GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. 

Introduction:  

As a Senior Analytics Product Owner, you will be reporting to Analytics Center of Excellence (CoE) Manager and assisting to shapes the team vision, roadmap and steers the team in the delivering in minimum viable product (MVP).  You are responsible for driving value in data science products that will address the most complex commercial and operational challenges. You own the product end-to-end from identification and prioritization of problems to communication of end results within the business and measuring the business value of results. You work in a cross-functional role, acting as a bridge between technical and business roles. 

Your Job:   

• Work closely with product users, engineering, operations, GFIT, and all required stakeholders to translate their needs or challenges into machine learning or statistical problems. 

• Define product goals and translate them into technical specifications. 

• Owns the end user experience for analytics solutions and backlog of use case priorities. 

• Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization. 

• Develops project schedules, as well as facilitating release planning, sprints planning, and demos with stakeholders. 

• Prioritize backlogs; uses business expertise and understanding of analytics needs to translate requirements into acceptable criteria. 

• Acts as bridge between executives and team members by serving as the primary point of contact for project stakeholders from project inception through completion. Regularly reports status to stakeholders and ensures delivery according to schedule and budget. 

• Plans resourcing for the team (i.e. new role, change in role), creates requests, and onboards members that join the pod. 

• Ensures the data product or analytics solution meets relevant security, privacy, and compliance standards. 

• Drives selection of solution options, work with data stewards, data engineers, data scientists, and analytics translators to arrive at the best solutions, balancing business needs and technical feasibility. 

• Drives engagement with third parties to support delivery of team objectives. 

• Drives reporting and analytics to provide visibility on team performance and team satisfaction, as well as monitors spring metrics and user results. 

• Owns and manages projected-related documentation. 

• Responsible for seeing solutions through the deployment, including user-centered design and change management and careful tracking/measurement. 

Other Responsibilities:  

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs. 

Required Qualifications:  

• Bachelor’s degree in business, finance, computer science, statistics, or related fields 

• Bachelor’s degree in quantitative discipline: Statistics, Mathematics, Computer Science, Operations Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, etc.  

• 6 years of experience in leading cross functional guide agile product or solution development team with demonstrated success (e.g., data science, data engineering, consulting, product owner).  

• Broad knowledge in business, analytics (e.g., machine learning, statistics testing), data engineering, and technology. 

• Strong critical thinking and problem-solving skills with ability to accurately analyze situations and reach productive decisions based on informed judgement. 

• Experience in setting priorities for a team, managing a product backlog/release plan, tracking team level metrics, and removing blockers (e.g., burndown chart, release burn up) 

• Deep understanding of agile methodologies and what makes teams successful. 

• Focuses on business agility and agile delivery with a “fail-fast, succeed early” mindset and emphasis on measurable outcomes. 

• Excellent communication skills, both verbal and written; able to communicate effectively with multiple leadership layers and across a broad base of team members. 

• Self-motivated and eager to learn business and analytics perspectives. 

• Creates a culture that relentlessly focuses on helping the team and organization reach their goals. 

• Able to build a sense of trust and rapport that creates an inclusive and effective workplace. 

• Ability to influence at all levels (from junior colleagues to executives) 

• Ability to motivate team members. 

• Attention to detail; have a “can do” attitude thrive on a “test and learn” mentality with diverse technical talent. 

Preferred Qualifications:  

• Masters in data science or a related field​