Manager, Analytics, Customer Experience

DoorDash

$184K — $271K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or related field
  • 6+ years in analytics, data science, or quantitative work with leadership experience
  • Experience managing and developing data scientists or analysts
  • Strong analytical skills in experimentation, predictive modeling, and metric design
  • Excellent cross-functional communication and stakeholder management abilities
  • Proficient prioritization skills in fast-paced environments
  • Experience in customer support, operations, or service-delivery is advantageous
  • Nice to have: experience with AI, LLM, or automation metrics in production.

Responsibilities

  • Lead and develop a team of data scientists, providing mentorship and career guidance
  • Set the analytical vision for the customer support experience and define metrics for success
  • Identify opportunities for improving customer interactions through data analysis
  • Inform and enhance teammate tools and workflows for greater operational efficiency
  • Collaborate with AI/ML teams to improve evaluation frameworks for support quality
  • Drive measurement strategy, experiment design, and statistical analysis best practices
  • Engage with senior leadership to present insights and influence strategic decisions.

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Comprehensive wellness benefits
  • Commuter benefits match
  • Paid time off and paid sick leave
  • Medical, dental, and vision insurance
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance
  • Mental health program
Full Job Description
About the Role

As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost - uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft.
You're excited about this opportunity because you will...
  • Lead, grow, and develop a team of data scientists - providing mentorship, feedback, and clear career development pathways.
  • Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it.
  • Uncover opportunities to drive perfect interactions, translating patterns in contact and resolution data into a prioritized roadmap for product and operations partners.
  • Inform improvements to teammate tooling and workflows, and quantify the tradeoff between customer experience quality and operations cost.
  • Partner with AI/ML teams to design evaluation frameworks that measure and improve support quality.
  • Drive measurement strategy for the area under scope, setting best practices around experiment design, statistical analysis, and success metrics.
  • Interface frequently with senior leadership across CX, Product, Engineering, and Operations to showcase your team's work and shape strategy with data.
We're excited about you because you have...
  • You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
  • You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
  • You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
  • You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
  • You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.
  • Comfort balancing quality and efficiency, ideally in a customer support, operations, marketplace, or service-delivery context.
  • Nice to have: experience measuring AI, LLM, or automation-driven products in a production setting.


Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).


The national base pay range for this position within the United States, including Illinois and Colorado.

$184,300-$271,000 USD

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