DraftKings

DraftKings

Senior Technical Program Manager, Data

Boston, MA · Senior · Full-time

Sponsorship not specifiedDetected 112 days ago
SQLSnowflakeDatabricksKafkaData EngineeringAgentic AIResearchLeadershipCommunicationMentoringOrganizational Skills

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • 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.

Responsibilities

  • Own the Data App strategy for the Trading vertical, partnering with Product, Analytics, and Engineering to prioritize high-impact work, define roadmaps, measure success, and proactively identify opportunities before they become requests.
  • Drive execution across cross-functional initiatives by managing dependencies, surfacing risks early, aligning stakeholders, and maintaining visibility into delivery progress and business outcomes.
  • Champion AI adoption across Data, Engineering, and Analytics teams by identifying opportunities for automation, developing AI agents and reusable skills, and embedding AI-powered workflows that improve productivity and decision-making.
  • Contribute to the growth and effectiveness of the TPM organization by mentoring junior TPMs, sharing knowledge, documenting solutions, and developing frameworks, tooling, and best practices that elevate the broader team
  • Proven experience leveraging AI to transform team workflows, including building and deploying AI agents, automation solutions, or reusable skills that drive measurable improvements in productivity, delivery, or decision-making.
  • Strong SQL skills and a data-driven mindset with an ability to independently analyze data, validate assumptions, and use insights to inform decisions.
  • Highly organized and self-directed, with a track record of leading cross-functional initiatives, bringing structure to ambiguity, and building alignment across Engineering, Product, Analytics, and executive stakeholders.

Requirements

  • Your ability to connect business priorities with scalable data solutions will directly influence how we power and evolve our Sportsbook platform.
  • At least 4 years of experience as a Technical Program Manager, Technical Product Manager, Engineering Lead, or similar role within a data-intensive environment.
  • 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.

Nice to have

  • a Master's Degree is a plus.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • Hands-on experience with modern data platforms such as Snowflake, Databricks, or Sigma, along with a strong understanding of data pipelines, ETL processes, and data architecture.
  • Experience with Kafka or real-time streaming technologies is a plus.

Compensation

  • The US base salary range for this full-time position is 145,600.00 USD - 182,000.00 USD, plus bonus, equity, and benefits as applicable.
  • Your recruiter can share more about the specific pay range and how that was determined during the hiring process.

Benefits

  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Company info

  • 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.
  • abiity to anticipate needs, challenge assumptions, and drive meaningful outcomes.
  • Deep Sportsbook or iGaming domain expertise, with experience supporting Trading, Sportsbook, Gaming, or closely related functions; abiity to anticipate needs, challenge assumptions, and drive meaningful outcomes.
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This listing is sourced directly from DraftKings's careers page and normalized into a canonical job model.