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Callaway Golf

Manufactures premium golf clubs, balls, gear.

Director – Global Operations Data & AI

Data & AnalyticsConfirmed live in the last 24 hours
Full-time$166.2k - $249.6k /yr

About the Job

Requirements

  • At least 10 years across analytics, business intelligence, and data-driven operations, including several years leading teams in a global, cross-functional environment.
  • Expert hands-on skills in Power BI, including semantic modeling, DAX, M, and deployment practices; SQL; and Python, with strong working command of Snowflake.
  • Working knowledge of operations research and simulation for warehouse and supply-chain problems, plus applied machine learning including computer vision.
  • Practical generative AI and large language model literacy, including retrieval-augmented generation, prompt engineering, agentic patterns, and platform evaluation, with a governance-first mindset.
  • Data-engineering fluency sufficient to direct integration and pipeline work on a modern cloud platform; Azure is preferred.
  • Proven people leadership, including hiring across geographies, structured candidate evaluation, and developing individual contributors into leaders.
  • Bachelor’s degree in engineering or computer science, or equivalent additional work experience.
  • At least 3 years of experience in business operations, data analysis, project management, or acting as a liaison between business units and IT.
  • Strong conceptual understanding of big data infrastructure, including data lakes, data warehouses, and cloud storage, and the ability to communicate comfortably with software engineers and database administrators.
  • Familiarity with business intelligence tools such as Tableau and Power BI.
  • Intermediate proficiency in SQL for data validation and experience with project management tools.
  • Based in or willing to relocate to the Dallas–Fort Worth area, with the ability to travel to Carlsbad, California, and internationally as needed.
  • Strong executive communication and the ability to constructively challenge the status quo and drive change through influence.

Responsibilities

  • Set strategy and lead the enterprise warehouse optimization program, using advanced optimization, simulation, and AI to improve slotting, pick paths, wave and batch planning, and labor capacity, and scale proven solutions across the distribution network.
  • Lead development and deployment of AI-driven operational solutions, including computer vision and machine learning applications that improve quality, operational efficiency, and warehouse performance.
  • Define and execute the organization’s generative AI strategy and roadmap, including technology and platform selection, prioritized use cases, pilot programs, adoption and capability building, and responsible AI governance.
  • Drive advanced manufacturing and energy analytics to enable data-driven improvements in product quality, process consistency, operational performance, and resource efficiency.
  • Establish value measurement and executive reporting frameworks that quantify and communicate the business impact of analytics and AI initiatives across productivity, cost, service, quality, and operational performance.
  • Build and lead a global, follow-the-sun analytics team across the United States, India, and Vietnam.
  • Own end-to-end hiring, including role definition, structured evaluation, technical screens, and calibration across markets.
  • Develop employees, growing specialists into leaders and supporting leadership and senior individual-contributor career paths.
  • Run a disciplined operating cadence of one-on-ones, skip-levels, and team meetings.
  • Serve as the bridge between Global Operations and IT, aligning priorities across security, cost, and speed.
  • Communicate strategic plans and executive readouts, and coordinate with teams in the United States, India, Vietnam, and Mexico.
  • Manage external vendors and service providers supporting data feeds, telemetry, and platform tooling.
  • Direct pipeline and integration work feeding the analytics stack, including Snowflake ingestion from ERP/WMS, asset-management, and facility-telemetry sources, and hold it to production standards.
  • Establish engineering discipline where it protects the business, including version control for BI assets, monitoring, service-level agreements, and documentation.

Desired Qualifications

  • Experience in manufacturing, distribution, or consumer-goods operations.
  • Knowledge of Microsoft Azure and Snowflake platforms.
  • Exposure to operational technology and industrial data historians such as Ignition, and operational technology–information technology integration.
  • Familiarity with the SAP data landscape, including Datasphere, BW/4HANA, and change data capture tooling.
  • Experience with Microsoft Fabric, Azure Data Factory and Azure Machine Learning, and Azure OpenAI or AI Foundry.
  • Completion of a formal leadership development program.

About the Company

Callaway Golf

Manufactures premium golf clubs, balls, gear.

Callaway Golf makes premium golf equipment and gear. It designs, manufactures, and sells clubs, balls, performance gear, and accessories for players worldwide. The products are built through engineering and testing to improve distance, accuracy, and feel, with a focus on innovation in material science and design to optimize energy transfer and control. The company differentiates itself by its long history, breadth of a premium product line, rigorous development and testing process, and emphasis on helping golfers of all levels improve their game. Callaway’s goal is to move the game forward by delivering better-performing equipment and by attracting top talent to support that mission.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Carlsbad, CA
Founded
1982

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