Senior Engineering Manager (Analytics)

Join Emburse as a Senior Engineering Manager, where you will lead two data and analytics teams, focusing on people and delivery. You will own the team's software development lifecycle, partner closely with product, and drive predictable delivery. You will also establish data quality standards, improve engineering quality and efficiency, and represent the analytics engineering teams across the organization.

- Lead and manage two data and analytics teams, ensuring the delivery of accurate and reliable data pipelines, models, and dashboards. - Own the team's software development lifecycle (SDLC) end to end, from refinement and estimation through testing, release, and post-release monitoring. - Drive predictable delivery through realistic commitments and visible progress tracking, while partnering closely with Product to present clear options with tradeoffs.

- 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 - Proven track record of maturing SDLC and agile delivery practices across multiple teams - Minimum of 8 years' professional experience in data engineering, analytics engineering, or BI development - 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 - Ability to write clear, concise documentation - Understanding of secure data practices and least-privilege access - Strong understanding of dimensional modeling and common data design patterns