GlobalFoundries

AI Enablement Strategist

Austin Full time

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. 

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. Ideal for a New College Graduate (NCG) with strong critical thinking, problem solving, analytical and technical skills with a passion for AI innovation and emerging technologies.

Essential Responsibilities:

  • 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:

  • Master's degree in Data Science, Engineering, or related field.
  • 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.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • 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.

Core Competencies

  • 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

Expected Salary Range

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 

 

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. 

 

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. 

 

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law