Ref#: R0019296

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.

Check out our blog here:  https://engineering.indeedblog.com/talks/

Your job.

The Head of Data is responsible for leading the strategy and execution of all data infrastructure, data analytics, data science, data governance, data warehousing and business intelligence.  You will serve as Group Manager for the global Data platform.

Data-driven decision making is critical at Indeed.  By way of example, Indeed’s primary analytical tool has over a half million queries executed against it daily by internal users, many of which are programmatic.  Of those daily queries, 100k are sourced from a purely interactive web app.


The Head of Data will work closely with business executives and senior functional leaders to develop & execute on product vision and technical requirements.  You will also drive the overall strategy with the following goals in mind, including our Key 2020 goals:

  • Create a single data platform for all customers, consolidate analytics tools, and ensure data quality

  • Accelerate the pace of data-driven decision making at Indeed

  • Ensure stability and performance of our data systems (both near and long term) 

  • Contribute directly to key business metrics: revenue and mutual engagements

  • Enterprise Data Model (2020): Create an enterprise data model to provide easy-to-access and high-quality data for all business units

  • Data Infrastructure Hybrid Cloud (2020): Re-platform our data infrastructure to ensure long-term stability and performance using a hybrid cloud approach 

About you.

  • 15+ years experience in Data Engineering

  • 7+ years leading a Data Engineering function

  • 7+ years experience using open source technologies 

  • Deep expertise in a data science or machine learning engineering environment.

  • Experience developing products based on advanced machine learning, statistical modelling and other data science techniques.

  • Full life cycle leadership and expertise managing the cycle  from data collection, aggregation, analysis, visualization, deployment and monitoring of data science solutions.

  • Capable of handling ambiguous business requirements with excellent prioritization, time management abilities, and a focus on execution.

  • Strong verbal/written communication skills

  • Extensive leadership experience -- leading meetings, presenting, building high performing teams, and being a cross-functional leader.

  • Experience working in and influencing diverse stakeholders in cross-functional teams, including engineers, product managers, content strategists



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