Manager - Data Science & AI
Listed on 2026-10-31
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Machine Learning/ ML Engineer, Data Analyst
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At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit.
Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day.
As the Manager of Data Science & AI, you will play a key leadership role in delivering AI and advanced analytics solutions that translate complex business challenges into measurable business impact. Reporting to the Director of Data Science & AI, you will lead multiple Data Science work streams end-to-end, from problem definition and scoping through development, deployment, experimentation, and measurement. This role requires a highly technical, hands-on leader who can manage multiple resources and projects while effectively partnering with business stakeholders in a highly ambiguous environment.
QualificationsGeneral
Qualifications:
Education:
Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or a closely related quantitative field. Advanced degree strongly preferred.
Experience:
Minimum of 5 years in Data Science, Machine Learning, or Advanced Analytics with progressive responsibility and demonstrated leadership impact. Four or more years building and deploying production AI/ML solutions in enterprise environments. Proven success leading data science programs in a global CPG, beverage, or similar fast-moving consumer-goods environment preferred.
Technical Proficiency:
Deep expertise in machine learning, AI, and statistical modeling with proficiency in Python, PySpark, SQL, and advanced analytics platforms. Working proficiency in cloud-native AI architectures (Google Cloud Platform, Data Bricks), and scalable AI deployment. Experience with generative AI, deep learning frameworks, and modern AI development practices is nice to have. Strong background in A/B testing, attribution modeling, demand forecasting, and recommendation engines preferred.
Leadership and Communication:
Proven leadership skills with the ability to manage cross-functional teams and communicate complex data concepts to non-technical stakeholders effectively. Demonstrated project management skills, including the ability to scope, prioritize, and deliver complex data science and AI initiatives on time and within resource constraints. Outstanding PowerPoint and presentation skills required.
Strategic and Commercial Acumen:
Strong strategic thinking and business acumen with the ability to translate AI/ML capabilities into measurable business value. Track record of delivering advanced analytics solutions that drive revenue growth, cost optimization, and competitive advantage.
Innovation Mindset: A strong track record of leveraging emerging AI technologies and data science methodologies to drive transformational business outcomes and establish competitive differentiation.
Preferred Qualifications
Industry Knowledge:
Deep understanding of the beverage and alcohol manufacturing sector, including global market dynamics, consumer behaviors, regulatory constraints, and distribution complexities.
Commercial Analytics:
Extensive experience in revenue growth management (RGM), brand investment optimization, and pricing analytics for CPG companies. Background in leveraging AI to drive commercial decisions, optimize promotional effectiveness, and enhance portfolio…
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