- 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.
- Bachelor's degree in computer science or Similar discipline.
- 16+ 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 skills
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Director, Analytics Engineering - hyderabad, India - 451 Discovery Comm. India
Description
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the bringing our characters to life, the bringing them to your living rooms and the creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Director – Analytics Engineering .
Company Overview
Every great story has a new beginning. We're excited to announce that Discovery and Warner Media have combined to become Warner Bros. Discovery. WBD is a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. We're home to the world's best storytellers, creating world-class products for consumers. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.
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:
Requirements:
How We Get Things Done...
This last bit is probably the most important Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
The Legal Bits...
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.