Service BI Analytics Lead

About the Team

The Consumer Device Service team is responsible for building the post-purchase experience for a new category of AI-powered hardware products. The team works across Support Warranty Returns Reverse Logistics Product Quality Commerce Finance and Operations to ensure customers have a seamless ownership experience after purchase.

About the Role

As a Service BI / Analytics Lead you will define how Service measures understands and improves the customer experience across the full hardware service lifecycle from onboarding and troubleshooting to warranty claims replacements repairs reverse logistics and loyalty outcomes.

You will build the analytics foundation and insight engine that powers decision-making across Service. This includes defining metrics building reporting systems forecasting warranty and service demand modeling unit economics and surfacing insights that help improve both customer experience and operational discipline.

Were looking for people who can operate at both strategy and execution depth are comfortable building analytics systems from first principles and can turn imperfect data into clear recommendations in a 01 environment.

This role is based in San Francisco CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees.

In this role you will:

• Define the Service analytics strategy including core metrics reporting logic and decision frameworks across customer experience operational performance warranty and cost.

• Create a unified analytics model across Support Warranty Returns Reverse Logistics Product Quality Commerce and Finance.

• Partner with Data Engineering and systems teams to build the data models pipelines joins and semantic layers required to support hardware service analytics.

• Build reporting capabilities for returns and warranty including replacement repair RMA depot reverse-logistics and finance-reconciliation flows.

• Establish source-of-truth data across accounts devices orders claims logistics events diagnostics and support interactions.

• Lead forecasting for total warranty return rate warranty cost and related operational demand using quality signals telemetry claims history install base policy assumptions and launch cohorts.

• Define and measure service unit economics including cost per shipped unit cost per active unit cost per contact cost per claim and cost per resolved case.

• Build scenario models that inform replacement planning repair demand return exposure inventory needs staffing and broader service investment decisions.

• Lead deep-dive analyses on cost of quality claim drivers repair vs. replacement tradeoffs churn and loyalty drivers and opportunities for differentiated care programs.

• Identify root causes of returns replacements repairs and negative service outcomes by connecting support product-quality telemetry and logistics data.

• Partner with the broader hardware operations team on analytics related to supply and demand planning parts availability replacement inventory risk and launch readiness.

• Work cross-functionally with Product Engineering Product Quality Reverse Logistics Commerce Finance and Support Operations to turn data into clear recommendations and decisions.

• Build executive dashboards and operating-review materials that make service performance risk and opportunity easy to understand.

• Shape the roadmap for analytics investments across systems reporting forecasting and insight generation.

• Over time hire and lead a small high-impact analytics team as the hardware service organization scales.

You might thrive in this role if you:

• Have 812 years of experience in BI analytics data science or a related function ideally in consumer hardware customer support warranty operations or reverse logistics.

• Have strong SQL data modeling and analytics fundamentals with the ability to work across raw operational data and executive-level insights.

• Have experience building analytics systems KPI frameworks and reporting from 01.

• Have experience with forecasting operational modeling unit economics and scenario planning.

• Have strong judgment in ambiguous environments and can turn imperfect data into actionable direction.

• Can influence cross-functionally across Operations Product Engineering Finance and Support.

• Have experience leading or are ready to lead a lean team while setting a high bar for analytical rigor.

• Have experience with warranty claims returns repairs RMA or reverse-logistics analytics.

• Have familiarity with product quality reliability analytics or cost-of-quality frameworks.

• Have experience designing semantic layers KPI governance or source-of-truth metrics across multiple teams.

• Have worked in global support multi-market service environments AI-enabled support operations agent tooling or telemetry-driven service models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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