Business Operations Manager, Reality Labs Finance

Lensa; Sunnyvale (CA); On-site; USD 128,000 - 187,000; Full time

Job summary

An established industry player is seeking a Business Operations Manager to join their Reality Labs Finance team. This role involves developing data-driven forecasting models for Mixed Reality and Wearables, utilizing analytical tools like SQL and Tableau. The ideal candidate will thrive in a cross-functional environment, collaborating with various teams to drive business performance. You'll play a crucial role in shaping financial strategies and insights that impact the organization significantly. If you're passionate about finance and technology, this opportunity offers a chance to make a substantial impact in a rapidly evolving field.

Qualifications

• 6+ years of experience in finance, analytics or business strategy.
• Experience managing end-to-end forecast processes and using SQL/Tableau.

Responsibilities

• Develop data-driven models for forecasting unit volumes of Wearables/MR products.
• Collaborate with cross-functional teams to enhance product performance insights.

Skills

Forecasting Models

Data Visualization

SQL

Tableau

Business Strategy

Analytical Skills

Collaboration

Process Improvement

Education

Bachelor's degree in Math, Statistics, Economics, Computer Science, Physics, Engineering

Advanced degree (MS or PhD) in quantitative field

Tools

Excel

Google Sheets

Job description

Business Operations Manager, Reality Labs Finance

Sunnyvale, CA

Finance and Business Planning is a highly mission-driven organization - our mission is to enable Meta to plan, prioritize, and execute as effectively as possible. We take a uniquely long-term view towards business problems. It is critical that we operate with an independent and objective perspective, and are comfortable representing our point of view to our partners and executive stakeholders. We serve as financial advisers to our business partners and own shared business goals and results where appropriate. We strive to balance our responsibility to support business partners with our responsibility to serve the long-term mission and sustainability of Meta and act as stewards of company resources.

The Go-to-market Finance team oversees unit volume forecasting, hardware and software revenue forecasting, retail contract review, OpEx management and decision-making support. We focus on using our unique view into the numbers to identify trends and opportunities that are developing within the company as well as across the industry.

You will join the team that manages the finances for Reality Labs, Meta's division for Mixed Reality (MR) and Wearables product lines. In this role, you will be responsible for developing data-driven models and tools for forecasting unit volumes across Wearables/MR product portfolio. The ideal candidate will have experience in building forecasting models, with tools such as SQL and Tableau, and distilling strategic insights and performance narratives for executive audiences. The ideal candidate will have experience working in highly cross-functional environments with a focus on business partnering and building relationships. You will gain invaluable experience in a position that offers significant responsibility and interaction with analytical and business leadership and a considerable opportunity to have a large impact within a growing consumer hardware Finance organization at Meta.

Required Skills:

1. Develop models to predict unit sales of Wearables/MR hardware products
2. Create KPIs to measure and explain performance of the business
3. Query and visualize data from internal systems to develop insights into trends and opportunities
4. Collaborate with analytical, product, sales, demand planning, and finance teams to develop a robust understanding of product performance
5. Create strong business partnerships with Product Marketing, Sales, and Finance leadership overall
6. Up level existing planning, budgeting, and reporting capabilities with modeling contributions
7. Drive process improvements by partnering with up-stream process owners and enhance current tools/systems related to financial management
8. Provide financial leadership across planning, budgeting, forecasting and long-range planning

Minimum Qualifications:

1. Bachelor's degree in Math, Statistics, Economics, Computer Science, Physics, Engineering, or other quantitative field
2. 6+ years of experience in finance, analytics or business strategy
3. Experience managing end-to-end forecast processes across monthly, quarterly and annual cycles
4. Experience forecasting and modeling techniques that support various types of strategic analytics (i.e., time series forecasting, new product entry, scenario planning)
5. Experience partnering with and influencing functional leaders
6. Experience balancing technical expertise with strategic experience
7. Experience using data, analytics and visualization technologies including SQL or a similar database querying language, Tableau, and/or advanced analytical skills using Excel and Google Sheets
8. Proven experience working and delivering multiple projects simultaneously, with deadlines and changing priorities

Preferred Qualifications:

1. Experience with consumer and enterprise business models
2. Advanced degree such as an MS or PhD in quantitative field

Public Compensation:

$128,000/year to $187,000/year + bonus + equity + benefits

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].