Artificial Intelligence Jobs - VP Data Science & Engineering, 794

at ExecuNet
Location San Francisco, CA
Date Posted February 14, 2020
Category Default
Job Type Full-time


The Company is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Company, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. 

Reporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Company and the Wikimedia movement.

This role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.

Working closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.

Some examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  

You are responsible for:

  • Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)
  • Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure
  • Creating scalable engineering management processes and prioritization rubrics
  • Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Company taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.
  • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.
  • Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments
  • Contributing to our culture by managing, coaching and developing our engineering and data teams
  • Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation
  • Managing up to 5 direct reports with a total team size of 20

Skills and Experience:

  • Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems
  • 5+ years senior engineering leadership experience
  • Demonstrated ability to balance competing interests in a complex technical and social environment
  • Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.
  • Previous hands-on experience in production big data and machine learning environments at scale
  • Experience building and supporting diverse, international and distributed teams
  • Outstanding oral and written English language communications

Qualities that are important to us:

  • You take a solutions-focused approach to challenging data and technical problems
  • A passion for people development, team culture and the management of ideas
  • You have a desire to show the world how data can be done while honoring the user’s right to privacy

Additionally, we’d love it if you have:

  • Experience with modern machine learning, search and natural language processing platforms
  • A track record of open source participation
  • Fluency or familiarity with languages in addition to English
  • Spent time having lived or worked outside your country of origin
  • Experience as a member of a volunteer community