Manager, Portfolio Management Strategy and Data Analytics

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.

The Portfolio Management (PM) Data Analytics team is the analytics engine behind Portfolio Management - owning the tools and reporting infrastructure that Netflix planners and strategists rely on to make decisions at both site and portfolio scale.

We are seeking a Manager, PM Strategy & Data Analytics:  a senior individual contributor who brings strong depth in space planning and portfolio management to advance the team's analytical capabilities. This person will report to the Senior Manager of Portfolio Management Data Analytics. They will be a PM strategic partner at all levels: from PM Director to regional PM planners and the Netflix Design team.

The ideal candidate has:

• Done the work, from managing space at the site level to shaping the metrics and tools that inform enterprise-wide real estate decisions. 

• Will bring deep experience on in-house corporate real estate or space planning teams.

• Bring clarity to complex problems, combining diverse datasets and understanding the balance between hard numbers and qualitative inputs. 

WHAT YOU'LL DO:

• Space Strategy & Occupancy Intelligence

• Serve as the PM Data Analytics subject matter expert on space programming, occupancy planning, and portfolio metrics. Serve as a strategic partner for Portfolio Management Managers and Space & Occupancy teams globally.

• Lead the development of long-term headcount forecasting in partnership with Finance, including analysis of  site impacts across all regions.

• Own the development and ongoing evolution of core space planning tools used by planners across regions: such as: Program Calculator, Space Type Dictionary, Site Planning Guidelines, or Workplace Insights Survey.

• Translate site-level occupancy data into portfolio-scale insights: connecting qualitative and quantitative data points into a coherent narrative to inform Netflix Portfolio Management. 

• Analytics, Reporting & Data Infrastructure

• Own and evolve core reporting cadences: weekly and monthly utilization attendance and utilization reports and quarterly headcount forecast refreshes.

• Build and maintain dashboards and reporting tools in Looker, Tableau and other platforms.

• Contribute to Portfolio Insights sessions and executive-level documentation.

• Support the development and maintenance of the PM microsite and reference toolkit, ensuring planners globally have access to current resources.

• Collaborate with the PM Data & Systems Team to ensure the health, accuracy, and scalability of Portfolio Management's analytics infrastructure:  including CAFM systems (Serraview/Eptura), sensor platforms (Freespace), and integrated data pipelines

• AI-Powered Tools & Innovation

• Familiarity with leveraging Ai tools for data analytics initiatives.

• Engage in the development and iteration of AI-powered tools within PM workflows: attendance forecasting, floor plan analysis, scenario planning, and reporting automation.

• Stay current on emerging Ai capabilities and proactively identify opportunities to apply them.

WHAT WE'RE LOOKING FOR

Required:

• 8+ years of experience in space planning, occupancy strategy, or workplace analytics.

• Demonstrated experience from tactical, site-level work to global portfolio responsibilities.

• Proven experience on an in-house corporate real estate team or similar. You've owned programs, tools, and data end-to-end, not just delivered recommendations.

• Deep fluency in space programming, occupancy metrics, and real estate strategy. You can read a floor plan, interpret sensor data, and translate both into a portfolio narrative.

• Proven experience building and maintaining tools using AI, with strong AI proficiency across relevant use cases: floor plan analysis, attendance forecasting, scenario planning, and reporting automation.

• Expertise in Looker and Tableau, with a track record of building interactive, insight-driven dashboards.

• Experience with CAFM systems, occupancy sensor and meeting room booking technology and data.

• Proficiency in Google Suite, particularly Google Sheets for advanced data analysis.

• Based in Los Angeles, CA, Los Gatos, CA or New York, NY office, with the ability to work in-office 3 days per week.

Preferred:

• Degree in Architecture, Interior Architecture, Space Planning, Data Science, Business Analytics, or related fields  or equivalent experience.

• Strong understanding SQL, Python, and/or R skills for data extraction, manipulation, and analysis.

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.