Partner with Product and senior leadership to define the vision for data engineering and reporting capabilities aligned with Technology and AI strategy
Job Summary
Partner with Product and senior leadership to define the vision for data engineering and reporting capabilities aligned with Technology and AI strategy.
Own the technical delivery of scalable data pipelines, ETL/ELT processes, and in-product reporting features including dashboards and self-service analytics.
Manage a high-performance team across multiple time zones while ensuring compliance with data governance, security, and regulatory requirements.
Matching Summary
Partner with Product and senior leadership to define the vision for data engineering and reporting capabilities aligned with Technology and AI strategy.
Skills & Requirements
Must-have
15+ years data engineering experience
5+ years leadership role experience
Databricks and Power BI expertise
AWS cloud infrastructure knowledge
ETL/ELT pipeline development
Team management across time zones
Nice-to-have
Mentoring direct and indirect reports
Strong stakeholder management skills
Experience with AI strategy alignment
Customer success collaboration
High-performance team culture building
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
15+ years total experience in data engineering or analytics
At least 5 years in leadership roles
Certifications in Databricks, AWS, or project management preferred