VP Data, Analytics, AI

Who we are

Teva is a global pharmaceutical leader and the world's largest generic medicines producer, committed to improving health and increasing access to quality health solutions worldwide. Our employees are at the core of our success, with colleagues in over 80 countries delivering the world's largest medicine cabinet to 200 million people every day. We offer a uniquely diverse portfolio of products and solutions for patients, and we've built a promising pipeline centered around our core therapeutic areas which include neuroscience, immunology, and immuno-oncology. We are continually developing patient-centric solutions and significantly growing both our generic, biosimilar, and innovative medicines business through investment in research and development, marketing, business development, and innovation. This is how we improve health and enable people to live better, healthier lives. Join us on our journey of growth!

The opportunity

Teva Pharmaceuticals is seeking a visionary Vice President of Data and Artificial Intelligence to spearhead our transformative initiatives in data, analytics and AI. As a key member of our leadership team, you will have the opportunity to drive innovation and create substantial business value through advanced data-driven strategies.

Key Responsibilities

• 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 the 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.

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• 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

Your experience and qualifications

• 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.

Already Working @TEVA?

If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.