Head of Data Science, Product Pillar

Job Description

Head of Data Science, Product Pillar

We’re looking for a strategic leader who is passionate about leveraging data to drive product decisions and building a great team to do so. You’ll guide a team of data scientists with a focus on using data to build features that provide clarity about work for our users. You are someone who enjoys the challenge of balancing speed of results with robust statistical practice, deciding when to bias for one or the other based on product goals, as well as creating processes for your team that help them do the same. You are as enthusiastic about building and mentoring a team as you are about the challenging technical problems that you and your team will solve. Because the team is growing but still small now, you will balance your time between management and hands-on work with our product leaders, contributing work in experimentation, analysis and modeling.

You will lead a pillar within the Data Science team, focused on providing rich insights into how customers use Asana, designing and evaluating experiments that shape product and business direction, building models for both data-powered product features and internal operations, and advising teams around the company on the rigorous use of behavioral data for decision-making.

What you’ll achieve

• Manage a team of data scientists partnering with Asana’s Clarity product pillar
• Partner closely with Product Management, Design, and Engineering pillar leads to drive strategy for the Clarity pillar
• Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed of decision-making
• Guide data scientists in their technical and professional development
• Work closely with recruiting and other data team managers to expand the team
• Make your own hands-on contributions to the team’s data science work — designing and analyzing experiments, building ML models, and answering key questions with data

About you

• Experienced in managing a data science team solving product problems
• Experience managing a distributed team (in multiple geographic locations) is a plus
• Experience working with product design/development at a B2B SaaS company is a plus
• Kind and intellectually mature
• Focused on maximizing impact for yourself, your team, and Asana as a whole
• Comfortable with ambiguity; you enjoy figuring out what needs to be done — and then doing it
• Excited to partner with product teams on both large, strategic data projects and small, routine requests
• Strong technical background in computer science, statistics, math, information science, or another quantitative field
• Fluency in at least one modern language useful for statistics and/or data processing (e.g. Python, R, Scala)
• Proficiency with relational databases and SQL
• Proficiency with large-scale distributed data warehousing or processing platforms (e.g. Redshift, Hive, Spark, Elastic MapReduce) is a plus

About us

Asana helps teams orchestrate their work, from small projects to strategic initiatives. More than 75,000 organizations and millions of users rely on Asana, including AirAsia, AllBirds, Grab, KLM Air France, Kohl’s, Sephora, Traveloka, and Viessmann. Asana has been named a Top 5 Best Workplace and the #1 Best Workplace in the Bay Area by Fortune three years in a row, and one of Glassdoor’s and Inc.’s Best Places to Work. With nine global offices, including a San Francisco headquarters and flagship offices in Dublin, New York, Sydney, and Tokyo, Asana is always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status, and we'd love to learn about what you can add to our team.