Direct links to applications (please see job details below):
Director of Baseball Systems
Principal Analyst, Baseball Research and Development
Director of Baseball Data Science
Director of Baseball Systems
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, data-rich operational environments.
- Experience leading data warehouse rebuilds or platform transformation initiatives.
- Familiarity with modern automation and AI-enabled data architectures, including infrastructure that supports experimentation, model deployment, and operational use of advanced analytics.
- Experience integrating multiple vendors, tracking systems, or external data sources into unified platforms.
Work Schedule
This role requires flexibility consistent with the demands of Major League Baseball, including extended hours, travel, and non-traditional schedules throughout the season.
Physical Requirements
- Ability to work in office, stadium, training, and travel environments.
- Ability to work at a computer for extended periods.
- Ability to travel as required.
- Ability to communicate effectively in individual and group settings.
Compensation & Benefits
Salary Range: $180,000 – 225,000 annually, commensurate with experience and qualifications.
This full-time position is eligible for the Club’s comprehensive benefits package, including medical, dental, vision, 401(k) with employer match, paid time off, game tickets, employee discounts, and additional benefits in accordance with plan eligibility.
APPLICATION PROCESS
- Applications will be reviewed on a rolling basis but must be received by March 13th, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
- The estimated time to complete the recruitment process will be by April 3, 2026.
- A note for Colorado Rockies employees: Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
- If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.
To Apply
To apply, please follow this link.
Principal Analyst, Baseball Research and Development
About Us
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 Principal Analyst is a senior applied leader within the Baseball Insights Department, reporting to the Director of Research & Development. This role serves as the primary analytics partner for Hitting Development and is responsible for translating data science models, biomechanical inputs, and technology outputs into actionable insights that drive offensive performance.
This position bridges Data Science, Research & Development, Performance Science, and field staff to ensure analytical tools are technically sound, practically applied, and meaningfully embedded within baseball environments. While hitting development is the primary focus, this role also contributes to broader analytical direction and applied workflow design across Baseball Operations.
Key Responsibilities
Hitting Development & Performance Integration
- Serve as the lead analytics partner for Hitting Development across Major League and Player Development environments.
- Integrate bat tracking, ball tracking, pitch metrics, biomechanical data, motion capture, and force plate data to identify performance gains in swing mechanics and offensive production.
- Partner with Performance Science and hitting coaches to translate analytical and biomechanical findings into clear, actionable adjustments.
- Identify performance trends, skill gaps, and developmental opportunities through quantitative and qualitative analysis.
- Advance the organization’s applied understanding of hitting performance and add offensive value.
Model Development & Applied Analytics
- Contribute to the development of descriptive and predictive models related to hitting performance.
- Partner with Baseball Data Science to refine, validate, and strengthen models over time.
- Incorporate coaching insight and baseball domain expertise into model application.
- Design tools, reports, and workflows that maximize clarity, usability, and on-field adoption.
Cross-Functional Collaboration
- Serve as a connector between Data Science, R&D, Performance Science, Player Development, and Major League staff.
- Communicate model assumptions, outputs, and limitations clearly to non-technical stakeholders.
- Incorporate applied feedback to continuously improve analytical tools and processes.
- Support alignment between analytics outputs and organizational philosophy.
Leadership & Culture
- Mentor applied analysts as the department grows.
- Help establish applied analytics standards and best practices.
- Contribute to a collaborative, high-performance Baseball Insights culture.
- Support documentation and knowledge-sharing processes.
Required Qualifications:
- Bachelor’s degree in Data Science, Statistics, Biomechanics, Kinesiology, Engineering, Computer Science, or related field.
- 5+ years of experience in applied analytics, sports performance analysis, biomechanics, or related discipline.
- Demonstrated experience integrating multiple performance data streams (e.g., bat tracking, motion capture, force plates, pitch/ball tracking).
- Proficiency in Python, R, SQL, or similar analytical tools.
- Experience contributing to or developing performance models.
- Ability to translate complex quantitative and biomechanical outputs into actionable insights.
- Deep understanding of baseball hitting mechanics and offensive performance concepts.
- Strong communication and cross-functional collaboration skills.
Preferred Qualifications:
- Advanced degree in a quantitative or biomechanics-related field.
- Experience in professional or elite-level baseball environments.
- Experience integrating biomechanical data into applied development settings.
- Background in model validation, experimental design, or applied research methodology.
- Experience mentoring analysts or shaping analytics workflows.
Physical Job Requirements
The physical demands and work environment characteristics described below are representative of those that must be met to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Work Environment
- Work is performed in a combination of office settings, indoor training facilities, laboratory/performance environments, and outdoor baseball environments.
- Regular presence at Major League and Player Development facilities is required.
- Occasional travel to affiliate locations, training complexes, and other organizational sites may be required.
- Work may include evenings, weekends, and extended hours during the baseball season.
Physical Requirements
- Ability to remain in a stationary position (sitting or standing) for extended periods while analyzing data and using computer systems.
- Frequent use of a computer, keyboard, and other office equipment.
- Ability to communicate effectively in person, by phone, and via electronic communication.
- Ability to move throughout office spaces, clubhouses, dugouts, batting cages, bullpens, and performance labs.
