Veeva9mo ago

Engineering Manager - Analytics Platform

Israel - Kiryat OnoFull-Timemid

EngineeringData ScienceDevOps & InfrastructureManagementEngineering Manager

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Quick Summary

Overview

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

Technical Tools

EngineeringData ScienceDevOps & InfrastructureManagementEngineering Manager

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 $3B 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.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Crossix Analytics, a business within Veeva, is dedicated to advancing healthcare marketing with AdTech analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved advertisement and patient outcomes.

As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique Veeva Analytics Platform.

Build and lead a team of professional software and DevOPs engineers responsible to deliver high-quality software solutions

Provide technological and managerial coaching to R&D team members based on extensive hands-on and managerial experience

Ensure efficient CI/CD and testing coverage

Be accountable for group commitments

Cooperate effectively with Data scientists on productization of prediction data pipelines

Substantial experience leading a group of at least 6 engineers

5 years of experience as as a people manager

Experience in leading DevOPs

Experience with cloud ecosystems (preferably AWS) and BigData technologies

Proactive involvement in architectural decision making. Capable and desires to keep close to the technical details

Understanding the big picture, providing engineering direction throughout the product life cycle and deriving priorities

Hands-on experience and mindset, with expertise in Java