Technical Client Partner - Pharma
375 Hudson Street New York New York 10014 United States, hybrid, full time, USD 2,20,000–2,80,000 / year
seen 58d ago
- Event-driven architecture
- Generative AI
- LLMs
- PaaS
- SaaS
- APIs
- Microservices
- SDLC
- Cloud-native architectures
- Data orchestration
About the role
At Publicis Sapient, we partner with leading healthcare and pharmaceutical organizations to solve complex business challenges through digital transformation. This is an opportunity to lead strategic technical client relationships in a high-growth segment, influence C-suite agendas, and help shape the future of commercial, customer, and digital innovation in Pharma.
As a Technical Client Partner at Publicis Sapient, you operate at the intersection of business strategy, technology, and transformation execution. No two days are the same. You are a trusted advisor, a systems thinker, and a hands-on architect shaping the future of complex enterprises.
You will spend your time helping organisations, particularly within healthcare and life sciences, evolve into data-driven, AI-enabled, and increasingly agentic enterprises. This includes advising senior client stakeholders in a “sell-to” engagement model, shaping transformation roadmaps, and designing architectures that translate ambition into scalable, compliant solutions.
From crafting a compelling future-state narrative for a CIO to engaging with cross-functional teams, to presenting industry perspectives to CDOs and CTOs, you will bring both strategic clarity and technical depth to every interaction.
What they are looking for
* Extensive experience in enterprise or solution architecture within consulting, digital transformation, or systems integration * Strong client-facing and advisory experience, with the ability to influence senior stakeholders * Deep understanding of modern architecture principles, including: * Cloud-native architectures (SaaS, PaaS, microservices) * Platform-based ecosystems and composable architectures * Enterprise integration (APIs, event-driven, data orchestration) * Practical experience with Data & AI architectures, including: * Generative AI, LLMs, and agentic systems * Data platforms, governance, and advanced analytics * Strong grounding in software engineering lifecycle (SDLC) and modern delivery models * Ability to bridge strategy and execution, translating vision into actionable roadmaps
* Bringing Primarily Experience within the Life Sciences and Pharma Industry * Ability to articulate a clear industry point of view across areas such as: * Clinical and R&D transformation * Commercial and patient engagement * Data-driven and AI-enabled healthcare ecosystems * Understanding of regulatory, privacy, and compliance considerations in healthcare environment
Read from careers.publicissapient.com, last seen 1d ago.