Digital Product Manager

• Execute and scale key components of the Neural Nexus (NN) platform roadmap
• Own end-to-end delivery from design through deployment and iterative enhancement
• Determine how solutions are structured, built, and scaled within defined platform guardrails
• Lead development of key platform experiences (e.g., AI-powered Executive Command Center, Analytics Workspaces) with a focus on usability, performance, and adoption
• Drive solutions from POC to production, ensuring scalability, reuse, and alignment with platform standards
• Leverage GenAI/LLM-powered capabilities and agent-based workflows to deliver intelligent solutions
• Continuously refine capabilities based on user feedback and usage insights
• Drive integration with enterprise data systems, AI/ML models, and external tools
• Partner with Technology and AI&D to align with architecture, data, and GenAI standards
• Promote modular, reusable components to accelerate scaling and reduce duplication
• Translate business needs into clear execution plans, aligning stakeholders on scope, timelines, and outcomes
• Coordinate across global teams to ensure consistent delivery across a distributed model
• Identify and resolve risks, dependencies, and bottlenecks
• Ensure solutions are embedded into business workflows and drive measurable impact
• Track adoption, usage, and performance metrics to optimize delivery outcomes
• Partner with change management and training teams to support adoption
• Iterate on platform capabilities based on feedback and performance data
• Contribute to platform playbooks, standards, and best practices
• Identify opportunities to enhance capabilities through improved design or new AI approaches

• Minimum 5 years of experience in Pharma/Biotech commercial operations, analytics and reporting experience
• 2–3 years of experience in analytics, data, AI/ML, or technology delivery roles
• 5-8 years of experience in digital platform product management, AI/ML-driven solutions, or enterprise digital product development
• Proven experience executing and scaling platform or product initiatives, delivering production-ready solutions
• Experience delivering across: 0→1 (POCs, rapid prototyping), 1→N (scaling, enterprise rollout)
• Strong understanding of Generative AI / LLM-based applications, including agentic workflows
• Experience working with engineering and data science teams to deliver AI-powered solutions
• Experience driving system integration and platform interoperability
• Strong product mindset with focus on usability, reuse, and business impact
• Ability to translate business requirements into execution plans and drive delivery across cross-functional teams
• Experience operating in a global delivery model
• Strong execution, problem-solving, and stakeholder management skills
• Excellent communication skills across technical and business audiences

Bachelor’s degree in AI/ML, Data Science, Computer Science, Analytics, Engineering, or related discipline