ELIQUENT Life Sciences

• Serves as a leading technical resource for AI tooling, operations, and integrations across the enterprise. • Architect and build end-to-end AI technical designs (including enterprise data pipelines, platform infrastructure, and systems integration) to ensure scalable, reliable deployment within the IT environment. • Oversee data readiness and pipeline development, ensuring high-quality data availability and robust platform capabilities to support AI initiatives at scale. • Support governance and risk management processes for AI, incorporating responsible AI practices and compliance measures (e.g., data privacy, bias mitigation) to ensure ethical, secure solutions. • Continually develops or improves all enterprise architectural domains of applications, data, network, and infrastructure. • Designs, implements, oversees, and continuously improves security, compliance, and availability. • Develops strategies and direction for applicable systems solutions including disaster recovery. • Assists with complex projects that require multiple technical disciplines serving as the escalation point of contact for technical projects from inception to delivery. • Serves as a strategic advisor to the organization on all AI technology matters.

• Work with cross-functional teams to identify and analyze business needs and opportunities for AI solutions, ensuring alignment with strategic goals. • Research, test, and evaluate AI tools and technologies to assess their suitability and effectiveness for identified use cases and business requirements. • Establishes and maintains Company AI operations including: Drive end-user adoption by coordinating AI solution deployment, user training, and change management initiatives to ensure successful integration and effective use of AI tools. • Define success metrics and track AI initiative outcomes to measure ROI and ensure solutions deliver tangible business value. • Collaborate with cross-functional stakeholders to translate business requirements into AI solution strategies and roadmaps aligned with organizational objectives. • Coordinate and drive the continual improvement cycle by capturing feedback, assembling resources, and holding accountability for results. • Support governance and risk management processes for AI, incorporating responsible AI practices and compliance measures (e.g., data privacy, bias mitigation) to ensure ethical, secure solutions. • Develops adoption strategies and investment directionality for applicable systems and solutions. • Establishes and maintains strategic relationships within the business leaders to meet ongoing demands. • Serves as a strategic partner to the organization on all AI technology matters.