Senior Manager, Ads & Promotions Analytics

About the role

As the leader of a large, high-performing team of data scientists, you’ll own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You’ll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes. In your first few months, you’ll 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 into the Senior Director of Analytics on our Ads team in our Ads & Promos organization.

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 the executive communication skills required to translate data into business impact.
• 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, and ability to guide others in applying these techniques.
• Scrappy and strategic, able to navigate ambiguity, influence executive stakeholders, and deliver results under pressure.

Benefits

• 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 (compliance with applicable laws, e.g., Colorado Healthy Families and Workplaces Act)
• 11 paid holidays
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Mental health program

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).

Pay

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