ABOUT THE BRAND:
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 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 https://www.callawaygolf.com
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
Team Leadership & Talent
- 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
Stakeholder & Vendor Management
- 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.
ARE YOU READY TO MAKE THE TURN? APPLY TODAY!
166,200.00 - 207,900.00 - 249,600.00 USD Annual