Data Operations Manager

🕒 March 12

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Veeva Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

⚕️ Healthcare Insurance

💊 Pharmaceuticals

SaaS • Healthcare Insurance • Pharmaceuticals

Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.

📋 Description

• Own the operational lifecycle of the HCP Access data product • Monitor and investigate data pipeline health and data quality across ingestion, transformation, and delivery layers • Identify upstream data issues and coordinate with product and engineering teams to resolve root causes • Ensure customer-facing datasets are accurate, validated, and delivered on schedule • Lead dataset validation and release processes • Manage pre-release data validation and verification before customer delivery • Generate and validate final production datasets • Develop automated checks and data quality frameworks to detect anomalies and regressions • Build scalable data operations tooling and processes • Develop Python and SQL-based tools to automate monitoring, validation, and operational workflows • Improve observability across data pipelines and delivery processes • Reduce manual operational steps through automation and process improvements • Act as a bridge across technical and operational teams • Work closely with analysts, engineers, and product managers to ensure smooth data releases • Translate operational issues into actionable engineering improvements • Help define operational standards and best practices for data reliability

🎯 Requirements

• Bachelor's degree or equivalent professional experience. • Direct experience working as part of an enterprise data product team. • Strong technical foundation with fluency in Python and SQL for data analysis, development, or automation. • Experience designing and implementing business operations and process improvements within a technical team.

🏖️ Benefits

• Medical, dental, vision, and basic life insurance • PTO and company-paid holidays • Retirement programs • 1% charitable giving program