Roles and Responsibilities:

• Develop an Analytical Workbench capability to create advanced analytics product/services roadmaps from concept to development to launch, encompassing technology adoption, product engineering, service design, security and compliance, and business process change.
• Incubate and adopt emerging (GenAI, AI, NLP) technologies and launch products/services faster with rapid prototyping & iterative methods to prove and establish value. For identified technologies, launch to enterprise scale, ensuring value is derived.
• Focus and align DnA innovation efforts with the Business strategy, IT strategy, and legal/regulatory requirements.
• Establish and update strategies, implementation plans, and value cases to implement emerging technologies.
• Drive innovation (GenAI, AI/MLOPs, NLP) using appropriate people, processes, partners, and tools.
• Identify and develop advanced analytics capabilities & ecosystem partnerships in alignment with DnA strategy and in support of Enterprise Architecture and Integration.
• Has end-to-end accountability for AWB services and products that are incubated, established, and delivered across cross-functional business areas.

• Serves as point of escalation, review, and approval for key issues and decisions.
• Take decisions on the AWB resource and capacity plans in line with Business priorities and strategies and close collaboration with delivery teams.
• Decide on continuous improvement within the team.
• Decides on the program timeline, governance, and deployment strategy

Main Requirements:

• University Degree and/or relevant experience and professional qualifications
• Solid understanding of analytical and technical frameworks for descriptive and prescriptive analytics
• Good familiarity with AWS, Databricks, and Snowflake service offerings. Abreast of emerging technology within AI/ML space
• Strong collaborative interactions with customer-facing business teams.
• Track record delivering global solutions at scale.
• Ability to work and lead (a cross-functional team) in a matrix environment.
• Product-centric approach to defining solutions. Collaborate with business in gathering requirements, grooming product backlogs, driving delivery, and ongoing data product enhancements.
• Agile delivery experience managing multiple concurrent delivery cycles with sound foundation in Analytical Data life cycle management.
• Soft Skills - Consulting, Influencing & persuading, Unbossed Leadership, IT Governance, Building High Performing Teams, Vendor Management, Innovative & Analytical Technologies

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