Data and Analytics Director

2 weeks ago

New York, New York, United States NBC Universal Full time
About the Role

We are seeking a highly skilled Data and Analytics Director to join our team at NBCUniversal. As a key member of our Operations & Technology organization, you will be responsible for leading the Enterprise Data & Analytics Engineering team in creating data platforms, pipelines, and analytical solutions across our television, direct-to-consumer, studios, and parks businesses.

Responsibilities
  • Plan and execute data and analytics engineering programs, formulate strategies for solving business problems, and develop capabilities to scale the impact of data through the development of self-service analytics and insights.
  • Architect and build data solutions across multiple domains, specifically within Content Production Analytics.
  • Partner with data scientists, business solutions, enterprise product, and engineering teams to deliver data and analytics that advance our mission to be a data-driven company transforming the industry.
  • Implement scalable data processes to achieve 99.99% reliability and availability.
  • Grow the technical expertise of the team by building and leading a team of data engineers, ML engineers, data visualization and analytics engineers through hiring, coaching, mentoring, feedback, and hands-on career development.
  • Organize and socialize metadata resources, such as data lineage documents, data mappings, data dictionaries, training documents, knowledge base/wiki, etc.
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our data solutions.
Requirements
  • 10+ years of experience architecting and building data solutions at scale.
  • 5+ years relevant experience in delivering data platforms, data governance at an enterprise level and leading a data management and platform engineering team.
  • Hands-on production workload experience with cloud data platforms at scale (Snowflake, AWS Redshift, GCP Big Query and/or Azure Synapse).
  • Experience building data pipelines, ideally using SQL, Python, Spark, dbt, and orchestrated in Apache Airflow, MWAA (Amazon Managed Workflows for Apache Airflow); Google Cloud Dataflow is a huge plus.
  • Working experience unlocking the value of data with visualization tools (Tableau, Power BI, Looker, Data Studio).
  • Passion for data science and machine learning using R, Databricks and ability to operationalize models.
  • Expertise in data modeling and establishing data architecture across multiple systems.
  • Proficiency in Python, or willingness to grow into Python from your other scripting languages (i.e., Java, Scala).
  • Knowledge of data federation technologies (Starburst, Dremio, Presto) and working understanding of data models and how they impact performance.
  • Passion for learning, solving problems, and creating clarity out of ambiguity.
  • Proven track record of managing multi-million dollar budgets across a diverse portfolio ensuring financial targets are met and tied to prioritized delivery of business value.
  • Must be able to recruit, manage and develop talent - always sharing knowledge, providing feedback, challenging your teams, and reaching quick and equitable solutions.
  • Bachelor's degree in Computer Science, Information Systems, Data Science/Analytics, Business Administration, or equivalent experience.

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