Work with stakeholders to define a common vision, strategy, and approach to data management, data analytics, and AI/ML. Align all related teams and initiatives across the organization with the vision and strategy.
Partner with stakeholders to identify, assess, and prioritize strategic investments in data and AI/ML that will drive business value and growth for Teva across corporate functions, R&D, manufacturing, and commercial teams
Determine the investments necessary in terms of people and technology to achieve these objectives while driving cross-functional enterprise solutions.
Develop a multi-year roadmap to create data analytics and AI/ML solutions based on strategic priorities.
Leverage data analytics and AI/ML to support the development of unique insights about Teva’s business and its customers/patients through qualitative and quantitative analytics.
Provide Teva employees with the capabilities to use data analytics and AI/ML to generate insights and support decision-making in their day-to-day jobs.
Create an AI ecosystem of partners/vendors for leveraging external capabilities and capacity to achieve Teva’s business objectives.
Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
Develop and implement a framework for measuring the impact of AI initiatives.
Remain abreast of competitive and market-based uses of data analytics and AI/ML to create sustainable value and competitive advantage for Teva
Recruit, develop, and retain a high-performing AI/ML and data science team. Build successors and a team that meets the business needs now and for the future.
Partner with stakeholders to raise awareness within Teva of data analytics and AI/ML capabilities.
Demonstrate exceptional leadership by developing and guiding high-performing teams specialized in data analytics and AI, fostering a culture of excellence and continuous improvement
Ensure compliance with regulatory requirements, privacy laws, and ethical standards governing the use of AI in Teva
Collaborate with Cyber Security to establish best practices for data governance, security, and transparency to build trust and mitigate risks associated with AI-driven solutions
Requirements & Skills:
Advanced degree (Ph.D. or M.Sc.) in computer science, artificial intelligence, machine learning, bioinformatics, or a related field – Preferred
Strategic thinker with a passion for innovation and a commitment to driving positive change in healthcare through AI and data
Proven track record of leadership in AI research, development, and implementation, preferably in the pharmaceutical or healthcare industry
Excellent leadership skills, with a track record of building and managing high-performing AI and data teams, alongside the ability to motivate and inspire teams to achieve ambitious goals
Excellent communication and collaboration skills, with the ability to influence and inspire teams across all levels of the organization
Strong understanding of regulatory requirements, ethical considerations, and industry standards related to AI and data in healthcare
Experience in developing and implementing data governance frameworks and policies.
Knowledge of cloud computing and big data technologies.
Familiarity with agile development methodologies and DevOps practices.
