Senior Data Science Engineering Manager, Marketing

This role sets the strategy for how data science and machine learning power personalised experiences for millions of customers. It leads and grows a team of data scientists and machine learning engineers, turning complex opportunities into focused priorities and scalable solutions. In partnership with Product, Engineering, Marketing, and Revenue teams, the role connects technical investments to business priorities and measurable customer impact.

• Lead, coach, and develop a high-performing team of data scientists and machine learning engineers, strengthening the technical and leadership capabilities needed to deliver personalisation initiatives at scale.
• Set the team's strategy, roadmap, and priorities, translating business goals and ambiguous opportunities into high-impact data science and machine learning initiatives with clear measures of success.
• Partner with senior leaders across Product, Engineering, Marketing, Revenue, and Data Science to identify opportunities, navigate trade-offs, and connect technical decisions to customer and business outcomes.
• Guide the development and deployment of machine learning systems across the full model development lifecycle, establishing rigorous standards for design, development, testing, deployment, monitoring, and iteration.
• Influence the architecture of model-driven experiences, including data pipelines, feature generation, experimentation, batch and real-time serving, observability, and model lifecycle management.
• Advance software engineering and machine learning operations practices across the team, including automation, containerisation, testing, monitoring, and reliable production deployment.
• Own capacity planning and resource allocation, balancing business value, technical investment, operational needs, and team capacity while adjusting priorities as opportunities and risks evolve.
• Build a culture of experimentation, technical excellence, and continuous improvement that empowers the team to solve increasingly complex challenges and deliver measurable impact.

• Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 10 years of experience in data science or machine learning engineering.
• At least 5 years of formal people leadership or management experience.
• Proven experience leading data science or machine learning teams through complex initiatives, from setting technical direction through production deployment and ongoing optimisation.
• Advanced proficiency in Python and SQL.
• Experience working with modern data platforms and cloud environments.
• Deep knowledge of machine learning systems, statistical modelling, experimentation frameworks, and the software development lifecycle.
• Experience applying software engineering, DevOps, and machine learning operations practices, including containerisation, automation, testing, deployment, and production monitoring.
• Strong communication and leadership skills, with the ability to influence cross-functional partners and senior leaders, navigate competing priorities, and clearly communicate technical decisions, risks, trade-offs, and business impact.
• Obtain a gaming licence issued by the appropriate state agency as a condition of employment, where applicable.

• Advanced degree in a relevant field.
• Experience in gaming or a related industry.

DraftKings is a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. DraftKings is a regulated gaming company, and roles may require obtaining a gaming licence issued by the appropriate state agency as a condition of employment, with guidance provided through the process. At DraftKings, AI is becoming an integral part of both its present and future, powering how work gets done, guiding smarter decisions, and sparking bold ideas.