Senior Director SaaS Analytics AI

Job description

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.

1. 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.

1. 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.

1. 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.

1. 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

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,