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Executive Director – Applied AI
NovartisExecutive Director leading Novartis’s enterprise applied AI strategy, architecture and production deployments. Building AI products, intelligent workflows and a globally distributed engineering team for healthcare innovation.
Posted 8/9/2026full-timeCambridge • Massachusetts, New Jersey • 🇺🇸 United StatesLead💰 $225,400 - $418,600 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading applied AI deployment strategies, integrating complex AI solutions into enterprise platforms, and driving measurable business outcomes. Proven ability to build and lead cross-functional teams while ensuring scalability, security, and operational adoption of AI technologies.
Highest-signal resume keywords
Applied AI Deployment StrategyMachine Learning ExpertisePython ProficiencyCloud Platforms (AWS)Enterprise AI Transformation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AIAgentic SolutionsTechnical Solution ArchitectureMLOps/LLMOpsSoftware EngineeringSystem Integration PatternsModel OrchestrationAPIsWorkflow AutomationData Environments
Soft Skills
Executive CommunicationCross-Functional InfluencePeople LeadershipOrganizational Development
Tools & Technologies
LLM Orchestration FrameworksVector DatabasesCloud Infrastructure
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree or MBA Preferred
Industry Keywords
HealthcareLife SciencesRegulated EnvironmentZero-to-One Startup Experience
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Define and lead the applied AI deployment strategy, execution roadmap and business integration model across enterprise business units
- Partner directly with business teams to translate strategic priorities into deployable products, intelligent workflows and redesigned processes
- Lead technical solution architecture for complex AI deployments, including application architecture, system integration patterns, model orchestration, APIs, security controls and production infrastructure
- Lead end-to-end implementation, customization, integration and scaling of generative AI, agentic systems and workflow automation solutions in production environments
- Build, lead and coach a small, globally distributed team of forward deployed AI engineers
- Establish delivery frameworks and engineering standards supporting scalability, reliability, security, maintainability and operational adoption
- Create reusable AI services, accelerators, evaluation frameworks, blueprints and integration patterns
- Partner with data, infrastructure, information security, architecture, compliance and business teams
- Track solution performance, adoption and business value through monitoring, feedback loops, user analysis and continuous service optimization
- Guide modernization of existing systems and processes for integration with agentic AI products, applied AI models and enterprise technology platforms
- Communicate business impact, technical transformation vision, delivery progress, risks and investment needs to senior executives and key stakeholders
Requirements
What you’ll need- Bachelor's degree in computer science, engineering, data science or a related field
- At least 15 years of progressive experience in technology leadership, enterprise AI transformation or complex solution delivery
- Experience leading senior technical and cross-functional teams
- Deep hands-on expertise taking machine learning, generative AI and agentic solutions from concept through production and enterprise-scale adoption
- Strong software and product engineering grounding
- Experience integrating AI into complex enterprise platforms, data environments and operational workflows
- Hands-on proficiency with Python
- Experience with cloud platforms such as AWS
- Experience with LLM orchestration frameworks, vector databases, MLOps/LLMOps and software delivery practices
- Demonstrated success defining and scaling enterprise-level AI initiatives with measurable business value, automation or performance outcomes
- Experience leading forward deployed, solutions engineering or technical consulting teams
- Consulting or professional-services experience partnering with senior technology and business leaders
- Proven people leadership and organizational development capability
- Strong executive communication and cross-functional influence skills
- Master's degree, engineering postgraduate degree or MBA preferred
- Experience in healthcare, life sciences or another complex regulated environment, or prior zero-to-one startup experience, desirable
Benefits
Comp & perks- Performance-based cash incentive
- Eligibility to be considered for annual equity awards, depending on the level of the role
- Comprehensive health benefits
- Life benefits
- Disability benefits
- 401(k) with company contribution and match
- Vacation
- Personal days
- Holidays
- Other leaves
- Reasonable accommodation for individuals with disabilities