Life Sciences Integration Product Manager

Life Sciences Integration Product Manager

We are looking for a bright Life Sciences Integration Product Manager to join our Life Sciences Product team based in Louvain-la-Neuve, Belgium.

Who are we?

N-SIDE is a world leader in increasing the efficiency of life sciences and energy industries by providing software and services that optimize the use of natural resources, facilitating the transition to a more sustainable world.

To achieve this, N-SIDE leverages its deep industry knowledge, technical expertise, and understanding of applied mathematics to help global pharmaceutical and energy companies anticipate, adapt, and optimize their decisions.

In Life Sciences, we build innovative technologies to streamline the supply chain of hundreds of clinical trials around the world. Which leads to waste reduction, faster-commercialization of new treatments (such as Covid-19 or cancer drugs), and reduction in patient risks. We bring hope to patients and to our planet

We work with top 10 pharmaceutical companies in the world such as AstraZeneca or Boehringer Ingelheim.

What are we looking for?

We are looking for a senior, data-fluent Life Sciences Integration Product Manager to define and lead the roadmap for how N-SIDE products integrate with customers’ external data sources and enterprise systems.

As a Life Sciences Integration Product Manager, you will make N-SIDE the connected planning and decision-intelligence layer within our customers’ clinical-trial supply and manufacturing ecosystems. Your mission is to turn fragmented, often noisy data from systems such as IRT/RTSM, ERP, CTMS, data lakes and partner platforms into accurate, fresh, trusted signals that improve decisions and provide a 360° view of relevant data, status and processes.

This is a horizontal product role at the intersection of Life Sciences domain expertise, enterprise integration, data architecture and product strategy. You will own the *what* and *why* of the integration product area — not delivery of individual customer integrations — and will work closely with Engineering, peer Product Managers, Services, Sales and customer stakeholders to make integration capabilities repeatable, scalable and commercially meaningful.

What you’ll do

• Develop the vision and outcome-based roadmap for Life Sciences product integrations, prioritising opportunities based on customer value, adoption, business impact, technical risk and scalability.
• Define together with Engineering the integration product architecture and standard patterns that connect N-SIDE products to external systems and data sources,
• Lead continuous discovery with users, buyers, implementation teams, Customer Success, commercial teams and design partners to understand workflows, system landscapes, data pain points and market trends before committing to solutions.
• Translate business processes and customer needs into clear product requirements, integration blueprints, data contracts and scalable product capabilities.
• Define success metrics and feedback loops for the area, connecting usage, adoption, workflow success, data reliability, time-to-value, customer outcomes and business results.
• Create and evolve reusable integration templates, reference data mappings and operating models that reduce bespoke work, accelerate implementation and improve long-term maintainability.
• Represent the integration product area credibly in strategic customer conversations, complex pre-sales engagements, renewals and partnerships, explaining both business value and technical realities.

About you

• You have substantial product-management experience in B2B SaaS, enterprise software, data products, platforms or integrations, including independent ownership of a defined product area or capability.
• You are fluent in data and systems thinking. You can reason about data models, APIs, event and batch integrations, data lineage, data quality, security, observability and the trade-offs between standardisation and customer-specific needs.
• You communicate complex technical and operational concepts clearly to technical teams, business users and senior customer stakeholders. You can tell the strategic story behind the product—not just describe its features.
• You are comfortable making area-level decisions under ambiguity, influencing without authority and navigating competing customer, commercial, quality and engineering priorities.
• You have demonstrated AI product literacy: you understand where AI can help transform unstructured information into structured signals, as well as the importance of evaluation, explainability, governance, privacy and responsible use.
• You have worked with, or can quickly develop strong understanding of, enter