Associate Director - Access Data Analytics and Solutions

BSI Associate Director, Access Data Analytics & Access Solutions

Job Description Summary

BSI Associate Director, Access Data Analytics & Access Solutions
#LI-Hybrid

Location: Hyderabad

The BSI Associate Director, Access Data Analytics & Access Solutions is responsible for leading the development, scaling, and operation of access-specific data products, analytics, and digital solutions that enable consistent, insight-driven access decision-making across International, Regional, and Country teams. The role owns a portfolio of access analytics solutions (dashboards, simulations, standardized analytics outputs, and AI-enabled tools) and acts as a bridge between access strategy, analytics, platforms, and execution, ensuring solutions are fit-for-purpose, adopted, and value-adding at scale.

Lead the development of a data driven, AI enabled V&A organization by supporting advanced analytics capabilities, defining data strategy and embedding AI strategy and solutions. Drive transformation from Data – AI

Job Description

Major Accountabilities

Access Data Analytics  & Solution Ownership:

• Lead design, development, and lifecycle management of access data and analytics solutions.

• Translate IV&A priorities into scalable analytics products aligned with Access, Pricing, HEOR, and TA needs.

• Lead IV&A Data strategy discussions e.g. EDM, DCam with relevant x functional stakeholders including BSI CLS teams

• Lead AI support to x-functional IV&A team to progress IV&A AI strategy

• Lead knowledge management for IV&A across HEOR, Pricing and TA Access

• Ensure data integrity, governance & standardization

• Develop dashboards and performance tracking systems

Data Stewardship, Quality & Governance:

• Act as custodian of access data standards, definitions, and quality controls.

• Define and execute V&A data strategy aligned with business priorities, lead Dcam, EDM processes for IV&A

• Implement data governance frameworks (standards, ownership quality controls)

• Oversee integration of data into AI use cases

• Ensure reliable, auditable access data flows across platforms and analytics solutions.

• Own SOPs and governance processes related to access data and analytics.

• Support Pricing, HEOR teams on data analytics and data strategy, operations, knowledge management tasks

Platform Enablement, AI strategy support & Adoption:

• Drive adoption of access analytics tools through training, enablement, and feedback loops.

• Act as product owner for access analytics platforms e.g Access 360, prioritizing enhancements based on impact.

• Responsible for KPI dashboards and platforms maintenance, in close collaboration with countries

• Oversee development and adoption of access tools and platforms e.g. Access 360, pricing platforms, HTA platforms

• Partner with BSI CLS AI team and data strategy teams to support data strategy, advanced analytics and AI use cases

• Support digital transformation initiatives within Pricing, HEOR & Access

• Support development and deployment of high impact AI use cases

• Partner with IT and data science teams to scale AI products and platforms

Cross-functional Collaboration:

• Partner with TA Access, Pricing Analytics, Early Assets / BD&L Analytics, HEOR, and Operations teams.

• Enable end-to-end access insights across the R-D-C continuum.

• Act as a strategic business partner for TA access, Pricing and HEOR teams on data management, knowledge management & AI strategy

People Leadership & Capability Building:

• Lead and develop a team of access data analysts and solution leads.

• Drive performance management, skill development, and succession planning.

Contribution to IV&A Transformation:

• Contribute to evolution of Access Excellence analytics, platforms, and AI roadmap.

• Support IV&A leadership with data-driven insights to improve access outcomes.

Requirements

• Post-graduate degree (Masters or PhD) in relevant discipline (including health economics, epidemiology, health services research, public health, or business management)

• 8–12 years’ experience in analytics, data, digital solutions, or access-related roles.

• Proven experience in data strategy, analytics or building or running analytics products or platforms.

• AI/ML concepts and applications knowledge

• Familiarity with generative AI and NLP use cases

• Track record of delivering data driven transformation initiatives

• Demonstrated people-management experience.

• Experience working in global, matrixed organizations

• Proven leadership (people management and project management)

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive workplace and diverse teams that reflect the patients and communities we serve.

Skills Desired

Experience Level

Mid Level