Data Product Manager - Analytics Engineering

The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League, and Basketball Africa League, the NBA has established a major international presence with games and programming available in 215 countries and territories in more than 50 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA rosters at the start of the 2021-22 season featured a record 121 international players from 40 countries. NBA Digital’s assets include NBA TV, NBA.com, the NBA App, and NBA League Pass. The NBA has created one of the largest social media communities in the world, with 2.1 billion likes and followers globally across all league, team, and player platforms. Through NBA Cares, the league addresses important social issues by working with internationally recognized youth-serving organizations that support education, youth and family development, and health-related causes.

The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19, including having received a booster when eligible. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance.

Position Summary:

This position is part of an expanding Data Science team with the mission to discover, inspire and engage fans worldwide. The Data Product Manager- Analytics Engineering will be primarily responsible for the technical management and growth of the NBA Leaguewide Data Platform. The Data Product Manager will additionally be responsible for managing partner contracts, optimizing workflow efficiencies, prioritizing inbound data requests, reducing work in progress, and ensuring projects meet deadlines. The Data Product Manager- Analytics Engineering will work to streamline data and information flows for NBA team fan data, NBA League Pass, nationally televised games, email marketing, in-app marketing, and other Direct to Consumer (DTC) initiatives. Successful candidates will have experience as both a hands-on analytics engineer and a product manager of data-intensive projects in a matrixed environment. The ideal candidate will learn the ins and outs of the fan and team data ecosystem and will operate as the Point Guard for all team-based fan data tasks -- knowing who to pass the ball to and scoring points when the path is clear.

Major Responsibility:

Lead technical management of the NBA Leaguewide Data Platform
Work with solutions architects, data scientists, data analysts, product managers, BI developers, and data engineers to scope tasks and ensure completion
Work with Business Solutions team, team data strategists, NBA Team analytics leads, and engineers on solutions management
Work with Fan Data Platform leads to increase throughput to Leaguewide Data Platform
Manage project management software and PM-software integrations for growing analytics team
Work with NBA Legal team and associates on ensuring contracts are correctly developed, followed, and fulfilled
Field in-bound analytics and technical requests from various groups
Understand team inefficiencies, work to reduce works in progress, and operationalize best practices in project management
Ensure the highest order of data quality and legal compliance
Report operational and project wins and losses
Ensure alignment with broader data product management functions
Collaborate with other teams to refine task needs and maximize team productivity
Work with Team-facing colleagues to ensure Fan Data Platform meets team needs

Required Skills/Knowledge:

3+ years as a data product manager or analytics engineer in a data-centric environment
3+ years experience in Azure Databricks or Snowflake
2+ years experience with SQL
2+ years experience with dbt
1+ years experience leading data QA Experience in Azure DevOps, Jira, Asana, or other PM software
Skilled in data analysis and data understanding
Drive to encourage others to maximize their potential
Excellent critical thinking with creative solutions to overcome challenges and meet business requirements
Strong collaborator who can work effectively within a matrixed organization to influence and drive results
Excellent written and verbal communications skills with the ability to translate complex concepts into simple and intuitive communications

Nice to Have:

Experience in sports data
Experience with Python or R

Education:

Bachelor's or advanced degree

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