Senior AI Enablement

Medison is addressing one of the pharma industry’s most pressing challenges: enabling access to breakthrough therapies for patients with severe and rare diseases in international markets where traditional commercialization models fall short. As the creator and leader of the global partnership category, Medison has built a first-of-its-kind unified commercialization platform that enables biotechs to effectively plan, optimize and launch their therapies on a global scale. With a strong leadership team and a proven track record, Medison is the partner of choice for innovative biotech companies seeking to expand beyond the US, Western Europe and Japan into regions where most of the world’s population resides. Medison’s affiliate-like model integrates commercial, medical and operational capabilities across diverse geographies, accelerating access and delivering life-changing treatments to more patients, faster. Medison is on a mission to ensure that every patient, regardless of where they live, has the opportunity to benefit from breakthrough therapies. We are looking for a professional Senior AI Enablement who can both shape and build: someone who will help define and drive the organization’s AI strategy and roadmap, and who is also a hands-on builder with deep AI expertise, able to turn priorities into working AI solutions that create real business impact. This role sits at the intersection of strategy, technology, and the business. You will work closely with business leaders (such as BD, Market Access, Alliance Management, and Commercial), product, and IBT to identify and prioritize where AI creates material value, design the right solutions and architecture, and personally build and deploy key solutions, not just recommendations or slide decks. You will be a key contributor to Medison’s AI operating model and AI Factory, helping set direction, governance, and standards, managing the AI initiatives portfolio, and building reusable capabilities that scale across the organization. Key responsibilities: AI strategy, governance & portfolio management Identify, assess, and prioritize AI use cases based on business value, feasibility, cost, risk, and data readiness Manage the AI initiatives portfolio: planning, prioritization, dependencies, follow-up, and execution rhythm across multiple workstreams Shape the AI operating model, governance, standards, and Responsible AI guidelines, in collaboration with Cyber, Legal, and IBT Define KPIs, ROI models, and cost considerations to support decision-making and track value realization Track the AI market and emerging technologies, and lead build vs. buy vs. configure decisions and vendor evaluations Hands-on build & architecture Design solution architecture: select the right models, platforms, and integration patterns with enterprise systems (e.g., ERP, Veeva/CRM, data platforms) Personally build and deploy AI solutions, from rapid prototype/POC to production: agents, copilots, RAG-based tools, and automations Leverage and extend enterprise AI platforms (e.g., Microsoft 365 Copilot, Copilot Studio, Azure AI / OpenAI) and integration tools Develop reusable components, templates, and best practices that accelerate delivery across the organization (AI Factory) Act as the go-to AI expert for business and IBT teams, guiding and reviewing the work of internal teams and vendors Minimum 6 years of experience in technology, AI, or digital transformation roles (e.g., AI/solutions engineering, solutions architecture, technical product management, or technology consulting), including at least 2 years of hands-on work with GenAI / LLM-based solutions Proven builder track record: has personally designed, built, and deployed AI solutions that real users adopted, not only prototypes or recommendations Deep understanding of AI and GenAI: LLMs, RAG, agents and orchestration, prompt engineering, evaluation, and model selection Solid understanding of solution and enterprise architecture, APIs and integrations, cloud (preferably Azure), security, and data governance Hands-on technical skills: coding or scripting (e.g., Python) and/or strong experience with AI and automation platforms (e.g., Copilot Studio, Azure AI, low-code tools) Experience defining technology or AI strategy and roadmaps, prioritizing initiatives, and building business cases (KPIs, ROI, cost) Experience managing multiple initiatives, stakeholders, and dependencies in parallel, including working with vendors Strong business acumen and the ability to translate complex business processes into AI-driven solutions Experience working with senior leadership; excellent communication, presentation, and influencing skills without direct authority Fluent English, written and verbal; Bachelor’s degree in Computer Science, Information Systems, Industrial Engineering, or a related field Advantages: Experience as a Forward Deployed Engineer, AI Solutions Engineer, or Solutions Architect in an AI-native company Experience with agent frameworks and MCP, and integration platforms (e.g., Workato, Power Automate) with enterprise systems such as ERP, Veeva, or CRM Experience in pharma, life sciences, or other regulated industries