In this role, you will build practical AI and data literacy to help teams use data and emerging tech confidently and responsibly. You’ll translate expectations into role-specific guidance and integrated learning within real workflows. You will challenge processes to evolve while maintaining human oversight and measuring business impact. This is a cross-functional, business-facing position that connects learning with priority questions and data products to enable value-driven decisions.
Pay / Benefits
hybrid-first work model
opportunity to influence patient outcomes
collaborative culture
equal opportunity employer
global exposure
growth and career development
Responsibilities
Define and maintain an AI and data literacy framework aligned with roles and workflows
Assess capability needs and address learning gaps to boost adoption
Translate complex concepts into clear practical guidance for non-technical audiences
Design role-based learning paths, playbooks, and reusable resources
Embed learning into real business questions, data products, and workflows
Build understanding of data meaning, quality, and suitability for purpose
Promote responsible use through human oversight and evidence-based decisions
Measure proficiency, adoption, and business impact, iterating learning based on feedback
Key requirements
Bachelor's degree in data, analytics, AI, business, learning, or related field
Experience in data, analytics, digital transformation, learning, change, or business enablement roles
Experience translating complex AI concepts for non-technical audiences
Experience designing learning resources and applied learning experiences
Experience supporting adoption and behavior change in a collaborative organization
Understanding of data quality, governance, analytics, and responsible AI principles
Strong facilitation, communication, coaching, and storytelling skills
Experience in pharmaceuticals, healthcare, or life sciences is preferred
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