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Content Excellence AI Adoption and Enablement Manager

Job in Mississauga, Ontario, Canada
Listing for: AstraZeneca
Full Time, Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Job Title: Content Excellence AI Adoption and Enablement Manager
Location: Mississauga, Ontario

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week
. Our head office and Blue Sky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.

Introduction to Role:

Reporting to the Director, Content Excellence in GBS, this role focuses on This role leads the training, adoption, and scaling of AI capabilities across GBS Content & Omnichannel Services. The focus is on enabling teams across regions and roles to confidently and responsibly use AI to improve content quality, speed, compliance, and business outcomes across AstraZeneca’s content supply chain.

Accountabilities:

  • Lead AI training and adoption

  • Design and deliver engaging, hands-on, role-based AI training for in-market teams, nearshore creative studios, and offshore content producers.

  • Create clear enablement assets and pilot-to-scale playbooks that support sustained adoption of GenAI and relevant AI applications across GBS processes and roles.

  • Plan and complete adoption programs with defined scope, timelines, risks, and change plans
    , adapting approaches to meet diverse learning styles and team needs.

  • Partner with cross-functional team members to surface and resolve issues, progress decisions, and remove barriers to adoption, raising with management support when needed.

  • Identify, evaluate, and recommend AI applications and models for key use cases such as generative content creation, component management, automated tagging, translation, MLR-ready content support, and performance analytics.

  • Monitor emerging trends in generative AI, modular content, and compliance-by-design solutions, translating innovation into secure, responsible, and scalable tools
    .

  • Support AstraZeneca’s content supply chain transformation by balancing innovation, usability, and regulatory standards
    .

  • Operationalize standards and governance

  • Partner with GBS content delivery leaders to implement content excellence standards
    , including design systems, metadata taxonomy, prompting guidance, and AI governance.

  • Ensure AI-enabled workflows are consistent, compliant, scalable, and inclusive across teams and markets.

  • Translate sophisticated AI concepts into clear, accessible value narratives for diverse audiences.

  • Build cases, recommend priorities, and support leadership decision-making around sequencing, scale-up, and investment.

  • Build AI opportunities for leadership

    Measure impact and guide decisions

  • Define, track, and communicate AI adoption and impact metrics
    , including cycle time reduction, cost per asset, compliance-ready output (“right first time”), metadata completeness, usage, and downstream business outcomes.

  • Provide clear, decision-ready insights that advise investment, prioritization, and scaling decisions.

  • Essential Skills/

    Experience:

  • 8+ years of experience in pharma, life sciences, healthcare, or technology, with demonstrated experience in AI implementation, digital transformation, or technology adoption.
  • Bachelor’s degree in Marketing, Business, Information Technology, Computer Science, Data Science, Engineering, or a related field; advanced degree preferred.
  • Demonstrated AI fluency across the content supply chain, including use-case design, tool or vendor…
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