Senior Analyst Data Engineer - AI Enablement Strategist

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


Summary of Role:

We are seeking a strategic and innovative analyst who can apply cutting-edge AI technologies to practical business opportunities, specifically supporting HR, Marketing, & Communications functions. This role focuses on enabling AI adoption, building accelerators, innovating via proof of concepts, and driving measurable value across these critical business areas.

Essential Responsibilities include:

  • Develop AI enablement strategies tailored for HR, Marketing, and Communications workflows.
  • Identify and prioritize high-impact use cases in forecasting, product, marketing, and planning.
  • Design and implement proof-of-concepts (POCs) and minimum viable products (MVPs) leveraging GenAI, ML, automation, agents, or other emerging technologies.
  • Collaborate with relevant business teams to understand their challenges, identify ideal AI-enabled business processes, and develop hands-on prototypes
  • Create reusable playbooks, reference architectures, and enablement assets for business teams.
  • Collaborate with data platform and security teams to ensure secure and governed access to data for AI solutions.
  • Partner with business teams on change management initiatives, including training and communication for adoption.
  • Ensure compliance with Responsible AI principles and governance frameworks.

Other Responsibilities:

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


Required Qualifications:

  • Education – Graduating or graduated with Bachelor's or Master’s in Data Science, Computer Science, Computer Engineering or related field from an accredited degree program.
  • Strong understanding of AI concepts, machine learning, and data analytics.
  • Ability to understand detailed business processes and translate business problems or workflows into AI-enabled solutions.

Preferred Qualifications:

  • Prior related internship or co-op experience.
  • Experience with GenAI tools, prompt engineering, agent development, and data visualization.
  • Knowledge of supply chain, finance, or commercial operations workflows.
  • Familiarity with Azure and AWS cloud platforms, Microsoft CoPilot, AI Factory, Bedrock, Quick Suite.
  • Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
  • Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
  • Demonstrated strategic thinking and problem-solving skills
  • Adaptability and eagerness to learn emerging technologies.
  • Strong interpersonal and stakeholder management skills.
  • Self-motivated with an innovative approach to problem solving and a can-do attitude
  • Strong written and verbal communication skills
  • Strong planning & organizational skills

GlobalFoundries 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.

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