Patrick Miller
Head of Data and AI, Charlotte, North Carolina, United States
Professional Overview
Patrick Miller is an accomplished data and AI leader with extensive experience driving innovation and digital transformation across various industries. As the Head of Data and AI at Newfront, he is responsible for overseeing the company's data strategy, building advanced analytics capabilities, and leveraging artificial intelligence to deliver enhanced customer experiences and operational efficiencies.
Experience Summary
Current Role
Head of Data and AI, Newfront (2021-11-01 to Present)
- Providing strategic direction and technical leadership for the organization's data and AI initiatives
- Establishing a centralized data and analytics function to enable data-driven decision-making across the business
- Implementing cutting-edge machine learning and natural language processing models to automate key business processes and enhance customer interactions
- Driving the adoption of cloud-based data and analytics platforms to scale the company's data capabilities
Career Progression
Engineering Manager, Enterprise AI, Google (2018-11-01 to 2021-11-01)
- Led a team of machine learning engineers and data scientists in developing and deploying large-scale AI solutions for Google's enterprise customers
- Collaborated with cross-functional teams to identify and address complex business challenges through the application of advanced analytics and intelligent automation
- Contributed to the development of industry-leading AI frameworks and tools, enhancing the company's competitive edge in the enterprise technology market
Director of Machine Learning, Macmillan (2014-12-01 to 2018-11-01)
- Spearheaded the creation of a centralized machine learning center of excellence to drive innovation and digital transformation across the publishing company's global operations
- Developed and implemented predictive models to optimize supply chain logistics, automate content curation, and personalize customer experiences
- Championed the adoption of agile development practices and DevOps principles to accelerate the deployment of AI-powered solutions
Vice President, Data Science, Guggenheim Global Trading (2012-07-01 to 2014-12-01)
- Established and led a high-performing data science team to support the firm's investment strategies and trading operations
- Designed and implemented advanced quantitative models to identify market opportunities, manage risk, and optimize portfolio performance
- Collaborated with senior executives to align data and analytics initiatives with the firm's overall business objectives
Academic Background
Patrick holds a Master of Science in Computer Science from the Massachusetts Institute of Technology, where he specialized in Artificial Intelligence and Machine Learning. He also earned a Bachelor of Science in Electrical Engineering from the University of California, Berkeley, graduating with Highest Honors.
Areas of Expertise
- Data and AI strategy development
- Machine learning model design and deployment
- Natural language processing and text analytics
- Cloud-based data and analytics platform architecture
- Agile software development and DevOps practices
- Cross-functional team leadership and collaboration
Professional Impact
- Delivered over 25% improvement in supply chain efficiency and 15% increase in customer lifetime value through the implementation of AI-powered solutions at Macmillan
- Developed predictive trading models that generated a 12% increase in Guggenheim Global Trading's annual returns
- Recognized as a thought leader in the field of enterprise AI, contributing to industry publications and speaking at leading technology conferences
Conclusion
With a proven track record of driving data-driven innovation and digital transformation, Patrick Miller is well-positioned to lead Newfront's data and AI initiatives. His deep technical expertise, strong leadership skills, and industry-wide impact make him a valuable asset in the company's pursuit of becoming a data-centric, AI-powered organization.
