Senior Engineering Manager, Emburse

• 8+ years of data engineering, analytics engineering, or software development experience, with 3+ years of direct line management, including leading multiple teams
• Required: Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent years' experience
• 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

Desirable

• 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
• 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
• 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
• 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
• 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