Assoc. Dir. Product Management - Data Science Products

Roles and 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.

Essential Requirements:

• Bachelor’s or master’s degree in computer science, engineering, or related field.
• 10+ years of product management experience, with 5+ 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.

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.