Roles and Responsibilities
1. Subscription Analytics & AI
Lead the design and delivery of analytics for subscription lifecycle KPIs including ARR/MRR, churn, retention, expansion, usage, and cohort performance.
Build predictive models for churn risk, upsell propensity, usage intelligence, and renewal forecasting.
Create executive dashboards and automated reporting that support strategic decisions and portfolio reviews.
Drive customer segmentation and behavioral insights to support targeted retention and engagement strategies.
Integrate AI models seamlessly in Analytics to provide required insights for target persona.
2. Subscription Process Automation & Optimization
Architect and implement automation solutions across subscription processes — onboarding, provisioning, renewals, invoicing, entitlements, and customer communications.
Identify high-value automation opportunities using process intelligence and workflow analysis.
Partner with IT and platform teams to deliver scalable automation using appropriate technical solutions.
Reduce manual effort and cycle times while improving accuracy and compliance.
Leverage Agentic AI driven automation solutions through autonomous subscription operations.
3. Data Strategy & Governance
Establish data standards, governance models, and unified KPI definitions for subscription analytics.
Ensure data quality and consistency across CRM, billing, ERP, and product usage platforms.
Partner with engineering to improve data pipelines and architecture supporting real‑time visibility.
4. Stakeholder Leadership & Cross‑Functional Collaboration
Collaborate with Product, Commercial, Finance, and Customer Success teams to align analytics priorities with business goals.
Translate complex analytics into clear business narratives and actions for leadership.
Lead business reviews focusing on growth levers, retention drivers, and operational performance.
5. Continuous Improvement & Innovation
Stay current on emerging AI and analytics technologies, automation tools, and subscription business best practices.
Drive a culture of data literacy and digital-first thinking across teams.
Introduce new models, dashboards, and automation that improve operational efficiency and customer outcomes.
Education Qualification
Education:
Bachelor’s degree in Data Science, Engineering, Computer Science, Analytics, Information Systems, or related technical field.
(Master’s degree or MBA preferred.)
Experience:
Extensive experience in Data & Analytics, AI/ML, or Digital Transformation roles
Deep leadership experience managing cross-functional technical teams (Data Scientists, Analysts, Engineers, Architects)
Proven experience in software subscription or recurring revenue business models
Demonstrated ownership of end-to-end analytics strategy across commercial or product lifecycle domains
Technical Expertise:
Deep expertise in advanced analytics, AI/ML model development, and workflow automation
Strong understanding of subscription digital thread (CRM, billing, product usage telemetry, customer success platforms)
Experience with cloud data platforms (e.g., AWS), modern data architecture, and scalable pipelines
Proficiency in data visualization and business intelligence tools
Familiarity with forecasting models, retention analytics, lifecycle value modeling, and revenue optimization frameworks
Business & Strategic Acumen:
Experience driving data-powered decision-making in global, matrixed organizations
Ability to translate complex analytics into actionable business insights for executive stakeholders
Proven track record enabling product enhancements and commercial growth through data
Experience supporting pre-sales analytics demos, pilots, or customer-facing technical engagements
Leadership & Influence:
Strong people leadership with a focus on talent development and performance management
Experience building high-performing, scalable analytics organizations
Ability to influence senior stakeholders across Product, Operations, and Customer Success
Exceptional communication skills with executive presence
Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice.
• Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate.
• Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives.
Experience leading AI-driven automation initiatives at enterprise scale
Passionate about driving change and influence across the enterprise
Demonstrated ability to lead in a highly matrixed environment
Background in SaaS, healthcare technology, or regulated industries
Experience with customer lifecycle orchestration and subscription performance optimization
Knowledge of MLOps, data governance, and responsible AI frameworks
Lean / Agile transformation experience
Inclusion and Diversity
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.
Relocation Assistance Provided: No