Assoc. Dir. DDIT US&I Solution Delivery Analytical Products

Job Description Summary

The ideal candidate will align innovation efforts with business and IT strategies, focusing on compliance and value creation. Responsibilities include overseeing end-to-end delivery of analytics services, managing resource planning, and fostering continuous improvement within the team. Expertise in MLOps, AWS, Databricks, and Snowflake, along with a strong foundation in agile delivery and CRISP analytical life cycle management, is essential

 

Job Description

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.

 

Skills Desired

Business Acumen, Customer Requirements, Financial Modeling, Innovation Consulting, Stakeholder Management, Technology Strategy, Vendor Management