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Director of Baseball Systems

Job in Denver, Denver County, Colorado, 80208, USA
Listing for: Artisan AI
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
Job Description & How to Apply Below
Job Details

Description

About the Colorado Rockies

The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America's pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.

Position Summary

The Director of Baseball Systems leads the strategy, architecture, and evolution of the technical foundation that powers Baseball Operations decision-making. This role owns the design, governance, and operation of the club's data platforms, internal applications, and underlying architecture.

This is a transformational leadership role responsible for modernizing and unifying baseball data systems, establishing production-grade data pipelines, and building a durable, AI-ready architecture that enables automation, advanced analytics, and the integration of future capabilities to support long-term competitive advantage.

Key Responsibilities

Systems Strategy & Architecture

* Define and execute the long-term vision for baseball data platforms and internal systems.

* Oversee phased re-architecture and modernization of data warehouse and pipeline components where appropriate.

* Establish scalable, secure, and sustainable data models that unify player, performance, scouting, and operational data.

* Guide cloud platform strategy, including warehouse and compute decisions, based on scalability, integration, and long-term flexibility.

* Design platform foundations that enable scalable experimentation, automation, and advanced analytical workflows as capabilities evove.

* Implement modern data engineering standards, including orchestration, transformation, observability, and infrastructure practices that support long-term platform health.

* Maintain a clear, multi-year roadmap aligned to competitive and operational goals.

Data Platform & Engineering Leadership

* Ensure data pipelines are production-grade, reliable, and optimized for performance and cost.

* Establish governance, lineage, monitoring, and deployment standards across environments.

* Partner with Baseball Data Science and Research & Development teams to ensure infrastructure supports modeling and applied analytics needs.

* Lead development and evolution of internal baseball applications and portals.

* Reduce manual workflows by enabling integrated access to unified baseball information.

Leadership & Collaboration

* Lead and develop Data Architects, Data Engineers, and Application Engineers.

* Serve as the bridge between technical teams and Baseball Operations stakeholders.

* Guide cloud modernization efforts with minimal operational disruption.

* Foster a disciplined, forward-thinking engineering culture focused on long-term platform health.

Required Qualifications

* Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

* 8+ years of experience designing and operating production data platforms and complex technical systems.

* Deep experience architecting cloud-based data environments (AWS, GCP, or similar) with the ability to evaluate platform tradeoffs objectively.

* Experience leading cloud modernization, migration, or multi-cloud architecture initiatives (e.g., AWS,GCP, or similar).

* Strong understanding of distributed data systems and large-scale data warehousing, including architecture supporting high-volume, multi-source datasets such as spatiotemporal tracking and event-based data.

* Experience building and maintaining production data pipelines and modern ELT/ETL frameworks.

* Familiarity with cloud-native tooling and best practices, including orchestration, CI/CD, infrastructure-as-code, and environment management.

* Demonstrated experience leading technical teams and owning systems in live production environments.

Preferred Qualifications

* Experience in professional sports or complex,…
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