Analytics Product Owner (Digital Manufacturing)

at  GLOBALFOUNDRIES

About GlobalFoundries
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 Analytics Product Owner , you will be reporting to Analytics Senior Product Owner and assisting to shape the team vision, roadmap and steer the team in the delivering in minimum viable product (MVP) . You will help the Senior Product Owner in driving value in data science products that will address the most complex commercial and operational challenges. You hel p the Senior Product Owner in the ownership of 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.

PREFERRED QUALIFICATIONS:

• Masters in data science or a related field
  G lobal F oundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
  As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
  All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks , medical screenings as applicable and subject to the respective local laws and regulations.
  To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in Singapore will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation.
  Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

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.
• 5 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

• 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.
• 5 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.