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Novartis

Executive Director, AI Platform Engineering Lead

Novartis

Executive Director leading AI Platform Engineering at Novartis. Driving AI transformation and enabling data-driven decision-making leveraging advanced analytics for business growth.

Posted 6/12/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $225,400 - $418,600 per yearWebsite

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Hard Skills
AI platform developmentplatform engineering standardsarchitectural principlesdevelopment practicesintegrationdeploymentoperational excellencesystem modernizationproduct managementdata science
Soft Skills
leadershiporganizational developmentcross functional influenceexecutive communicationstrategic thinkingteam collaborationrisk managementstakeholder engagementcontinuous improvementperformance management
Certifications & Qualifications
Bachelor's degreeMaster of ScienceMBA
Industry Keywords
agentic AIproduct managementengineering strategyplatform capabilitiesbusiness teamsdatainfrastructuresecuritysenior product leadersprogressive experience

About the role

Key responsibilities & impact
  • Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform.
  • Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities.
  • Establish platform engineering standards, architectural principles, and development practices.
  • Lead cross functional engineering teams in building reusable platform services, tools, and components.
  • Partner with product, data, infrastructure, security, and business teams.
  • Drive platform performance, operational excellence, and continuous improvement.
  • Guide the modernization of existing systems and processes.
  • Communicate platform strategy, technical direction, delivery progress, risks, and investment needs to senior executives and key stakeholders.

Requirements

What you’ll need
  • A minimum of a Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred
  • 15 plus years of progressive product management experience, including significant leadership over senior product leaders
  • Deep expertise in AI driven product management
  • Proven people leadership and organizational development capability
  • Strong cross functional and executive influence skills
  • Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.

Benefits

Comp & perks
  • health, life and disability benefits
  • 401(k) with company contribution and match
  • generous time off package including vacation, personal days, holidays and other leaves
  • performance-based cash incentive
  • eligibility to be considered for annual equity awards