Senior Manager, Ads & Promotions Analytics

DoorDash Ads aims to become the most transparent and effective advertising channel for merchants, brands, and ad buyers of all sizes to market their offerings to engaged local audiences. The team builds products that are easy to use, generate incremental value for advertisers, and help consumers discover and engage with brands they love while saving money. As the analytics team, the goal is to advance product development, deepen understanding of the business, and identify opportunities to drive toward key objectives.

About the role

As the leader of a large, high-performing team of data scientists, you will own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You will guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing for consumer and merchant outcomes. In your first few months, you will establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report to the Senior Director of Analytics on the Ads team.

Responsibilities

• Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways.
• Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics.
• Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions.
• Apply advanced analytical methods—such as cohort analysis, regression modeling, and experimentation—to identify growth opportunities and guide strategy.
• Thrive in a fast-paced, high-pressure environment, staying creative and resourceful in solving complex problems with limited resources.

Requirements

• 8+ years of experience in data analytics, consulting, or a related field, with executive communication skills to translate data into business impact.
• Experience as an empathetic and effective people manager who prioritizes coaching, development, and team alignment.
• Deep expertise in SQL, A/B testing, and statistical analysis (e.g., hypothesis testing, regression modeling, experimentation).
• Hands-on experience with funnel optimization, user segmentation, and time-series analysis, with the ability to guide others in applying these techniques.
• Ability to navigate ambiguity, influence executive stakeholders, and deliver results under pressure.

Benefits

• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) plan with employer matching.
• 16 weeks of paid parental leave.
• Wellness benefits and commuter benefits match.
• Paid time off and paid sick leave (flexible PTO for salaried roles; accrued vacation and sick time for hourly roles).
• 11 paid holidays.
• Disability and basic life insurance.
• Family-forming assistance and a mental health program.

Pay

The national base pay range for this position within the United States is $219,700—$323,000 USD. In addition to base salary, compensation includes opportunities for equity grants. Base salary is localized according to an employee’s work location, and ranges are market-dependent.

Schedule

• 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).