Data Engineering Manager, Commercial US
$308,880–$308,880 year
On-siteMorristown, New Jersey, United States
Job Summary
Lead a team of data engineers while designing, building, and deploying scalable data pipelines and products that enable analytics, AI/ML, and commercial business use cases. Provide architectural leadership across data pipeline orchestration, distributed processing, and cloud-native platforms, partnering with cross-functional stakeholders to translate business needs into reliable technical solutions. Manage delivery priorities, capacity planning, and execution across multiple initiatives while fostering engineering practices, accountability, and continuous improvement. Drive operational excellence through monitoring, troubleshooting, incident response, and the automation of data engineering processes. Report directly to the Head of Data Engineering within Sanofi's global digital transformation program.
Required Qualifications
- 6+ years of experience in data engineering, analytics engineering, or data platform development
- 2+ years leading or managing engineering teams
- Demonstrated experience designing, building, and operating scalable data pipelines, data platforms, and distributed processing solutions
- Experience with cloud-native data engineering and modern ETL/ELT solutions
- Advanced SQL and data modeling skills
- Experience with batch, near real-time, and streaming data architectures
- Strong understanding of data architecture, scalability, reliability, performance optimization, and operational support for enterprise-grade data platforms
- Demonstrated ability to work with technical and non-technical stakeholders to navigate ambiguity, identify underlying business needs, and translate them into scalable technical solutions and execution plans
- Strong communication, facilitation, and stakeholder management skills
- Experience partnering with cross-functional teams including analytics, AI/ML, product, infrastructure, security, governance, and business stakeholders
- Experience operating in agile delivery environments with strong understanding of software engineering practices, CI/CD, release management, testing, and operational support
- Experience leading engineering teams through delivery execution, prioritization, mentoring, performance management, and continuous improvement initiatives
- Bachelor's or Master's degree in Computer Science, Engineering, STEM, Business, or a related field, or equivalent practical experience
Desired Qualifications
- Experience in life sciences, healthcare, or pharmaceutical industries
- Experience with Airflow, dbt or similar orchestration and transformation tooling
- Familiarity with data governance, data quality, and commercial data domains such as omni-channel, pricing, customer engagement, or sales analytics
- Experience working with external vendors and offshore/onshore delivery models
- Informatica/IICS experience
- Scala or Java
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