Director, International Data Enablement

Key Responsibilities:

• Act as the main Data, Analytics, AI & Platform Data team point of contact for data enablement across International Medical Affairs (IMA), Value & Access (V&A) and Patient, partnering with business stakeholders to understand priorities, processes, analytics needs and AI/Agent opportunities. 

• Lead the expansion of International data capabilities beyond Commercial by establishing a scalable Data Enablement model for IMA, V&A and Patient, maximizing the reuse of existing data foundations, capabilities and standards.

• Ensure that Novartis International is maximizing its investment in Data by leading as the internal expert and proactively educates stakeholders on the value, availability, and proper use of data while automating, cost optimizing and harmonizing for redundancy. 
• Identify, assess and prioritize structured and unstructured data needs across Commercial, IMA, V&A and Patient, including medical insights, field medical activity data, scientific content, publications, market access materials and other relevant sources. 

• Lead the definition of data enablement requirements for structured and unstructured data use cases, including data access, metadata enrichment, taxonomy alignment, semantic tagging, contextualization, retrieval requirements and AI-readiness. 
• Support the development and adoption of semantic and contextual data capabilities, including semantic layers, business glossaries, ontologies, taxonomies, knowledge graphs, vector databases and other structures that enable scalable analytics, AI and Agent-based solutions. 

• Define the business context, terminology, concepts, relationships, trusted sources and governance expectations required to make IMA, V&A and Patient data understandable, discoverable and reusable by analytics products, AI solutions and digital Agents. 

• Partner with DDIT, Data Platform, AI & Data Science and Architecture teams to translate business requirements into feasible data and technology designs, ensuring alignment with enterprise standards, platform capabilities, privacy and compliance requirements. 

• Accountable for enabling reusable, governed and scalable data products for IMA, V&A and Patient, in alignment with Novartis Enterprise Data Management (EDM) standards, covering data quality, classification, cataloguing, lineage, ownership and business value realization. 

• Support the identification and resolution of data access, quality, metadata, integration and usability challenges that limit the ability of IMA, V&A and Patient teams to generate insights or deploy AI-enabled solutions. 

• Help establish and promote standard data enablement frameworks, templates and ways of working for engaging with new business domains, from demand intake and use case shaping through to requirement definition, prioritization and delivery tracking. 

• Act as an operational key partner for day-to-day data enablement topics related to IMA, V&A and Patient, coordinating with business and delivery teams, tracking progress, managing risks and feeding enhancement needs into backlogs and roadmaps. 

• Promote Agile and product-oriented ways of working, while staying current with industry best practices in data enablement, semantic technologies, unstructured data management, vector search, retrieval-augmented generation, AI/Agent enablement and responsible data governance. 

Essential Requirements: 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Analytics, Business, Life Sciences, Health Economics, or another relevant technical or business-related degree. Master’s degree preferred. 

• 8+ years of experience in data, analytics, data strategy, data enablement, digital transformation, IT, consulting, or a similar role. 

• 5+ years of Pharmaceutical, Biotech, Healthcare, Medical Affairs, Market Access, Value & Access, Commercial or related life sciences experience. 

• Experience working at the intersection of business and technology, translating business needs into data, analytics, AI or platform requirements. 

• Demonstrated experience supporting data enablement initiatives involving structured and unstructured data. 

• Working knowledge of unstructured data concepts, including document metadata, taxonomies, semantic tagging, content classification, information retrieval and AI-ready data preparation. 

• Understanding of semantic and contextual data enablement concepts, such as semantic layers, business ontologies, controlled vocabularies, knowledge graphs, metadata management, vector databases or retrieval-augmented generation patterns. 

• Ability to engage with both business and technical stakeholders and co-lead requirement definition for data products, analytics solutions, AI use cases or platform capabilities. 

• Experience with data governance, data quality, data cataloguing, data lineage, data access management or enterprise data management practices. 

• Understanding of cloud-based data platforms, data lakes, data warehouses, modern data architectures and data integration concepts. 

• Fluency in English, written and spoken. 

Desirable Requirements: 

• Experience in Commercial, Medical Affairs, Value & Access, Market Access, Health Economics and Outcomes Research, Real-World Evidence, Medical Insights or related pharmaceutical functions. 

• Experience enabling analytics or AI use cases involving medical, scientific, payer, access, evidence generation, publication, congress or customer engagement data. 

• Experience with Agent or Generative AI enablement, including retrieval-augmented generation, context engineering, prompt/context design, knowledge bases, vector search or enterprise AI governance. 

• Experience defining semantic models, domain ontologies, business glossaries, data dictionaries, taxonomies or knowledge structures for business domains. 

• Experience with platforms or tools related to metadata management, data cataloguing, data quality, document intelligence, semantic search, vector databases or knowledge graphs. 

• Ability to assess business value, feasibility, data readiness and governance requirements for emerging analytics and AI use cases. 

• Experience working in international, cross-functional teams, collaborating across global, regional and local stakeholders. 

• Experience working with DDIT, enterprise architecture, data engineering or platform teams to shape technical enablement requirements without directly owning implementation. 

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: 146,300.00 - 271,700.00 CHF

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

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.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards