Senior Product Manager, Consumer Data Science

Overview

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

As a Senior Product Manager, Consumer Data Science, you’ll define and execute the vision for how DraftKings leverages machine learning, predictive analytics, and experimentation to personalize customer engagement across our promotional product portfolio. You’ll oversee a team of product managers, drive alignment across Sportsbook, Fantasy Sports, and Casino, and collaborate with leaders in Data Science, Engineering, Marketing, and Analytics to build systems that automate and optimize how we attract, retain, and engage customers. This is a high-impact, strategic role where you’ll scale foundational data science capabilities that power personalization and marketing performance across the organization.

Responsibilities

Define and drive the promotional Data Science product roadmap, spanning Sportsbook, Fantasy Sports, and Casino use cases.

Lead a team of product managers across business lines, fostering prioritization, alignment, and team development.

Translate business goals into structured product requirements for predictive models, segmentation logic, and experimentation frameworks.

Partner with Data Science, Engineering, Analytics, and Operations to deploy machine learning systems at scale.

Champion experimentation in your space—demonstrating business impact, evangelizing results, and incorporating learnings into future roadmaps.

Build and evolve shared infrastructure for experimentation, model governance, and decision orchestration across verticals.

Ensure end-to-end alignment from data ingestion through model deployment to drive automation, customer value, and marketing ROI.

Influence DraftKings’ broader data science strategy by advocating for scalable, ethical, and customer-centric applications of ML and analytics.

Qualifications

Bachelor’s Degree in Computer Science, Mathematics, Business, or a related field.

At least 7 years of product management experience, including 2+ years leading product or data science teams.

Proven success managing machine learning–powered or analytics-driven products that deliver measurable outcomes.

Deep understanding of personalization strategies, lifecycle marketing, and experimentation frameworks.

Strong ability to break down complex problems into scalable product strategies and data science roadmaps.

Familiarity with model development workflows, large-scale data infrastructure, and deployment best practices.

Exceptional communication skills, especially in distilling technical concepts for non-technical and executive stakeholders.

Experience balancing long-term vision with short-term delivery in highly cross-functional, fast-paced environments.

Background in sports, gaming, or consumer technology is preferred; experience in Sportsbook, Fantasy Sports, or Casino is a strong plus.

Join Our Team

We’re a publicly traded (NASDAQ : DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 136,000.00 USD - 170,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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