
Senior Data Operations Leader
4 days ago
**Job Title:** Senior Data Operations Leader
About the RoleWe are seeking an experienced leader to oversee the end-to-end management of our enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives.
Key Responsibilities:
- Lead and manage a team of data professionals responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
- Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
- Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
- Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
- Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
- Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
Must-Have Skills:
- Experience managing a team of data engineers in biotech/pharma domain companies.
- Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
- Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
- Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
- Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
- Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
- Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
- Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
Good-to-Have Skills:
- Data Engineering Management experience in Biotech/Life Sciences/Pharma
This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development.
OthersWe offer a dynamic and supportive work environment, with a focus on collaboration and teamwork. If you are a motivated and experienced professional looking for a new challenge, please apply today
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