Senior Director - Software Subscription AI

GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

Lead the strategy and execution of AI solutions for subscription portfolio optimization, including predictive modeling, intelligent automation, and agentic AI for autonomous operations. This role owns the end-to-end analytics and AI lifecycle, focusing on driving digital transformation and business performance.

What you'd actually do

  1. Lead the design and delivery of analytics for subscription lifecycle KPIs including ARR/MRR, churn, retention, expansion, usage, and cohort performance.
  2. Build predictive models for churn risk, upsell propensity, usage intelligence, and renewal forecasting.
  3. Architect and implement automation solutions across subscription processes — onboarding, provisioning, renewals, invoicing, entitlements, and customer communications.
  4. Establish data standards, governance models, and unified KPI definitions for subscription analytics.
  5. Collaborate with Product, Commercial, Finance, and Customer Success teams to align analytics priorities with business goals.

Skills

Required

  • Data & Analytics
  • AI/ML
  • Digital Transformation
  • leadership experience managing cross-functional technical teams
  • software subscription or recurring revenue business models
  • advanced analytics
  • AI/ML model development
  • workflow automation
  • subscription digital thread (CRM, billing, product usage telemetry, customer success platforms)
  • cloud data platforms (e.g., AWS)
  • modern data architecture
  • scalable pipelines
  • data visualization
  • business intelligence tools
  • forecasting models
  • retention analytics
  • lifecycle value modeling
  • revenue optimization frameworks
  • data-powered decision-making in global, matrixed organizations
  • translate complex analytics into actionable business insights
  • enabling product enhancements and commercial growth through data
  • supporting pre-sales analytics demos, pilots, or customer-facing technical engagements
  • people leadership
  • talent development
  • performance management
  • building high-performing, scalable analytics organizations
  • influence senior stakeholders
  • Exceptional communication skills
  • executive presence

Nice to have

  • Master’s degree or MBA
  • AI-driven automation initiatives at enterprise scale
  • SaaS
  • healthcare technology
  • regulated industries
  • customer lifecycle orchestration
  • subscription performance optimization
  • MLOps
  • data governance
  • responsible AI frameworks
  • Lean / Agile transformation experience

What the JD emphasized

  • end-to-end owner
  • end-to-end analytics strategy
  • AI-driven automation initiatives
  • enterprise scale

Other signals

  • lead the strategy and execution of data-driven decision making
  • intelligent automation
  • business performance optimization
  • end-to-end owner of analytics, AI solutions, and workflow automation
  • predictive models for churn risk, upsell propensity, usage intelligence, and renewal forecasting
  • Integrate AI models seamlessly in Analytics
  • Leverage Agentic AI driven automation solutions through autonomous subscription operations
  • advanced AI and analytics solutions
  • AI/ML model development
  • AI-driven automation initiatives