Job Description Summary
#LI-Hybrid
Job Description
Key Responsibilities:
Lead end‑to‑end delivery of AI and analytics solutions that elevate customer engagement across the marketing technology ecosystem.
Manage and evolve scalable analytics products that drive actionable, data‑driven insights for commercial decision‑making.
Build, deploy, and operationalize AI, machine learning, and generative artificial intelligence capabilities within marketing and engagement platforms.
Adapt global AI and analytics solutions to country needs while safeguarding standardization, quality, and scalability.
Partner with cross‑functional teams to identify opportunities and translate insights into measurable commercial impact.
Collaborate with Data, Analytics and Marketing Platforms to ensure seamless platform integration and performance.
Provide strategic input on prioritization, capability building, and roadmaps for AI and analytics in customer engagement.
Support budgeting, resource planning, timelines, and change‑management efforts across solution lifecycles.
Ensure marketing‑technology‑embedded AI solutions align with commercial objectives and evolve with platform advancements.
Monitor solution performance, optimize workflows, and promote best practices within a co‑creation, agile environment.
Essential Requirements:
Graduate‑level degree in a quantitative field such as data science, engineering, or mathematics.
At least six years of experience in data analytics, marketing science, or customer‑
engagement analytics within marketing technology environments.
Minimum six years working in the pharmaceutical, biotechnology, or healthcare sector in analytics or artificial‑intelligence‑
driven commercial roles.
Demonstrated experience designing and developing artificial‑intelligence, machine‑learning, and generative‑artificial‑
intelligence solutions, including those using unstructured data.
Proven ability to integrate artificial‑intelligence and analytics capabilities into customer‑relationship‑
automation platforms, and digital engagement ecosystems.‑management systems, marketing
Strong understanding of the pharmaceutical value chain, including field, marketing, and sales analytics.
Desirable Requirements:
Hands‑on experience working within agile methodologies and contributing to iterative solution delivery.
Ability to translate complex analytical outputs into practical recommendations that support commercial decision‑making.
Benefits and Rewards:
Company Pension Plan, Life and Accidental Insurance, Meals Allowance or Canteen in the office, Flexible working hours. Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: Novartis Life Handbook
Commitment to Diversity and Inclusion / EEO
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Agility, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Analytics, Data Strategy, Digital Marketing, Marketing Strategy, Market Research, Media Campaigns, Product Marketing, Stakeholder Engagement, Stakeholder Management, Team Leadership, Waterfall ModelDiscover exciting opportunities in sports tech. Join innovative companies that are advancing sports through cutting-edge technology.
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