摘要
You will sit at the intersection of technology, data science, and business — owning the product lifecycle from discovery to deployment, while fostering a culture of experimentation, innovation, and continuous delivery. Working within the DD&T Commercial organization, you’ll turn novel ideas into production-ready products that deliver real-world impact.
About the Role
Key Responsibilities
Product Strategy & Innovation
- Shape and own the product roadmap for AI solutions that power next-gen commercial capabilities — including intelligent targeting, omnichannel orchestration, and HCP engagement optimization.
- Drive innovation by scouting new AI technologies, validating ideas through MVPs and pilots, and scaling high-value solutions.
- Translate commercial objectives into actionable technical requirements and solution architectures.
Technical Delivery & Solution Ownership
- Lead cross-functional teams (data science, data engineering, MLOps, digital product) to build, deploy, and operate production-grade AI solutions.
- Oversee technical delivery from data ingestion and model development to deployment, monitoring, and retraining.
- Ensure models are performant, scalable, secure, and seamlessly integrated into platforms such as CRM and content engines.
Stakeholder Management & Business Alignment
- Partner with commercial stakeholders (field teams, marketing, analytics) to define needs, align priorities, and drive adoption.
- Act as a translator between business and technical teams — clearly communicating trade-offs, timelines, and value.
- Provide thought leadership and influence stakeholders at multiple levels, from working teams to senior leadership.
Compliance & Responsible AI
- Ensure solutions align with Novartis standards and external regulations
- Embed ethical AI principles into product design — including fairness, transparency, and accountability.
Core Technical Focus Areas
- AI/ML Development: Supervised learning, NLP, recommender systems, experimentation frameworks.
- Data Infrastructure: Scalable pipelines, real-time data ingestion, structured/unstructured healthcare data.
- MLOps: Model deployment, versioning, monitoring, and retraining workflows (MLflow, Airflow, SageMaker, etc.).
- Integration: REST/gRPC APIs, integration with CRM (e.g., Veeva), content platforms, and campaign engines.
- Cloud Platforms: AWS, Azure, or GCP environments for AI/ML workloads and data operations.
What You’ll Bring
- 5+ years of product management experience, with 2+ years in AI/ML or data-centric product delivery.
- Strong technical foundation and experience working closely with engineering and data science teams.
- Demonstrated ability to deliver AI products from concept to production, including service ownership.
- Strong stakeholder management skills, with the ability to influence across technical and business domains.
- Experience in healthcare, life sciences, or other regulated environments is a plus.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? http://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: http://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: http://www.novartis.com/careers/benefits-rewards
