Director - Member Data Engineering & Products

Netflix-posted about 2 months ago
$610,000 - $1,870,000/Yr
Full-time • Senior
Keystone, CO
Motion Picture and Sound Recording Industries
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Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Around the world, we connect hundreds of millions of people with the best television, films, live events, games, and more. And our product is at the heart of making these connections. To build best-in-class product experiences, we develop thoughtful long term strategies, bring the best talent together, and let them creatively problem solve with a strong and unique work culture. We are looking for a seasoned leader in the Member domain who can lead our data engineering, analytics engineering, and visualization engineering teams across our US and Poland offices. In this role, you will need to be both technical and strategic, and play a critical part in the evolution of our service to support a broader suite of entertainment offerings. You will look across our data stack to deliver data assets, analytics, and data products at scale. Your partnerships will extend in both directions - downstream to science/ML and business stakeholders, and upstream to our engineering and platform teams.

  • Develop and execute a comprehensive vision and strategy for the Data Engineering & Products department that aligns with Netflix's member domain goals.
  • Focus on near—and medium-term projects and deliver on a multi-year vision.
  • Drive innovation and best practices in data management and architecture.
  • Lead and inspire a team of high-performing data, analytics, and visualization engineers, fostering a culture of excellence, continuous learning, and a winning reputation for helping the business succeed.
  • Establish and nurture strong relationships across product, merchandising, data science, engineering, and platform leaders and partners, fostering collaborative success.
  • Mentor and grow individual team members and managers to reach their full potential through thoughtful observation and courageous, honest feedback.
  • Navigate and transform business risks into opportunities for growth, ensuring alignment and integration across the organization.
  • A visionary leader with deep expertise in consumer-scale distributed data processing and the delivery of analytical and data visualization products.
  • Experienced in leading departments with a strong background in big data technologies such as Hadoop, Spark, Kafka, and cloud platforms (e.g., AWS, Azure, GCP).
  • Proven in leading and developing high-performing teams across multiple priorities in a fast-paced environment.
  • An exceptional communicator with excellent analytical and problem-solving skills, capable of engaging with a broader, more senior stakeholder set.
  • Passionate about the customer, with a history of providing impactful data that influences product direction or customer experiences.
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
  • Full-time salaried employees are immediately entitled to flexible time off.
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