Senior Director - Engineering and Data Operations - OpenData

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Veeva Systems is looking for a Senior Director of Engineering and Data Operations for the OpenData team. You'll lead both the engineering and data operations teams responsible for designing, building, and launching data & software products that onboard, process, and manage healthcare reference data.
You will lead a mixed team of engineering and data operations professionals, serving as the strategic and technical expert who defines the platform's future scalability through sound architecture and technical guidance. This involves overseeing the data platform's lifecycle: from acquiring data (government, professional, and web sources) and ensuring its curation and quality, to providing the technical vision for the enterprise software platform. You’re passionate about building large-scale, data-focused platforms and excited about leading a high-performing development and operations team.

What You'll Do

• Lead a unified team encompassing both Engineering and Data Operations
• Serve as a hands-on technical leader who can help build and design the platform alongside the team
• Own the architecture, build, and delivery of a new software platform on AWS, encompassing all elements: data source ingestion, data pipeline, curation/standardization, data governance, and overall platform architecture
• Drive technical decisions and design, translating complex data source requirements and product vision into sound technical architecture
• Oversee and optimize data operations activities, including data acquisition, cleansing, standardization, and quality checking processes to maintain high-quality HCP/HCO profiles and affiliations
• Develop and implement data management policies and procedures to ensure data integrity, security, access, and compliance
• Collaborate closely with Product Management, QA, and other cross-functional R&D teams to manage priorities, backlogs, and deliver quality releases on time
• Provide leadership, guidance, and mentorship to foster a culture of technical excellence, collaboration, and quality within the team

Requirements

• 5+ years leading engineering teams, tech leads, and managers
• 5+ years of experience working on large-scale enterprise data products or platforms
• Experience driving the adoption of new data tools and cultural shifts within a large organization
• Proven experience in architecting and delivering Big Data solutions in a fully managed cloud data warehouse
• Experience in driving technical architecture decisions and owning the full development process for external-facing, scalable data products
• Deep expertise in data governance principles, data modeling, data warehousing, and ETL/ELT processes
• Strong experience with the acquisition, curation, and management of complex data sources, particularly involving healthcare or governmental data
• Experience hiring, developing, and leading high-performing engineers and analysts
• Experience driving the adoption of new data tools and cultural shifts within a large organization
• Experience building and managing products in an Agile environment

Nice to Have

• Strong experience with the acquisition, curation, and management of complex data sources, particularly involving healthcare or governmental data
• Deep experience with healthcare reference data or healthcare data in general

Perks & Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retire