About the role
from listingWho 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