Senior Data Strategist for Sports Tech & AI Architecture

CapTech; Reston (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Certification and tuition support

Mental health well-being platform

Fertility and family-forming coverage

Stipend for lifestyle benefits

Employee-led committees fostering inclusion

Opportunities for community engagement

401(k) Matching with no vesting period

Job summary

A leading consulting firm is seeking a visionary Lead Data Strategist to drive data transformation in the sports industry. This role blends strategic consulting with technical leadership, requiring expertise in data strategy, cloud architecture, and advanced analytics. Key responsibilities include defining enterprise-level data strategies, architecting cloud solutions, and developing predictive analytics models to enhance athlete performance and fan engagement. The ideal candidate will have extensive experience in data architecture and a strong understanding of the sports industry's dynamics.

Qualifications

• Extensive experience in data strategy and architecture leadership.
• Expertise in cloud technologies including AWS, Azure, and GCP.
• Strong comprehension of the sports industry and digital transformation.

Responsibilities

• Define and execute enterprise-level data strategies.
• Architect cloud-based solutions for real-time data ingestion.
• Develop computer-vision models for player tracking.
• Establish frameworks for data sharing across ecosystems.
• Drive predictive analytics for fan engagement.

Skills

Data strategy

Cloud architecture

Sports innovation

AI/ML

Real-time analytics

Tools

Python

SQL

Databricks

Snowflake

AWS

Azure

GCP

Job description

A leading consulting firm is seeking a visionary Lead Data Strategist to drive data transformation in the sports industry. This role blends strategic consulting with technical leadership, requiring expertise in data strategy, cloud architecture, and advanced analytics. Key responsibilities include defining enterprise-level data strategies, architecting cloud solutions, and developing predictive analytics models to enhance athlete performance and fan engagement. The ideal candidate will have extensive experience in data architecture and a strong understanding of the sports industry's dynamics.