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Lead Data Strategist (2026 Initiative)

Apex Sports Analytics
Austin
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are at the forefront of a historic transformation, preparing for the 2026 FIFA World Cup. We are looking for a dynamic and highly technical Lead Data Strategist to architect the data solutions that will define the fan experience of the future.

In this role, you won't just be managing data; you will be building the infrastructure that connects millions of fans worldwide. You will collaborate with world-class engineers and product managers to deliver seamless, real-time analytics that set a new standard for the sports industry. If you are passionate about scalability, big data, and leaving a legacy in sports technology, we want to meet you.

Responsibilities

  • Lead the strategic vision for the 2026 data ecosystem, ensuring scalability and high-performance architecture.
  • Oversee the design and implementation of complex data pipelines and ETL processes to handle massive real-time data loads.
  • Collaborate with cross-functional teams to translate business requirements into robust technical data solutions.
  • Establish rigorous data governance protocols to ensure compliance, security, and data integrity.
  • Drive innovation by integrating emerging technologies, such as AI and Machine Learning, into the 2026 platform.
  • Act as the technical bridge between stakeholders and engineering teams to ensure project milestones are met.

Qualifications

  • 10+ years of experience in data strategy, engineering, or a related technical field.
  • Expert proficiency in Python, SQL, and big data technologies (e.g., Spark, Hadoop, Kafka).
  • Proven experience managing large-scale projects or complex initiatives (similar to the 2026 scale).
  • Strong understanding of cloud architecture (AWS/Azure) and modern data warehousing solutions (e.g., Snowflake, BigQuery).
  • Exceptional leadership skills with a track record of mentoring high-performing engineering teams.
  • Experience with Agile/Scrum methodologies and a passion for continuous delivery.

Required Skills

Data Strategy Python SQL Big Data Cloud Architecture Agile Leadership Data Pipelines AI/ML

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