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

• 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