Recruitment Data Policies DT Commerical AI & Agentic Lead

UCB•Atlanta, GA

14h•Hybrid

About The Position

The DT Commercial AI & Agentic Lead will shape and deliver UCB’s AI- and GenAI-powered transformation within the Patient Impact organization (Commercial). The role combines strategic leadership with hands-on delivery, leading the design, implementation, and scaling of agentic AI solutions to improve patient outcomes and transform commercial and engagement capabilities. The role is based in UCB’s Atlanta, Georgia office and follows a hybrid approach, with 40% onsite work. The Lead partners with Patient Impact, Commercial, Medical, and Marketing teams to co-create solutions, including initiatives connected to CRM evolution, healthcare professional engagement, and operating model transformation. They will define Patient Impact’s GenAI strategy and technology roadmaps, identify high-impact use cases, and ensure solutions are robust, scalable, compliant, and aligned with business value and UCB standards. The role also drives GenAI transformation programs, program governance, prioritization, and value tracking; advises business leaders; manages technology vendors and partners; aligns with enterprise architecture, security, data governance, and other Digital Technology teams; and builds internal capabilities and reuse of agentic AI components. The position contributes to UCB’s enterprise-wide GenAI strategy and communities of practice.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
At least 8 years of experience in Digital Technology or IT leadership roles within complex enterprise environments.
Experience in the pharmaceutical industry, with understanding of its regulatory and business context.

Nice To Haves

Track record delivering AI and GenAI initiatives, ideally at scale and with business impact.
Strong technical expertise in GenAI, including LLMs, retrieval-augmented generation (RAG), copilots, and orchestration frameworks.
Deep understanding of agentic architectures, including multi-agent systems and autonomous workflows.
Experience in solution architecture, system design, and integration across enterprise platforms.
Ability to define strategy while also executing and delivering complex transformation programs.
Exposure to commercial pharma, including CRM, omnichannel, and healthcare professional or patient engagement use cases.
Excellent stakeholder management skills, including the ability to influence senior leaders and drive alignment.

Responsibilities

Drive execution of GenAI transformation projects and programs within Patient Impact, including scope, budget, vendors, timelines, and governance.
Manage delivery of complex initiatives and ensure strong program governance, prioritization, and value tracking.
Advise business leaders on GenAI capabilities and opportunities, and facilitate the organization’s transition to AI-first ways of working.
Lead end-to-end design of agentic AI solutions, ensuring robustness, scalability, and compliance in collaboration with other Digital Technology teams.
Define target architectures, including integration with CRM, data platforms, and external ecosystems.
Challenge vendors and partners on technical design, architecture, and implementation choices; select and manage technology vendors, AI partners, and system integrators.
Ensure alignment with Digital Technology AI, enterprise architecture, security, and data governance standards.
Define and drive the Patient Impact GenAI strategy, with a focus on agentic architectures such as agent-to-agent systems, orchestration layers, and super agents.
Identify high-impact use cases, including CRM evolution, personalization, omnichannel engagement, and patient journey optimization.
Translate business priorities into technology roadmaps and scalable AI solutions.
Serve as a thought leader on emerging GenAI and agentic paradigms in the pharmaceutical industry.
Build internal capabilities in agentic AI, orchestration frameworks, and GenAI platforms, and promote reuse of agents, tools, and workflows.
Contribute to enterprise-wide GenAI strategy and communities of practice.
Ensure solutions meet UCB standards for performance, scalability, compliance, and cost-effectiveness.