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. Publishing Pay Range: $100.00 – $160.00 hourly This position offers a hybrid schedule, with time split between the office and remote work.