- Ability to observe and interpret visual information, including data visualizations, video analysis, and live on-field activity.
- May occasionally lift and/or move items up to 25 pounds (e.g., portable technology equipment, training devices).
- Ability to work in varying environmental conditions, including indoor facilities and outdoor weather conditions typical of baseball operations.
Compensation & Benefits
Annual Salary: $130,000 to $170,000
- This full-time position is eligible for the Club’s benefits package, including medical, dental, vision, 401(k) with employer match, paid time off, game tickets, employee discounts, and other benefits according to plan eligibility.
Application Process
- Applications will be reviewed on a rolling basis but must be received by March 13th, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
- The estimated time to complete the recruitment process will be by April 3, 2026.
- A note for Colorado Rockies employees: Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
- If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.
To Apply
To apply, please follow this link.
Director of Baseball Data Science
About Us
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 Data Science leads the Data Science function within the Baseball Insights group and sets the strategic and technical direction for modeling across Player Personnel, Player Development, Health & Performance, and Major League strategy.
This role defines how descriptive, predictive, and prescriptive models are built, validated, and applied to measure player performance, skill, and value. As the technical leader of the team, the Director establishes standards for analytical rigor, modeling quality, and methodological excellence, ensuring clarity around what the data indicates and where uncertainty remains.
The Director will build and execute a multi-year roadmap to advance data science capabilities, grow team expertise, and sequence investments in models, tools, and AI to support long-term competitive success. While providing strategic leadership, this role remains hands-on in model development and research, particularly as capabilities scale.
Key Responsibilities
Modeling & Research Leadership
- Establish and maintain consistent definitions for core performance metrics across the organization.
- Set the modeling philosophy and technical standards for Baseball Data Science.
- Lead the design, validation, documentation, and continuous improvement of descriptive, predictive, and prescriptive models.
- Develop models that measure and explain player performance, skill development, health, and strategic outcomes.
- Serve as the senior technical reviewer for core models and analytical methodologies.
- Contribute directly to high-impact modeling initiatives.
Strategy & Decision Support
- Establish research priorities aligned with organizational and competitive objectives.
- Guide the progression from foundational descriptive insights to advanced predictive and prescriptive capabilities.
- Partner with Baseball Operations leadership to translate analytical findings into actionable insights.
- Develop and maintain a clear multi-year roadmap for advancing data science capabilities.
Cross-Functional Partnership
- Collaborate with Research & Development, Baseball Systems, and Baseball Operations to ensure models are understood, trusted, and effectively applied.
- Provide guidance on model assumptions, interpretation, and limitations.
- Partner on data infrastructure needs to support scalable and reliable modeling environments.
- Incorporate applied feedback to continuously refine models and analytical frameworks.
Team Leadership & Talent Development
- Lead, mentor, and develop a team of Data Scientists.
- Build a high-performance culture grounded in rigor, collaboration, and innovation.
- Assess skill gaps and implement development plans to deepen technical and baseball domain expertise.
- Recruit top analytical talent and help position the organization as a leader in baseball analytics.
- Champion responsible and practical applications of AI to accelerate analysis, modeling, and decision support.
SUPERVISORY RESPONSIBILITIES:
- Lead and manage the Baseball Data Science team, including Data Scientists responsible for model development and advanced statistical research.
- Partner cross-functionally while maintaining clear role definition between Data Scientists and applied analyst functions.
Required Qualifications
- Bachelor’s degree in a quantitative discipline (Statistics, Data Science, Mathematics, Economics, Engineering, or related field) or equivalent experience.
- 7+ years of experience in baseball analytics, sports analytics, or data science, including leadership responsibility.
- Deep understanding of baseball decision-making across player evaluation, development, and game strategy.
- Strong proficiency in Python and SQL.
- Demonstrated experience building, evaluating, and deploying analytical models in applied environments.
- Experience leveraging AI-enabled tools or methods within research or modeling workflows.
Preferred Qualifications
- Advanced degree (Master’s or PhD) in a quantitative discipline.
- Leadership experience within professional baseball or elite sports.
- Track record of building models that materially influenced organizational decisions.
Work Environment
This role requires flexibility consistent with a Major League Baseball environment, including extended hours, travel, and non-traditional schedules throughout Spring Training, the regular season, postseason, and off-season planning cycles.
Physical Job Requirements
- Ability to work in a fast-paced professional baseball environment, including offices, clubhouses, training facilities, stadiums, and travel settings.
- Ability to sit, stand, and work at a computer for extended periods.
- Ability to travel by car and plane, including multi-day trips.
- Ability to communicate effectively in individual and group settings.
Compensation & Benefits
Suggested Annual Salary Range: $160,000 – $200,000, commensurate with experience and qualifications.
This full-time position is eligible for the Club’s comprehensive benefits package, including medical, dental, vision, 401(k) with employer match, paid time off, game tickets, employee discounts, and other benefits according to plan eligibility.
Application Process
- Applications will be reviewed on a rolling basis but must be received by March 13th, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
- The estimated time to complete the recruitment process will be by April 3, 2026.
- A note for Colorado Rockies employees: Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
- If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.
To Apply
To apply, please follow this link.
The content in this posting was created and provided solely by the Colorado Rockies.
