AI Platform & Digital Product Lead - Neural Nexus

ences** (e.g., executive cockpit/command center) and platform capabilities (e.g., integrations, reusable services, and new persona solutions such as Analytics and Execution workspaces).

Operating within a global delivery model, you will partner closely with Neural Nexus peers, Technology, AI&D, and business teams to ensure consistent execution, rapid iteration, and measurable business value.

Key Responsibilities

Platform Execution & Delivery

• Execute against the Neural Nexus platform roadmap, translating priorities into scalable, high-quality platform capabilities

• Own end-to-end delivery from design through deployment and iterative enhancement

• Determine how solutions are structured, built, and scaled within defined platform guardrails

Experience Development & Scaling

• 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

Platform Integration & Reuse

• Drive integration with enterprise data products, existing digital tools and platforms, 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

Cross-Functional Execution

• 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

Adoption & Value Realization

• 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

Continuous Improvement

• 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

Preferred Qualifications

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

• Minimum 8 years of experience in Pharma/Biotech commercial operations, analytics and reporting experience

• 5-7 years of experience in analytics, data, AI/ML, or technology delivery roles.

• 8-13 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; prior experience in digital product management roles

• 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

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