Manager, Finance Data Science & Engineering

1 Month ago • All levels • Finance • Data Analyst • $360,000 PA - $920,000 PA

Job Summary

Job Description

The Manager, Finance Data Science & Engineering at Netflix will lead a team of analytics engineers, collaborating with various departments (Accounting, FP&A, Strategy, etc.) to improve financial systems and data management. Responsibilities include building data pipelines, analytic tools, and applying data science techniques (like ML and text mining) for optimization in areas such as vendor management and cash flow prediction. The role requires strong communication, cross-functional collaboration, and a deep understanding of Netflix's business operations. The ideal candidate will have experience leading hybrid Analytics and Data Science teams in a finance context, ideally within tech, media, or entertainment.
Must have:
  • Lead and grow high-performing teams
  • Build data pipelines and analytic tools
  • Apply data science techniques for optimization
  • Strong communication and cross-functional collaboration
  • Deep understanding of Netflix's business
Perks:
  • Comprehensive benefits including health plans, mental health support, 401(k) with employer match, stock options, paid time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 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.

The Finance Data Science and Engineering team partners closely with Accounting, FP&A, Strategy, Treasury, Tax, and the other teams in our CFO organization.  We also work closely with our Engineering and Product Management teams to influence and manage data and products for our business partners.  We’re on a multi-year journey to improve our financial systems, data management, build data science capabilities, and drive optimizations in our “business of the business.”

As a leader in this domain, you’ll work closely with partner teams to think big picture about our business goals and how we achieve them through the application of data and science.  Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build solutions, and provide recommendations and drive success.

The Responsibilities:

  • Lead, inspire, and grow high-performing Analytics Engineers, and integrate work from Data Engineering and Data Science partners.  This includes guiding the team to define metrics and data models, build data pipelines, build analytic tools, and influence through analytic projects.

  • Create a vision and build a portfolio of solutions ranging from data and analytic products through models and applied AI.

  • Identify areas of finance that can be improved or optimized through the application of data science techniques, such as text mining and ML to improve vendor management, predictive models for cash flow management, and classification models for optimizing incentive programs.

  • Take a consultative approach to develop and deliver strategic insights to improve or optimize multiple areas of finance.

  • Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how Netflix operates as a business.

  • Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.

The Ideal Candidate: 

  • Has experience building and leading hybrid Analytics and Data Science teams in the Finance domain of medium-sized businesses, ideally in tech, media, or entertainment industries.

  • Is deeply experienced with data warehousing and analytic concepts, and has applied data science experience in the Finance domain.

  • Superbly communicates - you must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences. 

  • Has a proven track record of partnering cross-functionally with embedded analytic, engineering, and product teams.

  • Has demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, propose solutions, and overcome challenges.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits.


Netflix has a unique culture and environment.  Learn more. 

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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