Welcome to Warner Bros. Discovery... the stuff dreams are made of.
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 storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers 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.
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Manager, Analytics Engineering - Hyderabad, India.
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 & Audience Platform 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. The mission of the Content Lifecycle Analytics team is to enable WBD to leverage the world's most valuable content library and achieve market leading content-driven business success. We 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 customer growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape
Role Overview
As a Manager-Analytics Engineering at Warner Bros. Discovery, you will play a pivotal role in driving
the data and analytics strategy across various business data domains, including marketing, commerce, finance, customer, and content. Reporting to the VP of Content Lifecycle Analytics, you will lead a team of skilled data and analytics engineers to build and maintain state-of-the-art analytics solutions. Your work will support Warner Bros. Discovery's mission to deliver innovative and data-driven insights that empower global & regional teams across the company.
In this role, you will understand data relationships across domains, contribute to the design of reusable semantic models, and effectively communicate data findings and insights to non-technical stakeholders through storytelling, presentations, and reports. Collaboration is key, as you will work closely with cross-functional teams, including data scientists, data engineers, business analysts, and domain experts, to understand business needs and align data efforts with organizational goals.
Staying updated with the latest analytics tools, platforms, and technologies will be essential to your success. You will lead by example and teach best practices by demonstrating your own technical competency with these languages, tools, and technology platforms. You will also be responsible for ensuring data privacy, governance, and cloud cost management.
As a leader, you will promote a culture of experimentation and data-driven innovation, inspiring and motivating your team through internal and external presentations and other speaking opportunities. You will also play a key role in hiring, mentoring, and coaching engineers, helping to build an analytics & engineering team that prioritizes empathy, diversity, and inclusion
Responsibilities:
• Lead and mentor a team of analytics engineers, ensuring productivity, focus, and motivation in a dynamic environment.
• Design, review and develop analytical solutions by integrating data from multiple sources, including databases, APIs, and other sources.
• Build and maintain data pipelines to generate insights and support various business functions.
• Implement data validation and quality checks to ensure data integrity.
• Perform exploratory data analysis (EDA) to understand data distributions and relationships.
• Utilize analytical tools and techniques to uncover correlations, trends, variations, and outliers to gain a comprehensive understanding of the data your team works with.
• Employ data mining techniques to identify patterns or leverage data visualization to turn data into easy-to-understand visual formats like charts and graphs.
• Communicate data findings and insights to non-technical stakeholders through storytelling, presentations, and reports.
• Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and domain experts, to understand business needs and align data efforts with organizational goals with a focus on addressing customer pain points.
• Stay updated with the latest analytics tools, platforms, and technologies, such as Python, Spark, and Looker.
• Give and receive feedback to and from leadership, peers, and direct reports to promote positive development and growth.
• Deliver facts and decisions with empathy and transparency.
• Ensure data privacy, governance, and cost management.
• Promote a culture of experimentation and data-driven innovation.
Requirements:
• Bachelor's degree in computer science or a similar discipline.
• 10+ years of experience in data engineering, data science and analytics engineering.
• 2+ years of experience in engineering management, leading teams of data and analytics engineers.
• Expertise in analytical tools and frameworks, such as Looker, Tableau, or Power BI.
• Experience in AI-driven data analytics with cloud platforms, preferably AWS and Databricks.
• Proficiency in data modelling using OLAP databases, such as Snowflake and Databricks.
• Strong programming skills in SQL, Python, and Python-based data manipulation and visualization libraries.
• Experience with orchestration frameworks, such as Airflow.
• Familiarity with big data frameworks, such as Spark, and ML libraries, such as scikit-learn.
• Excellent data analytical and communication skills.
• Ability to work in a fast-paced, high-pressure, agile environment.
• Strong interpersonal, communication, and presentation skills.
• Ability to learn and teach new languages and frameworks.
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 www.wbd.com/guiding-principles/ 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.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. 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.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.