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Sr. AI Solution Analyst, Finance PMO
Los Angeles,California,United States of America; Los Gatos,California,United States of America
·
On-site
·
Full-time
·
1mo ago
Compensation
$215,000 - $340,000
Benefits & Perks
•Healthcare
•Mental Health
•401(k)
•Equity
•Flexible PTO
•Family Forming benefits
•Disability Programs
•Healthcare
•Mental Health
•401k
•Equity
Required Skills
AI
Machine Learning
RPA
Process Analysis
Google Gemini
OpenAI ChatGPT
Zapier
Automation Anywhere
UiPath
Celonis
Change Management
Training Development
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Role Description
In this new role within the Finance Program Management Office (PMO), under the Process Excellence track, you will play a critical role in optimizing our organization's operational efficiency and effectiveness by accelerating the identification, prioritization, development, and deployment of intelligent automation solutions. You will be responsible for collaborating with business users to analyze existing business processes, identify areas for improvement, and implement cutting-edge solutions to enhance productivity, streamline workflows, and enhance productivity. Hands-on experience with designing and building solutions, including agentic AI, is essential for this role. Experience with developing and deploying training and upskilling curricula to drive successful adoption is a must-have for this role.
This role sits within Finance and will require close collaboration with Finance stakeholders and product/engineering teams. This is a hybrid position that can be based in either Los Angeles or Los Gatos and offers the flexibility to work remotely part of the time. Occasionally, travel may be required to other office locations, including internationally.
Responsibilities
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Collaborate with business users to identify and prioritize appropriate use cases for AI tools
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Drive the identification and prioritization of automation use cases with stakeholders across the Finance organization to ensure we are applying automation solutions with the most impact
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Develop and deploy solutions to improve workflows using existing intelligent automation technologies within the Netflix application portfolio (e.g., Gemini, Zapier and others)
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Partner with engineering teams and participate in design sessions, helping to enable the design and scaling of intelligent automation solutions
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Facilitate user acceptance testing, document the test results, and help procure business approvals
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Own the change management and communication when going live with a new process and/or automation
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Develop and deploy intelligent automation training curricula to upskill our Finance workforce and drive GenAI adoption
Qualifications
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7 years of overall hands-on experience designing and building intelligent automation solutions such as RPA, ML, and AI to improve workflows
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Proven ability to prototype solutions and work cross-functionally to enable the design and scaling of intelligent automation solutions
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Experience building AI agents that are scalable using existing technology platforms
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Demonstrated proficiency using automation tools and GenAI solutions like Google Gemini, OpenAI ChatGPT, Zapier, Automation Anywhere, Ui Path Celonis, and others.
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Expertise in performing process analysis and a strong understanding of Order to Cash, Procure to Pay, and Record to Report processes.
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Effective cross-functional collaborator with creative and technical teams.
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Passion for continuous learning and thought leadership in AI
Generally, 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 $215,000.00 - $340,000.00.
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 details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion 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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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
L3
L4
L5
L6
Mid/L4
Senior/L5
L3 · Data Scientist
0 reports
$242,500
total / year
Base
-
Stock
-
Bonus
-
$206,125
$278,875
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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