
Visionary Leader of AI Transformation
1 day ago
The Senior Director will lead the design, development, and execution of enterprise-wide artificial intelligence (AI), machine learning (ML), and digital transformation initiatives. This role will shape how advanced technologies drive innovation and enhance operational excellence across the value chain.
This position will lead the design and deployment of AI-driven platforms, implement modern analytics frameworks, and introduce intelligent automation to enable transformative capabilities.
Key Responsibilities:
- Define and lead the AI and digital innovation strategy in alignment with corporate OKRs.
- Partner with business leaders to identify high-impact opportunities for AI/ML adoption.
- Act as a thought leader and change agent, driving cultural adoption of AI and digital innovation.
- Lead a team driving the end-to-end AI product pipeline from prototyping to production deployment.
Tech Enablement:
- Develop and implement digital innovation roadmaps with a focus on AI/ML, automation, and advanced analytics.
- Evaluate emerging technologies for applicability within R&D, clinical, and commercial functions.
- Oversee the deployment of scalable AI platforms ensuring security, compliance, and ethical practices.
- Apply advanced techniques to build impactful solutions.
Collaboration & Stakeholder Engagement:
- Collaborate with R&D, clinical, regulatory, and commercial teams to integrate AI solutions into business processes.
- Establish partnerships with technology vendors and industry consortia.
- Communicate complex technical concepts to senior executives and stakeholders with clarity and impact.
- Prepare training on AI tools for staff members.
Execution & Delivery:
- Lead cross-functional teams in designing and delivering AI-enabled solutions with measurable outcomes.
- Oversee governance, data management, and regulatory compliance in all AI initiatives.
- Track ROI and performance metrics to evaluate success.
- Drive adoption of AI capabilities to enable predictive insights and automation.
- Proven expertise in AI/ML frameworks, with hands-on experience delivering enterprise-scale solutions.
- Ensure compliance with relevant data standards while embedding robust governance practices.
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