DT Commercial AI & Agentic Lead

Role Summary

The Commercial AI & Agentic Lead is responsible for shaping and delivering AI and Generative AI (GenAI) transformation initiatives within a complex enterprise environment. This role leads the design, implementation, and scaling of agentic AI solutions, including multi-agent ecosystems, orchestration frameworks, and autonomous workflows. The position combines strategic leadership with hands-on delivery to ensure AI initiatives are scalable, secure, technically sound, and aligned with measurable business value.

Responsibilities

• Define and execute GenAI and agentic AI strategies aligned with business priorities and transformation objectives.
• Identify, evaluate, and prioritize high-impact AI use cases across commercial, customer engagement, CRM, personalization, and omnichannel capabilities.
• Lead complex AI transformation initiatives, managing scope, timelines, budgets, vendors, governance, priorities, and value realization.
• Design and guide the implementation of agentic AI solutions, including multi-agent systems, agent-to-agent orchestration, autonomous workflows, and related AI capabilities.
• Develop target solution architectures integrating AI capabilities with CRM, enterprise data platforms, applications, and external ecosystems.
• Ensure solutions align with established enterprise architecture, security, data governance, performance, scalability, and compliance requirements.
• Partner with business, technology, medical, marketing, and other cross-functional teams to identify requirements and co-develop AI-enabled solutions.
• Serve as a trusted technical advisor to business and technology leaders regarding GenAI capabilities, opportunities, architecture, and implementation considerations.
• Evaluate technical designs, architectures, implementation approaches, and delivery quality provided by technology vendors and partners.
• Manage relationships with technology vendors, AI partners, and systems integrators to support successful solution delivery.
• Promote reuse of AI components, agents, tools, workflows, and patterns to support scalable development and implementation.
• Build organizational capabilities and knowledge related to agentic AI, orchestration frameworks, GenAI platforms, and emerging AI technologies.
• Support organizational adoption of AI-enabled ways of working while maintaining appropriate governance and oversight.
• Monitor emerging GenAI and agentic AI technologies and identify opportunities to improve business capabilities and customer experiences.

Qualifications

• Minimum of 8 years of relevant experience in Digital Technology, IT, solution architecture, AI, or related technology leadership roles within complex enterprise environments.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or an equivalent combination of education and relevant experience.
• Demonstrated experience delivering AI and GenAI initiatives, preferably within large-scale enterprise environments.
• Strong technical knowledge of Generative AI technologies, including large language models (LLMs), Retrieval-Augmented Generation (RAG), copilots, agentic AI, and orchestration frameworks.
• Strong understanding of agentic architectures, including multi-agent systems, autonomous workflows, agent-to-agent interactions, and orchestration patterns.
• Experience designing enterprise solutions and integrations across applications, CRM platforms, data platforms, and related technology ecosystems.
• Demonstrated ability to translate business priorities and requirements into technology strategies, roadmaps, architectures, and scalable solutions.
• Strong program and project management skills with experience managing multiple priorities, stakeholders, vendors, timelines, and deliverables.
• Experience evaluating and challenging vendor-provided technical designs, architectures, and implementation approaches.
• Strong stakeholder management and communication skills, including the ability to communicate technical concepts and recommendations to senior leadership.
• Demonstrated ability to lead strategic initiatives while remaining actively involved in technical execution and delivery.
• Experience within the pharmaceutical or a similarly regulated industry is required.
• Experience with commercial pharmaceutical capabilities, including CRM, omnichannel engagement, healthcare professional engagement, personalization, or related use cases, is preferred.