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VP, Digital Engineering

New York, NY, USA | Time Warner

  • Industry:
    Media / Entertainment
  • Position Type:
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
    10-12 years
Job Description:
67 people have viewed this job

The VP, Engineering will be charged with the development of new capabilities for news, leading to compelling experiences for the audience utilizing data at scale. In this role, you and your team will collaborate across the organization to design and deliver high-quality scalable solutions. You will be accountable for implementing data governance, data integrity, data engineering standards, data integration, and QA best practices. The ideal candidate for the role will be passionate about news, entertainment, and technology. He/She will have a deep understanding of the news industry and be a champion for the consumer. The candidate must be a "doer" who can execute as well as balance longer-term strategic thinking. The candidate will be part of a team that believes in working fast, being accountable, and learning from mistakes.

 

The Daily


Lead the development and implementation of a robust platform strategy to support business objectives

Partner with marketing, product, BI, development and content to plan and execute a comprehensive news and data roadmap

Use expertise to identify opportunities to leverage data and provide guidance to colleagues related to capture, analysis and productization of data

Develop an overarching data framework to successfully manage large amounts of data, ensuring compliance with regulations while maintaining data integrity and accessibility

Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks

Set priorities, mentor and provide technical direction to a team of engineers and project managers


The Essentials


10 years' experience developing high volume data environments

5+ years in a leadership role managing a team

Experience with machine learning and statistical analysis, programming and scripting capabilities

Proficient in data warehousing, dimensional modeling, and data architecture

Experience with Agile methodologies

BS in engineering or related field or equivalent experience, MS highly preferred

Expertise/experience in these key technical areas/domains

AWS Cloud platform tools

Data warehousing tools such as Dynamo DB, Oracle, SQL, Amazon Redshift, Snowflake

Data Modeling and System Analysis

Data Platforms. EMR, Data Bricks, AWS

Data Integration tools such as SQL, Spark, Scala, Python, Data Bricks, Airflowo R, Machine Learning

Experience with Digital Marketing tools for instrumentation and analytics analysis, such as Segment, Google Analytics, and Datorama 


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