Job Summary:

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
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The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers.

You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups.

You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results.

You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise.

Responsibilities:

• Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
• Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
• Selecting methods for performing advanced data analysis.
• Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
• Document logic in order to help engineering team to implement them.
• Build statistical models using tools specified above.
• Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
• Establishes, supports and maintains standards of the analytics and data analytics process.
• Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
• Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
• Performing ad hoc analysis, interpreting and communicating results in a clear manner
• Processing, cleansing and verifying the integrity of data used for analysis
• Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
• Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
• Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.