Product Manager
2 months ago
Product Manager Introduction to Role:
Join our Commercial Data Science and AI team, where we deliver digital and technology solutions to multiple business areas across OBU and BBU in the Global markets. As the Product Manager, you will be responsible for driving AI initiatives, fostering innovation, and working with a multi-functional team.
Accountabilities:
As a member of the Commercial Data Science & AI team whose mission is to take a patient- centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them.
This responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across Bio-pharma and Oncology businesses. The scope of this role is Global serving all the markets where life-changing medicines are approved to help Patients live longer and realize bold ambition.
You will be working with cross-functional teams across the geographies comprising of Business Excellence, brand and marketing teams and AI Scientists and AI Engineers. You will play a key role in shaping our AI strategy, developing pioneering AI solutions, ensuring successful project delivery, and implementing standard methodologies and hence deliver value for the business.
You will work to define and implement the AI strategy, finding opportunities for AI adoption and driving business impact. You will lead the end-to-end delivery of AI projects, from ideation to deployment. You will maintain a deep understanding of AI and machine learning technologies, MLOps tools, and stay updated on industry trends.
Key Responsibilities:
- Develop a deep understanding of the business and its core markets.
- Understand the current solution and the framework/architecture
- Plan and execute the deployment of solution across other TA and geographies
- Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment of capabilities.
- Present the solution to stakeholders and solve the real-world business problems
- Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.
- Support the full solution architecture cycle and lead the development work of core components.
- Collaborate with ML Ops to prepare and document solutions for the transition to maturity/industrialization team.
- Actively seek out, develop, and share best practices. Stay abreast of the evolving technical landscape and remain current on the major data science development.
- Manage onshore and offshore external consultants.
Essential Skills/Experience:
- Bachelors or Masters (or equivalent numbers of years of experience) in mathematics, computer science, engineering, physics, statistics, computational sciences or a related field.
- Excellent communication and presentation skills, with the ability to convey complex AI concepts to non-technical partners.
- Ability to take initiative/navigate in a matrix environment.
- Project Management skills/Presentation skills, with a track record of leading successful AI projects and teams.
- Effectively interact and build strong relationships with colleagues from different functions/countries.
- Knowledge of software development principles
- Experience in data and analytics (AI / ML desirable but not essential).
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