Recruitment Data Policies AI and Data Literacy Lead (US)

UCB•Atlanta, GA

4d•Hybrid

About The Position

The Artificial Intelligence and Data Capability Lead builds 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 in real business workflows. It is business-facing and focuses on helping people understand, evaluate, and use data and artificial intelligence in practice, while encouraging teams to rethink processes and ensuring human judgment, verification, and measurable business value. The position is part of the Transformation team, named Ruby, and works across the Patient Evidence organisation within Data Products Operations. The role 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 position may be based in Atlanta, Georgia; Raleigh, North Carolina; or Boston, Massachusetts, and is hybrid with limited domestic and international travel.

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.