AI and Data Literacy Lead (US)
About The Position
The AI and Data Literacy Lead will build practical artificial intelligence and data literacy so teams can use data and emerging technologies confidently, responsibly, and effectively in their daily work. The role translates expectations into role-specific learning, practical guidance, and supported application within real business workflows. It focuses on helping people understand, evaluate, and use data and artificial intelligence, while challenging teams to rethink processes and ensuring appropriate human judgment, verification, and measurable business value. The role is part of UCB’s Transformation team, named Ruby, and works across the Patient Evidence organisation within Data Products Operations. It collaborates with business leaders, portfolio and product leads, business analysts, subject matter experts, data and technology teams, and partners in learning, change, communications, privacy, and compliance. The role connects learning to priority business questions, available data products, and technology-enabled capabilities. It is hybrid and may be based in the Atlanta, Georgia; Raleigh, North Carolina; or Boston, Massachusetts offices, with up to 10% domestic and international travel. UCB is a global biopharmaceutical company focused on neurology and immunology, with more than 9,000 people worldwide. The company describes its culture as caring, supportive, inclusive, and focused on creating value for patients. UCB has a hybrid-first approach; its general policy is for employees to spend 40% of their time in the office unless otherwise stated or precluded by the nature of the position.
Requirements
- Bachelor’s degree in data, analytics, artificial intelligence, business, learning, organisational development, life sciences, or a related field.
- At least 6 years of experience in data, analytics, digital transformation, learning, change, or business enablement roles in pharmaceuticals, biotech, healthcare, or life sciences.
- Experience translating complex data and artificial intelligence concepts into practical guidance for non-technical audiences.
- Experience designing role-based learning, capability frameworks, learning resources, and applied learning experiences.
- Experience supporting adoption and behaviour change within a complex, collaborative organisation.
- Understanding of data quality, governance, semantics, analytics, and responsible artificial intelligence principles.
- Strong facilitation, communication, coaching, and storytelling skills, with the ability to connect learning to measurable outcomes.
Nice To Haves
- An advanced degree or relevant professional qualification.
Responsibilities
- Define and maintain an artificial intelligence and data literacy framework aligned with business roles, decisions, and workflows.
- Assess capability needs, identify priority audiences, and address learning gaps and barriers to adoption.
- Translate complex data, analytics, governance, and artificial intelligence concepts into clear, practical business language.
- Design role-based learning paths, playbooks, examples, working sessions, and reusable learning resources.
- Embed learning into real business questions, data products, and technology-enabled workflows.
- Build understanding of data meaning, origin, quality, limitations, and suitability for purpose.
- Promote responsible use through human oversight, output verification, and evidence-based decision-making.
- Measure proficiency, application, confidence, adoption, and business impact, using feedback to continuously improve learning.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
