Job Description Summary

Job Description

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 realtime visibility.

4. Stakeholder Leadership & CrossFunctional 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:
Bachelors degree in Data Science Engineering Computer Science Analytics Information Systems or related technical field.
(Masters 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.

Preferred Qualifications

• 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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

Additional Information