Director, Analytics Engineering

Job Description

Director, Analytics Engineering ( Data Platform)

Director – Analytics Engineering.

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com.

Meet our team:

The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system.
Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape

Role Overview

As a Director of Analytics Engineering - this individual will champion overall data data and analytics strategy across for various streaming and non-streaming data domains including but not limited to commerce, product, content analytics. This individual will lead a team of data and analytics engineers and help Max, Discovery+ and other content production studios within WBD more data driven. This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing data mart development, BI/Analytics, API Development, to improve data architecture and data product development efficiency.

Responsibilities:
• Help hire Data Engineers, Analytics Engineers, Data Analysts & Data Scientists to build and maintain the Analytics Product.
• Work closely with business to support analytics needs – including BI & AI driven analytics.
• Design scalable data products and evangelize them.
• Lead and mentor one or more Data and Analytics engineering team(s), make them productive, keep them stay focused and motivated in an intense and demanding environment.
• Work closely with higher management, various stakeholders to understand data platform requirements, create roadmap, keep track of the key milestones.
• Work closely with your team to architect and implement various data products which include data marts, data semantic layer, analytics, and third-party system integrations.
• Work closely with various business to roll out data product initiatives.
• Present data architecture, roadmap, plans, status, and risk to various stakeholders including higher management.
• Take ownership of the platform by enabling 24X7 support.
• Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
• Help with resource planning and budget to maintain the platform.
• Be responsible for infrastructure cost and improving efficiency.

Requirements:
• Bachelor's degree in computer science or Similar discipline.
• 15+ years of experience in Data & Analytics
• 7+ years of experience in engineering management, managing a team of 25+
• Prior experience and deep domain knowledge in Direct-to-Consumer Business based products is critical.
• Go above and beyond attitude – ready to roll up sleeves to meet business expectations.
• Ability to work in fast paced, high pressure, agile environment.
• Ability to lead one or more teams to deliver high quality data products.
• Expertise in at least few programming languages - Java, Scala, Python or similar.
• Expertise in building and managing large volume data processing (both streaming and batch) platform is a must – Apache Spark or similar
• Expertise in OLAP databases such as Snowflake or Redshift.
• Experience with Analytics Tools such as Looker, Tableau or similar.
• Experience in AI driven data analytics is a huge plus.
• Strong interpersonal, communication and presentation skills.
• Strong team focus with outstanding organizational and resource management skill.

If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.

Jobcode: Reference SBJ-g3z1nq-3-137-218-215-42 in your application.