Senior AI Expert
- Source: LinkedIn
- Aequor Information Technologies Pvt. Ltd.
- Remote
- New York City
- Senior
Job Description
Job Purpose
The Senior AI Expert is an enterprise AI leader responsible for one or more high-impact AI projects across Clinical Development. The role owns the strategy, design, implementation, and value realization of AI solutions that support decision milestones, regulatory requirements, and clinical/medical excellence.
Major Accountabilities
1. AI Program Leadership
- Develops and leads AI use case plans ensuring alignment to enterprise strategy, data platforms, and compliance standards
- Acts as AI leader, aligning internal stakeholders (such as CD, GMA, Data & Digital, Operations) and external experts (such as AI partners, vendors)
- Represents AI in enterprise governance and decision forums
- Defines and drives AI strategy and roadmap aligned to business priorities
2. Delivery & Execution of AI Solutions
- Oversees design, development, validation, and scaling of AI solutions
- Ensures high quality, robustness, and reproducibility of models
3. Value Realization & Decision Support
- Ensures AI solutions drive measurable business impact ensuring faster decision-making, improved quality of insights and increased productivity
- Supports scenario modelling and decision analytics
4. Governance, Ethics & Risk Management
- Ensures compliance with: AI governance frameworks and data privacy and regulatory requirements
- Manages AI risks (bias, explainability, data quality)
5. Capability & Culture Building
- Drives upskilling and adoption across Clinical Development
- Contributes to AI standards, platforms, and best practices
Key Performance Indicators
- AI-enabled improvements in clinical development speed and efficiency
- Adoption of AI outputs in decision-making and submissions
- Contribution to regulatory-ready evidence and insights
Ideal Background
Education
- PhD / MSc in Data Science, AI, Computer Science, or related field
- Domain experience in healthcare / clinical development preferred
Experience
- Extensive experience and proven track record in delivering AI at scale in enterprise environments
- Strong experience in translating business problems into AI solutions
Capabilities
- Deep expertise in AI, data science, and analytics
- Strong business and clinical understanding
- Ability to operate in complex matrix environments and influence senior stakeholders
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