About the role

AI summarised

The Analytics Senior Product Owner at GlobalFoundries leads the development and delivery of data science and analytics solutions by bridging business needs with technical execution. This role owns the end-to-end product lifecycle, from problem identification and prioritization to deployment and value measurement, working closely with cross-functional teams including data scientists, engineers, and stakeholders. The position requires strong agile expertise, analytical thinking, and communication skills to drive measurable business outcomes in a semiconductor manufacturing environment.

FoundryOnsite

Key Responsibilities

Work closely with product users, engineering, operations, GFIT, and stakeholders to translate needs into machine learning or statistical problems
Define product goals and translate them into technical specifications
Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
Develop project schedules, facilitate release and sprint planning, and conduct demos with stakeholders
Act as the primary point of contact between executives and team members, reporting status and ensuring delivery on schedule and budget
Plan resourcing for the team, create requests, and onboard new members
Ensure data products meet security, privacy, and compliance standards
Drive selection of solution options by collaborating with data stewards, engineers, scientists, and translators
Drive engagement with third parties to support team objectives
Own and manage project-related documentation and oversee deployment including user-centered design and change management

Requirements

Bachelor’s degree in business, finance, computer science, statistics, or a related quantitative discipline
Minimum 4 years of experience leading cross-functional agile product or solution development teams with demonstrated success
Broad knowledge in business, analytics (e.g., machine learning, statistics), data engineering, and technology
Strong critical thinking and problem-solving skills with ability to analyze situations and make informed decisions
Experience in setting team priorities, managing product backlogs/release plans, tracking team metrics, and removing blockers
Deep understanding of agile methodologies and what makes teams successful, with focus on business agility and measurable outcomes
Excellent verbal and written communication skills