Director, Global Operations Data & AI

Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf.

Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game.

Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit

Roles and Responsibilities:

Advanced Analytics, Optimization & AI

Set the strategy and lead the enterprise warehouse optimization program, leveraging advanced optimization, simulation, and AI to improve slotting, pick-paths, wave/batch planning, and labor capacity; scale proven solutions across the distribution network.

Lead the development and deployment of AI-driven operational solutions, including computer vision and machine learning applications that enhance 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 that 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 US, our India Global Capability Center, and Vietnam

Own hiring end to end: role definition, structured evaluation, technical screens, and calibration across markets

Develop people deliberately — growing specialists into leaders and supporting both leadership and senior individual-contributor career paths

Run a disciplined operating cadence of 1:1s, skip-levels, and team meetings

Serve as the bridge between Global Operations and IT, aligning priorities across security, cost, and speed

Communicate up and across: strategic planning, executive readouts, and coordination with teams in the US, India, Vietnam, and Mexico

Manage external vendors and service providers supporting data feeds, telemetry, and platform tooling

Data Foundation (in partnership with IT)

Direct the pipeline and integration work that feeds the analytics stack — Snowflake ingestion from ERP/WMS, asset-management, and facility telemetry sources — and hold it to production standards

Instill engineering discipline where it protects the business: version control for BI assets, monitoring, SLAs, and documentation

Technical Competencies: (Knowledge, Skills & Abilities)

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 (semantic modeling, DAX, M, 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/LLM literacy — RAG, prompt engineering, agentic patterns, platform evaluation — with a governance-first mindset

Enough data-engineering fluency to direct integration and pipeline work on a modern cloud platform (Azure preferred) and hold it to production standards

Proven people leadership: hiring across geographies, structured candidate evaluation, and a record of developing individual contributors into leaders

Strong executive communication and the confidence to constructively challenge the status quo, driving change through influence

Based in (or willing to relocate to) the Dallas–Fort Worth area, with the ability to travel to Carlsbad, CA and internationally as needed

Nice to Have:

Manufacturing, distribution, or consumer-goods operations experience

Microsoft Azure and Snowflake platform knowledge

Exposure to OT/industrial data historians (e.g., Ignition) and OT–IT integration

Familiarity with the SAP data landscape (Datasphere, BW/4HANA, CDC tooling)

Microsoft Fabric, Azure Data Factory/ML, and Azure OpenAI / AI Foundry

Completion of a formal leadership development program

Education and Experience :

Bachelor's degree in engineering or computer science, or equivalent additional work experience required.

Minimum 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 (e.g., data lakes, data warehouses, cloud storage) and the ability to comfortably communicate with software engineers and DBAs.

Familiarity with business intelligence tools (e.g., Tableau, Power BI).

Intermediate proficiency in SQL (for data validation) and experience with project management tools

DE&I and EEOC:

Inclusion & Diversity:

As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.

If your experience is close to what we're looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we're dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.

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