Senior Director - SaaS Analytics & AI

Senior Director - SaaS Analytics & AI

Job Description Summary

The Sr Director – SaaS Analytics & AI will lead the strategy and execution of data-driven decision making, intelligent automation, and business performance optimization across the global software and subscription portfolio. This role serves as the end-to-end owner of analytics, AI solutions, and workflow automation supporting the full subscription lifecycle — including onboarding, usage insights, renewals, retention, lifecycle value optimization, and forecasting.

Software and Subscription digital transformation is one of the key priorities for the company and as a key member of the program team, this role will drive digital thread integration across software subscriptions, deliver advanced AI and analytics solutions, and support pre-sales demos and pilots to showcase data-enabled capabilities to business partners and customers.

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 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 or commercial analytics including revenue performance analysis, customer segmentation, pricing and profitability analysis, sales effectiveness, forecasting, pipeline analytics, customer retention, and business growth strategy.
• 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 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.

Additional Information

Experience Level

Executive Level