IT Commercial AI & Agentic Solutions Lead
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Role details
Tech stack
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Job description
You will shape and deliver artificial intelligence solutions that improve commercial activities, engagement with healthcare professionals and patient outcomes.
Combining strategic leadership with hands-on delivery, you will turn business priorities into practical, scalable solutions. Your focus will include generative artificial intelligence and systems where multiple intelligent agents work together to complete tasks. You will guide initiatives from identifying opportunities through to implementation, ensuring they deliver business value and meet technical, security and compliance requirements., * Define the commercial generative artificial intelligence strategy and roadmap, prioritizing opportunities in customer relationship management, personalized engagement across channels and patient journeys;
- Lead complex transformation projects, managing scope, budgets, timelines, vendors and governance while tracking business value;
- Design scalable solutions & their architecture using intelligent agents and coordinated workflows, connecting them with customer relationship management systems, data platforms and external services;
- Be the technical product owner of the AI & agentic custom solutions being close to the build backlogs, release prioritisation and act as IT system owner of those solutions;
- Partner with business leaders to identify opportunities, explain technology options and support new ways of working;
- Select and manage technology partners, challenging their designs and ensuring solutions meet performance, security, compliance and cost requirements;
- Build internal expertise, encourage reuse of agents, tools and workflows, and contribute to company-wide artificial intelligence initiatives.
Requirements
- A Master’s degree in computer science, engineering, data science or a related field;
- At least 8 years of experience in digital technology or information technology leadership within complex enterprise environments;
- Experience in the pharmaceutical industry is required, exposure to commercial activities, customer relationship management or healthcare professional and patient engagement is preferred (Veeva/Vault CRM, Marketing automation, Pharma sales data, etc.);
- A proven track record of delivering artificial intelligence and generative artificial intelligence initiatives, ideally at scale and with measurable business impact;
- Strong technical expertise in large language models, retrieval-augmented generation, digital assistants, orchestration frameworks, multi-agent systems and autonomous workflows. Strong technical expertise in GenAI, including LLMs, RAG, copilots, and orchestration frameworks. Strong technical expertise in GenAI, including LLMs, RAG, copilots, and orchestration frameworks;
- Solid experience in solution architecture, system design and enterprise integration, with the ability to assess and challenge vendors’ technical choices;
- Strong project management, communication and stakeholder engagement skills, with the ability to influence senior leaders and combine strategic thinking with hands-on delivery;
- Fluent in English.
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