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Digital Transformation Leader

2 weeks ago


Melbourne, Victoria, Australia beBeeAnalytics Full time $280,000 - $330,000

As a visionary leader in advanced analytics and AI, you will play a pivotal role in driving innovation and growth within our organization.

Job Summary

The R&D Advanced Analytics and AI Lead is responsible for executing the digital acceleration roadmap, focusing on delivering business value through cutting-edge technologies. This role collaborates closely with cross-functional teams to oversee the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain.

Key Responsibilities
  • Develop and execute a comprehensive digital strategy, leveraging advanced analytics and AI to drive business outcomes.
  • Identify and prioritize disruptive technologies and use cases, such as generative AI, intelligent automation, simulation, and digital twins.
  • Partner with business stakeholders to develop scalable, production-ready digital solutions that meet business needs.
  • Lead agile teams to develop models, tools, and platforms aligned with R&D requirements.
  • Drive rapid experimentation and innovation, ensuring feasibility, compliance, and user adoption.
  • Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes.
  • Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia to stay at the forefront of technological advancements.
  • Build internal capabilities and talent pipelines for digital and analytics functions, ensuring a skilled workforce to support digital transformation.
  • Ensure that all AI, automation, and advanced analytics solutions are implemented in a compliant manner, supporting readiness for regulatory audits and inspections involving emerging technologies.
  • Provide thought leadership in AI, including the development and implementation of AI governance frameworks, ethical AI practices, and active engagement with industry forums to shape standards and best practices.
Requirements
  • Master's or Ph.D. in Data Science, Engineering, Computer Science, or related fields.
  • 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry.
  • Deep knowledge of life sciences and experience applying AI/ML and automation in scientific or regulatory domains.
  • Demonstrated ability to deliver AI-enabled tools in regulated environments.
  • Strong cross-functional collaboration and change leadership skills.
  • Expertise in digital product lifecycle, from experimentation to scale.
  • Experience supporting regulatory audits and inspections involving emerging technologies, including AI and automation, in a GxP or highly regulated environment.

At our organization, we foster a culture of innovation, collaboration, and continuous learning. We offer a dynamic work environment, opportunities for professional growth, and a chance to make a meaningful impact on the treatment of rare and serious diseases.