Address
Form of work
SalaryRemote, United States
Talent and Recruiting
About Netflix:
Netflix is one of the world's leading entertainment services with over 260 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.
About the role:
At Netflix's Talent Acquisition Operations (TA Ops) Enablement team, our mission is to drive operational excellence and value generation by empowering our teams with robust, scalable and innovative infrastructure and solutions.
We're in search of a dedicated Operations Manager to lead the Operational Data Solutions (ODS) program. ODS is a strategic pillar within Enablement and is dedicated to providing our internal customers with data solutions that enable them to navigate complex operational challenges.
Given the early stage of ODS, you will play a pivotal role in shaping the program's vision and direction. Your foundational contributions will involve establishing the ODS program infrastructure, including a product development approach, delivery methodologies and performance metrics. As the team is projected to remain streamlined (totaling three members), you’ll also be hands-on, executing requests such as data pulls, report creation, analytics, and more, catering to diverse needs from Talent Acquisition and our Ops teams.
Beyond delivery, you will be defining and steering the ODS product strategy and overseeing the entire product lifecycle. Your expertise in data and analytics will be key in ensuring that the solutions we develop are not only technically sound but also align with the practical needs of our customers.
You will champion agile and lean methodologies within our team. This involves promoting a mindset of iterative development, rapid prototyping, and continuous feedback. Your leadership will ensure that the team remains flexible, responsive, and focused on delivering tangible value through user-centered products and services.
In this role, your expertise in program management and agile product development, coupled with your understanding of operational data and business acumen, will be key in helping us realize the ODS mission and drive operational excellence across our teams.
Lead the strategic and programmatic operations of the ODS team
- Build the programmatic infrastructure of ODS, including the ODS work system, work intake, product catalog, product development approach, etc.
- Develop Objectives & Key Results (OKRs) and operational metrics (e.g. Key Performance Indicators, Service Level Agreements) ensuring high-impact and efficient operations
- Develop and operationalize data governance-related policies, processes and standards to support our commitment to data quality and integrity
- Act as the primary point of contact for escalated issues within ODS, ensuring effective resolution of high-priority or complex problems
Manage the end-to-end data solution development lifecycle
- Lead the end-to-end management of data solution development projects, from initial concept through to deployment and user adoption.
- Lead the team through iterative solution development, focusing on building MVPs to test hypotheses and gather user feedback
- Establish and maintain agile, lean startup and user-centered development processes, ensuring efficient and effective design, development, testing, and implementation of data solutions
- Lead project and development management, including developing schedules, tracking key milestones, solution launch plans and contingencies for high-risk deliverables
Develop and execute the ODS product strategy
- Formulate and execute a comprehensive product strategy for ODS data solutions and services
- Develop concise problem statements, success criteria, and Minimally Viable Product Experiments (MVPe), driving for scalable solutions while also delivering value as early as possible
- Manage and coordinate product roadmaps, ensuring alignment with organizational objectives and stakeholder feedback, and achieving measurable progress against OKRs and KPIs
Who you are:
- 3+ years of experience in TA Operations with a focus on data solutions including operational & performance metrics (e.g. time to fill, time to hire, quality of hire, candidate experience, cost per hire, conversion/efficiency/funnel metrics, headcount attainment, etc.) and modeling & forecasting (e.g. hiring demand forecasting, recruiting capacity modeling, interviewer capacity modeling, etc.)
- Product/Solution design methodologies (e.g. Lean Startup, Design Thinking, User-Centered Design, etc.)
- Iterative and incremental work methodologies (e.g. Agile, Kanban, Scrum, etc.)
- Data and reporting technical capabilities (e.g. SQL, Tableau, Looker, statistical methods, etc.)
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 $230,000 - $530,000
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 here.
Netflix is a unique culture and environment. Learn more here.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
