Head, AI Strategy and Governance

Darum lohnt es sich

Acting as the central strategic integrator across Development, DDIT, and enterprise AI bodies, the role ensures governance forums, portfolio recommendations, and enterprise interfaces are well‑run, evidence‑based, and aligned, while final strategy, investment, and governance decisions remain with accountable senior leaders and decision forums. /p h3AI Strategy, Competitive Intelligence Strategic Positioning /h3 ul liMaintain and evolve the Development AI strategic narrative, planning materials, and strategic priorities in partnership with the Head of Development AI /li liEstablish and continuously mature a structured competitive intelligence capability (external benchmarking, competitor tracking, regulatory and technology landscape monitoring) /li liSynthesize competitive intelligence into actionable strategic insights to support leadership decision‑making /li liPrepare decision materials enabling leadership trade‑offs across AI initiatives based on value, risk, and competitive positioning /li liMonitor changes in the external landscape and recommend updates to strategic priorities, assumptions, and focus areas /li liProvide clear strategic visibility to senior leadership through structured updates and decision support /li /ul h3AI Portfolio Strategy Value Governance /h3 ul liMaintain portfolio prioritization principles, decision frameworks, and evaluation criteria used by leadership to make investment decisions /li liIntegrate competitive intelligence, external benchmarks, and innovation signals into portfolio recommendations /li liCoordinate portfolio reviews and prepare recommendations on priorities, sequencing, and trade‑offs /li liMaintain the value governance framework, including methods for defining, measuring, and assessing AI impact /li liTrack and report portfolio‑level progress, decision follow‑through, and value realization for leadership forums /li /ul h3AI Governance Risk Oversight (Strategic) /h3 ul liMaintain and continuously improve the Development AI governance framework, processes, and maturity roadmap in partnership with accountable leaders /li liEnsure alignment of governance approach with enterprise frameworks, regulatory expectations, and Responsible AI standards /li liMonitor governance effectiveness, risk themes, and compliance signals, and elevate issues to accountable decision‑makers /li liClarify governance roles, responsibilities, and forum interfaces to support effective decision‑making and accountability /li /ul h3AI Operating Model Organizational Design /h3 ul liMaintain and refine the Development AI operating model, including governance processes, decision interfaces, and role clarity /li liDocument and socialize decision rights, escalation paths, and accountability structures /li liCoordinate interfaces across Strategy, Governance, Product Program Delivery, DSAI, DDIT, and enterprise AI teams /li liRecommend operating model improvements to support scale, clarity, and execution effectiveness /li /ul h3Governance Bodies Enterprise Liaison /h3 ul liRun and coordinate AI governance forums within Development, including agenda‑setting, decision preparation, documentation, and follow‑through /li liServe as key liaison to enterprise AI Office, Trailblazer, and company‑wide governance bodies /li liCoordinate Development inputs into enterprise AI discussions and communicate outcomes back to stakeholders /li liSupport leadership by ensuring governance forums are well‑structured, insight‑driven, and decision‑oriented /li /ul h3Innovation, External Engagement Ecosystem /h3 ul liIdentify and develop external partnership opportunities and ecosystem insights aligned with AI priorities /li liLeverage competitive intelligence to assess and frame partnership options for leadership decision‑making /li liCoordinate external engagement activities and represent Development as delegated /li liMaintain visibility of external AI ecosystem and translate developments into strategic recommendations /li /ul h3AI Capability Building Change Management /h3 ul liIdentify capability implications of the AI strategy and governance model /li liRecommend priority capability‑building initiatives based on strategic and competitive needs /li liPartner with learning, change, and functional teams to coordinate enablement efforts /li liTrack effectiveness of capability‑building efforts in supporting adoption and governance maturity /li /ul h3Leadership Organizational Impact /h3 ul liLead the team responsible for AI strategy support, governance operations, portfolio decision support, and enterprise coordination /li liPromote clarity of roles, responsibilities, and decision processes across stakeholders /li liDrive cross‑functional coordination across Development, DDIT, and enterprise AI organizations /li /ul h3Education /h3 p(minimum/desirable): Advanced degree (PhD/Master) in data science, AI, technology, or scientific discipline /p h3Languages /h3 pFluent English (oral and written) /p h3Professional Experience /h3 ul liExtensive experience in AI, data, digital, or technology‑driven transformation /li liProven track record in defining and executing strategy in complex environments /li liExperience in governance, compliance, or risk management frameworks /li liStrong experience in portfolio management and cross‑functional program delivery /li liExperience working with external partners and innovation ecosystems /li liDemonstrated leadership in global, matrix organizations influencing without authority /li liStrong understanding of pharmaceutical development landscape /li /ul h3Skills Desired /h3 ul liAgile (Programming Methodology) /li liArtificial Intelligence (AI) /li liBusiness Value Creation /li liChange Management /li liCurious Mindset /li liData Governance /li liData Literacy /li liData Management /li liData Quality /li liData Science /li liData Strategy /li liData Visualization /li liDeep Learning /li liLearning Agility /li liMachine Learning (ML) /li liMachine Learning Algorithms /li liMentorship /li liNLP (Neuro‑Linguistic Programming) /li liGenAI /li liOrganization Awareness /li liStakeholder Engagement /li liStatistical Analysis /li liTime Series Analysis /li liVision /li /ul h3Benefits /h3 pCompetitive benefits including insurance plans, retirement plans, wellbeing resources, flexible and hybrid working options, and a minimum of 14 weeks paid parental leave. /p h3Commitment to Diversity and Inclusion / EEO /h3 pNovartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve. /p /p #J-18808-Ljbffr ppbSalary Range: /b CHF164,500.00 – CHF305,500.00 /p h3Job Description Summary /h3 pThe Head, AI Strategy Governance is responsible for maintaining, operationalizing, and continuously improving the Development AI strategy, governance model, and decision‑support processes in partnership with the Head of Development AI and senior leadership.

The role enables and drives strategic decision‑making for the AI portfolio, ensuring that priorities, investments, and capability evolution are consistently informed by robust competitive intelligence, external benchmarking, and market signals.