrow a collaborative team culture grounded in trust, open feedback, and accountabilityAgile / ProcessChampions agile ways of working and continuously improves team rituals based on what the team learnsBreaks large initiatives into small, incremental slices that ship value early and often, validated with customers before the next iterationOwns the team's SDLC end to end, from refinement and estimation through testing, release, and post-release monitoringPartners closely with Product,



presenting explicit options with tradeoffs in scope, timeline, cost, and risk, and recommending a path forwardDrives predictable delivery through realistic commitments and visible progress trackingBuilds secure, compliant practices (SSDLC, GDPR, data residency, access controls) into the regular workflowImpactLeads two analytics teams in delivering accurate, reliable data pipelines, models, and dashboards on budget and on timeEstablishes data quality standards so customers trust the numbersImproves engineering quality and efficiency through automation, test coverage, and cost managementHires qualified candidates to strengthen company and teamCommunicationRepresents the analytics engineering teams across the organization and serves as the primary engineering partner to Analytics and Travel product ownersCollaborate with cross-functional peers, vendor partners, and leaders to deliver projectsEducation & ExperienceEducation:Required: Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent years' experienceExperience 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 Saa S product.Prior experience in the corporate travel, booking,



or expense domain.CertificationsRequired: NoneAdditional Eligibility QualificationsUnderstanding of secure data practices and least-privilege accessStrong understanding of dimensional modeling and common data design patternsAbility to write clear, concise documentationSponsorshipThis role is not sponsorship eligibleCandidates need to be legally allowed to work in CanadaWork LocationThis is an onsite role in TorontoWhy Emburse?A Company with Momentum – We serve 12 M+ users across 120 countries, helping businesses modernizetheir 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 thatsupports your success.A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-makingfor 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr

📌 Senior Engineering Manager, Analytics (Toronto)
🏢 Emburse Chrome River
📍 Toronto