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Data Team Lead

Posted 5 Hours Ago
Be an Early Applicant
In-Office
Denver, CO
130K-155K Annually
Senior level
In-Office
Denver, CO
130K-155K Annually
Senior level
The Data Team Lead will establish and scale the data function, manage a new team, integrate AI solutions, and ensure compliance with data governance.
The summary above was generated by AI
This is a hands-on, player/coach opportunity to be the inaugural member of our Data team in the United States, based at our regional HQ in Denver. The Data Team Lead will be pivotal in establishing and scaling our data function across the US, with future expansion into Colombia.
The successful candidate will bring deep technical expertise in fast, scalable data solution development and a proven track record building pragmatic, high-performing teams that thrive on getting things done. Excellence in stakeholder management and cross-border collaboration, particularly with our UK center of technical excellence, is essential.
The listed salary for this position is $130,000-$155,000 annually.
Preferred Skills and Experience
  • Proven experience in an agile, startup-like environment, balancing the need for speed with uncompromising quality and compliance.
  • Demonstrated success in setting up and scaling high-performing data teams from scratch.
  • Strong advocate for self-service and enablement, with experience providing business teams with the necessary data tools and information to become more agile and data driven.
  • Exceptional stakeholder management skills; able to translate business requirements into technical delivery and communicate effectively across levels.
  • Deep understanding of data security, compliance, and privacy requirements.
  • A passion for coaching and mentoring, developing talent, and fostering a pragmatic, delivery-focused culture.
  • Technical expertise in Google Big Query, such as data lake and data warehouse, SQL for complex transformations, and Kafka for scalable data ingestion pipelines.
  • Hands-on experience with one or more advanced visualization tools, PowerBI and Looker preferred.
  • Strong programming skills and comfort with modern data engineering workflows in cloud environments.
  • Excellent written and verbal communication skills; ability to engage technical and non-technical audiences.

What you will be doing
  • Building, leading, and growing a new Data Engineering and Data Analytics and Reporting team from the ground up in the US, expanding into Colombia over time.
  • Collaborating with multi-location and global teams while navigating cultural and operational differences.
  • Integrating AI solutions within data teams, both to accelerate build cycles and deliver innovative business capabilities.
  • Delivering robust data solutions such as data lake, data warehouse, reporting, and analytics-at pace.
  • Designing, implementing, and optimizing scalable, high-quality data solutions at pace, leveraging the latest technologies and practices.
  • Championing a strong self-service data culture, empowering business teams with the tools, data, and insights they need to drive agility and informed decision-making.
  • Managing key stakeholders, aligning business needs with technical solutions and ensuring clear, proactive communication.
  • Collaborating closely with the UK-based data team, sharing knowledge and contributing to our global technical excellence.
  • Ensuring ongoing compliance with data governance, security, and privacy standards.
  • Evaluating, adopting, and integrating AI capabilities both to accelerate development and to deliver innovative solutions to business teams.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Top Skills

Cloud Environments
Google Big Query
Kafka
Looker
Power BI
SQL

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