Director AI Enablement Lead

Novartis AG; Sabadell; On-site; EUR 65,000 - 121,000; Full time

Benefits offered by this job

Company Pension Plan

Life and Accidental Insurance

Meals/allowance or canteen in the офис

Flexible working hours

Job summary

Novartis AG in Spain seeks an AI Enablement & Delivery Lead to define and execute AI capabilities within the Statistical Compute Environment and the broader Domino ecosystem. You will translate business priorities into secure, scalable, production-ready AI solutions, working across platform engineering, data science, security and business teams.

You will own end-to-end delivery, shape the GenAI architecture, and establish reusable onboarding patterns to accelerate AI use cases while ensuring

Qualifications

• Significant experience designing and delivering enterprise AI platforms at scale.
• Strong knowledge of security, identity and governance, including authentication and compliance controls.
• Proven experience taking AI solutions from PoC to production-ready implementation.
• Fluent English.

Responsibilities

• Define and execute the AI roadmap for the Statistical Compute Environment and related ecosystem, translating Domino product strategy and the Novartis AI landscape into a prioritized delivery plan and production-ready capabilities.
• Own end-to-end delivery of AI platform capabilities, spanning engineering, security, compliance, production readiness, adoption and measurable business value realization.
• Define the end-to-end GenAI architecture, from cloud model providers such as AWS Bedrock through enterprise LLM gateways to the applications and use cases that consume them.
• Design secure, identity-aware access, including authentication, authorization and traceability, ensuring model usage is secure, auditable and attributable to each user and use case.
• Establish standards and reusable onboarding patterns, defining appropriate guardrails, logging, model access and shared platform services that enable teams to deliver AI use cases quickly and consistently.
• Act as the technical design authority, driving and documenting key architecture decisions across internal teams, platform vendors and cloud providers and taking designs through enterprise architecture, security and compliance reviews.
• Enable production scale, defining requirements for resilience, performance, observability, validation, security and cost management so AI solutions can progress from proof of concept to validated production in a regulated GxP environment.
• Evaluate, onboard and enable AI tools and services, assessing emerging Domino and enterprise AI capabilities and integrating selected services into the QUANTA and broader Novartis AI ecosystems.
• Translate business and scientific requirements into delivered solutions, prioritizing use cases and platform investments, selecting appropriate GenAI and data science techniques and driving implementation and adoption.
• Shape the future AI capability portfolio, identifying high-value opportunities for the quantitative science organization and translating selected innovations into roadmap investments.

Skills

AI platform architecture

Security & governance

Production AI delivery

GenAI/RAG techniques

Cross-functional collaboration

Stakeholder management

Fluent English

Tools

Domino Data Lab

AWS Bedrock

Job description

Salary Range: €65,200.00 - €121,000.00

Job Description Summary

The AI Enablement & Delivery Lead is responsible for defining and executing AI capabilities for the Statistical Compute Environment, related Domino ecosystem and broader Novartis AI landscape. The role translates business and scientific priorities, Domino product strategy and the Novartis AI landscape into secure, compliant, scalable and production-ready capabilities. It owns delivery from architecture and engineering through adoption and measurable value realization and serves as the technical design and delivery authority across cross-functional teams and vendors. Working across platform engineering, data science, enterprise AI, security, architecture and business teams, the role integrates the Statistical Compute Platform with the Novartis AI ecosystem, establishes secure and reusable enablement patterns and turns prioritized use cases into production-ready AI solutions.

Job Description Key Responsibilities

• Define and execute the AI roadmap for the Statistical Compute Environment and related ecosystem, translating Domino product strategy, AQS priorities and the Novartis AI landscape into a prioritized delivery plan and production-ready capabilities.
• Own end-to-end delivery of AI platform capabilities, spanning engineering, security, compliance, production readiness, adoption and measurable business value realization.
• Define the end-to-end GenAI architecture, from cloud model providers such as AWS Bedrock through enterprise LLM gateways to the applications and use cases that consume them.
• Design secure, identity-aware access, including authentication, authorization and traceability, ensuring model usage is secure, auditable and attributable to each user and use case.
• Establish standards and reusable onboarding patterns, defining appropriate guardrails, logging, model access and shared platform services that enable teams to deliver AI use cases quickly and consistently.
• Act as the technical design authority, driving and documenting key architecture decisions across internal teams, platform vendors and cloud providers and taking designs through enterprise architecture, security and compliance reviews.
• Enable production scale, defining requirements for resilience, performance, observability, validation, security and cost management so AI solutions can progress from proof of concept to validated production in a regulated GxP environment.
• Evaluate, onboard and enable AI tools and services, assessing emerging Domino and enterprise AI capabilities and integrating selected services into the QUANTA and broader Novartis AI ecosystems.
• Translate business and scientific requirements into delivered solutions, prioritizing use cases and platform investments, selecting appropriate GenAI and data science techniques and driving implementation and adoption.
• Shape the future AI capability portfolio, identifying high-value opportunities for the quantitative science organization and translating selected innovations into roadmap investments.

Essential Requirements

• Significant experience designing and delivering enterprise AI, GenAI or data science platforms and capabilities at scale.
• Strong expertise in AI platform architecture, including cloud-hosted models, LLM gateways, platform services and production applications.
• Strong knowledge of security, identity and governance, including authentication, authorization, traceability, responsible AI and compliance controls.
• Proven experience taking AI solutions from proof of concept through to scalable, production-ready implementation.
• Practical expertise in GenAI and data science techniques, including prompt and context engineering, Retrieval-Augmented Generation (RAG), fine-tuning, model training and evaluation.
• Experience defining reusable technical standards, shared services and onboarding patterns that enable AI adoption across multiple teams.
• Experience working across complex, cross-functional environments and influencing architecture, engineering, security, data science and business stakeholders.
• Strong communication and stakeholder management skills, with the ability to translate complex technical topics into clear business decisions.
• Fluent English.

Desirable Requirements

• Experience with Domino Data Lab, AWS Bedrock or comparable enterprise AI and machine learning platforms.
• Experience designing AI solutions within pharmaceutical, life sciences or another highly regulated environment.
• Knowledge of GxP, validation and regulated data environments.
• Experience working with technology vendors, cloud providers and strategic platform partners.

Benefits & Rewards

• Annual Base Salary Range for the role: 65,200.00 - 121,000.00 EUR Annual
• 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 will be reviewed periodically after joining Novartis.
• 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.
• Company Pension Plan
• Life and Accidental Insurance
• Meals/allowance or canteen in the office
• Flexible working hours
• Benefits and compensation may vary and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable.
• A full overview of the compensation package and any relevant collective bargaining agreement details applicable to the role will be communicated separately during the application process.

Commitment to Diversity & 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? Join our Novartis Network

Skills Desired

Budget Management, Business Acumen, Digital Literacy, Operational Excellence (OpEx), Performance Management (PM), Project Management, Risk Management, Service Delivery Management, Stakeholder Management, Strategic Planning, Talent Development, Technology Use Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together.

In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov.