Sr Director, Data Science

About the job

Overview

We are seeking a Senior Director of Data Science to lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain expertise, and a passion for solving complex problems through innovative approaches.

What You'll Do

Roadmap Input & New Data Science Approaches (10%)

• Provide strategic input into the data science roadmap to align with Blue Yonder's long-term goals.
• Explore and implement new data science methodologies and generative AI techniques to enhance product offerings.

Thought Leadership Collateral (20%)

• Develop whitepapers, case studies, and presentations showcasing Blue Yonder's data science capabilities.
• Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management.

Sales, Customer Retention & Proof of Concepts (POCs) (40%)

• Partner with sales teams to demonstrate the value of Blue Yonder's solutions to prospective clients through POCs and technical deep dives.
• Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs.
• Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies.

Data Science Projects (30%)

• Lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives.
• Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers.
• Mentor and guide a team of data scientists to achieve technical excellence and foster innovation.
• 
  

What We Are Looking For

• Education: PhD or Masters in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required.
• Experience: overall 18+ years of experience and have proven experience in applying machine learning, deep learning, and data analysis within the supply chain domain.
• Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming.
• Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes.
• Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences.
• Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously.