Job
Description
At Novartis, innovation is at the heart of everything we do and AI is a key enabler in how we reimagine medicine. As an Associate Director Solution Delivery - AI Products, you ll lead the development and delivery of advanced AI solutions that transform commercial operations in the U.S. market. 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. Job Description 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. Skills Desired Budget Management, Business Acumen, Influencing Skills, Performance Management, Risk Management, Service Delivery Management, Strategic Planning, Waterfall Model
