Responsibilities:

• 1. Content Supply Chain Workflow Ownership
  • Own one or more end‑to‑end workflows across the content supply chain.
  • Define workflow intent, outcomes, and value, not isolated features.
  • Ensure workflows are coherent across regions, brands, and operating models.
  
  2. Agentic AI Enablement
  • Define how Agentic AI agents:
  - Orchestrate tasks across the workflow
  - Reduce manual effort and handovers
  - Enable adaptive, learning systems
  • Specify:
  - Human‑in‑the‑loop controls
  - Governance and escalation points
  - Compliance and trust requirements
  • Partner with AI and Engineering teams to ensure feasibility.
  
  3. Core Product as Infrastructure
  • Develop Core Product as a configurable platform and infrastructure layer, not a standalone product.
  • Define how core capabilities support:
  - AI‑driven workflows
  - Modular configuration
  - Enterprise scalability
  • Ensure infrastructure decisions align with long‑term workflow evolution.
  
  4. Data Flow & Integration Ownership
  • Define the implementation of:
  - End‑to‑end data flows across the workflow
  - Data ownership, dependencies, and movement
  - Analytics and measurement implications
  • Identify and document:
  - Integration requirements (internal and external)
  - System boundaries and constraints
  • Work closely with Solution Consultants, Business Analysts and Architecture teams during discovery.
  
  5. Commercialization & Value Realization
  • Define the commercial logic of workflows:
  - Value drivers
  - Pricing implications
  - Packaging options
  • Ensure workflows can be:
  - Explained clearly in commercial terms
  - Supported by scalable pricing models
  • Partner with Strategic Operations, Finance, and Sales to validate assumptions.
  
  6. Customer & Market Validation (with Sales, Solutions, CSMs and Delivery)
  • Collaborate with Sales and Solution Consultants on:
  - Deep discovery and use‑case validation
  - Workflow‑based demos
  - Technical and data feasibility assessment
  • Ensure customer insights directly influence:
  - Workflow prioritization
  - AI design decisions
  - Commercial positioning
  

Requirements:

• • 5+ years experience in Product Management or related strategic role
  • Demonstrated success in defining product strategy and launching products that exceed business objectives
  • Strong understanding of content supply chains in life sciences
  • Experience designing end‑to‑end workflows, not just features
  • Working knowledge of:
  - Agentic AI concepts
  - Platform/infrastructure thinking
  - Data flows and integrations
  • Ability to translate complex systems into clear value narratives
  • Commercial acumen: pricing logic, value drivers, packaging concepts
  • 3+ years of experience in Life Sciences industry
  • Proven ability to influence cross-functional teams without formal authority
  • Experience with pricing models, business case development, and financial analysis
  • Deep knowledge of product lifecycle management
  • Proficiency in Jira, Confluence, and product analytics tools
  • English proficiency - upper-intermediate level or higher