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Data Product Manager - Analytics Engineering

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National Basketball Association (NBA)

1mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Product
  • New York

AI generated summary

  • You need a degree in a quantitative field, 6+ years in data engineering, 2+ years managing teams, cloud tech experience, DBT expertise, and strong communication skills.
  • You will design and implement data pipelines, lead analytics engineers, automate data needs, document best practices, drive infrastructure requirements, convert tasks into Jira stories, and innovate analytics strategies.

Requirements

  • Degree in one of the preferred fields: engineering, economics, statistics, computer science, or related quantitative field.
  • 6+ Years of demonstrated experience working as a data engineer or analytics engineer
  • 2+ years of experience managing analytics engineering or data engineering teams
  • Experience with cloud-based technologies (Snowflake, Azure, etc.)
  • Experience leading data QA Experience in Azure DevOps, Jira, Asana, or other PM software
  • Expert-level experience with DBT
  • Experience with Azure DevOps, Git
  • Demonstrated experience in leading large, complex projects with multi-function team members
  • Fluent in building data transformation pipelines, dimensional models, and data marts using one or more ETL or Transformation tools (Preferred: dbt)
  • Proven track record explaining complex analyses and outcomes to technical and non-technical stakeholders.
  • 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 communication skills with the ability to translate complex concepts into simple and intuitive communications

Responsibilities

  • Responsible for data collection and processing for core lines of business and will collaborate with various data scientists, instrumentation experts, and engineering teams to identify requirements that will derive the creation of data pipelines.
  • Design and implement scalable, extensible, and highly available data pipelines on large volume data sets, enabling actionable insights, strategy, and ML workloads for the organization.
  • Responsible for leading a team of external data and analytics engineers to ensure best-in-class processes and deliverables supporting your Data Science, Insight, & Strategy partner organization across the entire data journey from Descriptive to Predictive with key responsibilities for pipeline creation, reporting, and data visualization across the commercial business.
  • Provide coverage on ad-hoc data and analysis from diverse partners and automate those needs over time.
  • Document and implement best dbt practices. Conduct code reviews and highlight opportunities to use advanced dbt features (macros, incremental jobs, etc.) to keep code clean and readable.
  • Drive requirements for data infrastructure and engineering teams to build data integrations, robust tools, and infrastructure.
  • Convert requirements into Jira stories and provide milestones.
  • Enable a culture of innovation by staying up to date with the latest Analytics Engineering trends/emerging technologies and looking for opportunities to improve the data tech stack.

FAQs

What is the job title for this position?

The job title is Data Product Manager - Analytics Engineering.

What is the work arrangement for this position?

The position requires 4 days/week in the New York, NY office.

Is COVID-19 vaccination required for this position?

Yes, any individual working onsite in the New York and New Jersey offices must be fully vaccinated against COVID-19, with accommodations discussed for those unable to be vaccinated due to specific reasons.

What is the primary responsibility of the Data Product Manager – Analytics Engineering?

The primary responsibility is the technical management and growth of the NBA’s fan data platform.

What type of projects will the Data Product Manager be involved in?

The Data Product Manager will manage partner contracts, optimize workflow efficiencies, prioritize inbound data requests, reduce work in progress, and ensure projects meet deadlines across various initiatives, including NBA team fan data and Direct-to-Consumer (DTC) efforts.

What are the major responsibilities of this position?

Major responsibilities include data collection and processing, designing and implementing data pipelines, leading a team of analytics engineers, automating ad-hoc data needs, and documenting best practices for data transformation.

What educational background is required for this position?

A degree in engineering, economics, statistics, computer science, or a related quantitative field is required.

How many years of experience are needed for this role?

The role requires 6+ years of experience working as a data engineer or analytics engineer and 2+ years managing analytics engineering or data engineering teams.

What tools and technologies should candidates be familiar with?

Candidates should have experience with cloud-based technologies (Snowflake, Azure), DBT, Azure DevOps, Jira, Git, and data transformation tools.

What soft skills are necessary for this position?

Necessary soft skills include strong collaboration, excellent written and verbal communication skills, critical thinking, and the ability to translate complex concepts for diverse audiences.

What is the salary range for this position?

The salary range is between $150,000 and $175,000.

Are there any specific project management tools utilized in this role?

Experience with project management software such as Azure DevOps, Jira, or Asana is essential for this role.

Will the Data Product Manager be involved in team management?

Yes, the Data Product Manager will lead a team of external data and analytics engineers.

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National Basketball Association (NBA)

#bringyourgame

Entertainment & Media
Industry
1001-5000
Employees

Mission & Purpose

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 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.