Salary Range:
£118,020.00 - £219,180.00
Band
Level 7
Job Description Summary
Location: Multiple Location Opening, please apply to the location preferred.
Job Description
AI Strategy, Competitive Intelligence & Strategic Positioning
Maintain and evolve the Development AI strategic narrative, planning materials, and strategic priorities in partnership with the Head of Development AI
Establish and continuously mature a structured competitive intelligence capability (external benchmarking, competitor tracking, regulatory and technology landscape monitoring)
Synthesize competitive intelligence into actionable strategic insights to support leadership decision-making
Prepare decision materials enabling leadership trade-offs across AI initiatives based on value, risk, and competitive positioning
Monitor changes in the external landscape and recommend updates to strategic priorities, assumptions, and focus areas
Provide clear strategic visibility to senior leadership through structured updates and decision support
AI Portfolio Strategy & Value Governance
Maintain portfolio prioritization principles, decision frameworks, and evaluation criteria used by leadership to make investment decisions
Integrate competitive intelligence, external benchmarks, and innovation signals into portfolio recommendations
Coordinate portfolio reviews and prepare recommendations on priorities, sequencing, and trade-offs
Maintain the value governance framework, including methods for defining, measuring, and assessing AI impact
Track and report portfolio-level progress, decision follow-through, and value realization for leadership forums
AI Governance & Risk Oversight (Strategic)
Maintain and continuously improve the Development AI governance framework, processes, and maturity roadmap in partnership with accountable leaders.
Ensure alignment of governance approach with enterprise frameworks, regulatory expectations, and Responsible AI standards.
Monitor governance effectiveness, risk themes, and compliance signals, and escalate issues to accountable decision-makers.
Clarify governance roles, responsibilities, and forum interfaces to support effective decision-making and accountability
AI Operating Model & Organizational Design
Maintain and refine the Development AI operating model, including governance processes, decision interfaces, and role clarity
Document and socialize decision rights, escalation paths, and accountability structures
Coordinate interfaces across Strategy, Governance, Product & Program Delivery, DSAI, DDIT, and enterprise AI teams
Recommend operating model improvements to support scale, clarity, and execution effectiveness
Governance Bodies & Enterprise Liaison
Run and coordinate AI governance forums within Development, including agenda-setting, decision preparation, documentation, and follow-through
Serve as key liaison to enterprise AI Office, Trailblazer, and company-wide governance bodies
Coordinate Development inputs into enterprise AI discussions and communicate outcomes back to stakeholders
Support leadership by ensuring governance forums are well-structured, insight-driven, and decision-oriented
Innovation, External Engagement & Ecosystem
Identify and develop external partnership opportunities and ecosystem insights aligned with AI priorities
Leverage competitive intelligence to assess and frame partnership options for leadership decision-making
Coordinate external engagement activities and represent Development as delegated
Maintain visibility of external AI ecosystem and translate developments into strategic recommendations
AI Capability Building & Change Management
Identify capability implications of the AI strategy and governance model
Recommend priority capability-building initiatives based on strategic and competitive needs
Partner with learning, change, and functional teams to coordinate enablement efforts
Track effectiveness of capability-building efforts in supporting adoption and governance maturity
Leadership & Organizational Impact
Lead the team responsible for AI strategy support, governance operations, portfolio decision support, and enterprise coordination
Promote clarity of roles, responsibilities, and decision processes across stakeholders
Drive cross-functional coordination across Development, DDIT, and enterprise AI organizations
Requirements:
Education
(minimum/desirable): Advanced degree (PhD/Master) in data science, AI, technology, or scientific discipline
Languages: Fluent English (oral and written)
Experience/Professional:
Extensive experience in AI, data, digital, or technology-driven transformation
Proven track record in defining and executing strategy in complex environments
Experience in governance, compliance, or risk management frameworks
Strong experience in portfolio management and cross-functional program delivery
Experience working with external partners and innovation ecosystems
Demonstrated leadership in global, matrix organizations influencing without authority
Strong understanding of pharmaceutical development landscape
Rewards
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.
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 a minimum of 14 weeks paid parental leave.
Expected Annual Base Salary Range for role:
London: 118,020.00 - 219,180.00 GBP Annual
The 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. 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 / EEO paragraph:
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
Switzerland Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision