Product Lead - XDI

The mission of Aris Global is to empower life science organizations to deliver breakthroughs faster, more accurately, and with greater precision. Aris Global's software, services, and technologies are essential to the delivery of life-saving medications. As an industry leader, Aris Global offers software as a service for Clinical Trials, Regulatory Affairs, Drug Safety, and Medical Affairs. Our products are utilized by 40 out of 50 major biopharmaceutical companies.

Among our clients are four out of five of the world's most advanced global pharmaceutical companies and nine government-health authorities, including the FDA, Health Canada, and the National Medical Products Administration.

Aris Global boasts a worldwide presence with offices located in Boston,
Croatia, Slovenia, Tokyo, Shanghai, and India, At Aris Global, we are distinguished by the high caliber of our team and by our passion for creativity and innovation. We pride ourselves on our welcoming and supportive corporate culture, which is inclusive of all Team Members. Our challenging projects are complemented by flexible work locations and competitive salaries.

Position Summary

Aris Global is seeking a Product Lead to bring XDI, its Decision Intelligence product, from concept through customer validation, initial release and scale. The role will own day-to-day product execution for the first standalone XDI application, beginning with PV Operational Intelligence: a cockpit/workspace that makes operational intelligence visible, explainable and actionable.

Working under the strategic and commercial ownership of the GM of NavaX, the Product Lead will translate the XDI vision into buyer problems, personas, use cases, product journeys, roadmap, MVP scope and measurable outcomes. The role will work closely with customers, Product Design, the XDI Principal Data Architect and the engineering POD to create a scalable enterprise SaaS product with a differentiated semantic and knowledge core.

This is a customer-facing, zero-to-one product role. It requires the ability to balance immediate market delivery with the longer-term development of reusable XDI intelligence across applications, agents and life-sciences domains.

Responsibilities

• Own day-to-day product execution for XDI under the strategic and commercial direction of the General manager of NavaX.
• Define target buyers, personas, priority decisions, user journeys and use cases.
• Lead customer discovery and prototype validation with senior life-sciences stakeholders.
• Translate validated customer problems into product roadmap, MVP scope, backlog and acceptance criteria.
• Own the first PV Operational Intelligence application from concept through release and adoption.
• Define measurable customer and product outcomes.
• Work with Product Design to create operating, investigation, evidence, recommendation and action experiences.
• Work with the Principal Data Architect and engineering POD to balance application delivery with reusable semantic, knowledge and intelligence capabilities.
• Maintain clear boundaries between XDI, NavaX Agents, Life Sphere workflows and customer systems.
• Distinguish core product requirements from configurable extensions and customer-specific deployment needs.
• Ensure learning from lighthouse customers and forward-deployed work is converted into reusable product capability.
• Support packaging, pricing, positioning and go-to-market readiness.
• Monitor Decision Intelligence, enterprise AI and relevant competitive developments.
• Coordinate dependencies across Product, Engineering, Architecture, Services, Sales, Marketing and strategic partners.

Required Skills

• Customer discovery and hypothesis-driven validation.
• Commercial awareness: packaging, value proposition, measurable outcomes and adoption.
• Productising analytical or data-intensive capabilities.
• Enterprise operational or decision-support applications
• Strong ability to prioritize & manage multiple projects with strong attention to detail.
• Methodical, with strong project management skills.
• Strong communication skills, both written and verbal

Required Experience

• 5+ years of Product Management experience, preferably in enterprise SaaS organizations
  and/or a regulated industry
  . Life sciences beneficial but not mandatory.
• Proven experience with Decision Intelligence (DI) or advanced analytics platforms
  , with a track record of productizing frameworks that augment or automate complex decision-making.
• Familiarity or direct experience with Agentic AI, autonomous workflows, or LLM orchestration frameworks (e.g., building or configuring intelligent, self-directing AI features).
• Strong technical literacy in Data Science concepts
  ; comfortable collaborating with data scientists on data modeling, and model validation.
• Experience defining MVPs and moving from prototype to production.
• Experience managing configurable products without allowing bespoke customer work to fragment the roadmap.
• Experience working with senior enterprise buyers.
• Experience with bringing functional and technical concepts…