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Director Baseball Data Analyst Jobs in Raleigh, NC

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

Korn Ferry is part of RELX Inc., a global provider of information-based analytics and decision tools. The Director, Data Sciences is responsible for raising data-driven decision making within a ...

Pwc

Data Strategy & Governance -Director

Raleigh, NC · On-site

$155K - $410K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... As a Director, you will set the vision for business growth, mentor future leaders, and maintain ...

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Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · On-site

Associate Director, IT Commercial Sales Data and Analytics Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades ...

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Director Baseball Data Analyst information

What does a director baseball data analyst do?

A Director Baseball Data Analyst leads a team responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making for a professional baseball organization. This role involves overseeing advanced statistical modeling, performance analysis, and the development of data-driven strategies to enhance player evaluation, scouting, and game tactics. The director collaborates closely with coaches, scouts, and front office executives to provide actionable insights that help optimize team performance and improve overall organizational success.

How does a director baseball data analyst typically collaborate with coaches and front office staff to influence team strategy?

A Director Baseball Data Analyst works closely with coaches and the front office by translating complex data into actionable insights that inform player development, game tactics, and roster decisions. Regular meetings and presentations are held to review findings, discuss player performance metrics, and evaluate strategic options. Effective communication is crucial, as analysts must bridge the gap between technical data and practical applications on the field, ensuring that stakeholders understand and can act on the recommendations provided. This collaborative environment fosters innovation and helps the team maintain a competitive edge.

What are the key skills and qualifications needed to thrive as a director baseball data analyst, and why are they important?

To thrive as a Director Baseball Data Analyst, you need deep expertise in statistical analysis, data modeling, and a strong background in sports analytics, typically supported by a degree in statistics, mathematics, or a related field. Advanced proficiency with programming languages like Python or R, experience with SQL databases, and familiarity with baseball-specific analytics tools such as TrackMan or Statcast are essential. Leadership, communication, and strategic thinking are crucial soft skills for guiding teams and translating data insights into actionable strategies. These skills are vital for driving data-informed decision-making that enhances team performance and competitive advantage.

What is the difference between Director Baseball Data Analyst vs Baseball Data Analyst?

AspectDirector Baseball Data AnalystBaseball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Management, or related field; extensive experienceBachelor's in Data Science, Sports Management, or related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams, strategic planning, collaboration with executivesData analysis, reporting, and modeling primarily focused on specific projects
Employer & Industry UsageMajor league teams, sports organizations, analytics firmsTeams, sports organizations, analytics companies, media outlets

The main difference between a Director Baseball Data Analyst and a Baseball Data Analyst lies in their level of responsibility and scope. The director oversees teams, strategic initiatives, and high-level decision-making, while the analyst focuses on data collection, analysis, and reporting. Both roles require strong analytical skills and relevant credentials, but the director's role is more leadership-oriented.

What are the most commonly searched types of Baseball Data Analyst jobs in Raleigh, NC?

The most popular types of Baseball Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Director Baseball Data Analyst jobs in Raleigh, NC?

For Director Baseball Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Director Baseball Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Director Baseball Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Director Baseball Data Analyst jobs?

Cities near Raleigh, NC with the most Director Baseball Data Analyst job openings:

Director Baseball Data Analyst jobs near you

Director, Data Sciences

Korn Ferry

Raleigh, NC • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Korn Ferry is part of RELX Inc., a global provider of information-based analytics and decision tools. The Director, Data Sciences is responsible for raising data-driven decision making within a business unit through team leadership and strategic project execution.
Responsibilities:
• Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
• Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
• Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.
• Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
• Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
• Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
• Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
• Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
• Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
• Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
• Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
• Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.
Qualifications:
Required:
• Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
• 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
• Demonstrated experience in managing and scaling data science teams of 15+ professionals.
• Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
• Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
• Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
• Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
• Strong business acumen with the ability to translate complex technical concepts into business value.
• Excellent communication and leadership skills, with experience presenting to executive leadership.
• Experience working in a global or multicultural environment.
• Record of successful collaboration with product, engineering, and business teams.
• Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.
Company:
Korn Ferry is a global consulting firm that powers performance. Founded in 1969, the company is headquartered in Los Angeles, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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