Bengaluru, Karnātaka, India
Live, first seen by us 52 days agoBuild predictive models for churn risk, upsell propensity and renewal forecasting
Architect and implement automation across onboarding, renewals, invoicing and entitlements
Establish data standards, governance and unified KPI definitions
Ensure data quality across CRM, billing, ERP and product usage platforms
Create executive dashboards and automated reporting for portfolio reviews
Build predictive models for churn risk, upsell propensity, usage intelligence, and renewal forecasting.
Architect and implement automation solutions across subscription processes — onboarding, provisioning, renewals, invoicing, entitlements, and customer communications.
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.
Create executive dashboards and automated reporting that support strategic decisions and portfolio reviews.
Deep leadership experience managing cross-functional technical teams (Data Scientists, Analysts, Engineers, Architects)
Deep expertise in advanced analytics, AI/ML model development, and workflow automation
Experience driving data-powered decision-making in global, matrixed organizations
Experience building high-performing, scalable analytics organizations
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.
Strong understanding of subscription digital thread (CRM, billing, product usage telemetry, customer success platforms)
Experience leading AI-driven automation initiatives at enterprise scale
Demonstrated ability to lead in a highly matrixed environment
Experience with customer lifecycle orchestration and subscription performance optimization
Knowledge of MLOps, data governance, and responsible AI frameworks
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:
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Day 52
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At GE Healthcare, jobs usually come down by about day 35.
From 9,462 similar postings that came down, and 49 of GE Healthcare’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Roles and Responsibilities
1. Subscription Analytics & AI
2. Subscription Process Automation & Optimization
3. Data Strategy & Governance
4. Stakeholder Leadership & Cross‑Functional Collaboration
5. Continuous Improvement & Innovation
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:
Technical Expertise:
Business & Strategic Acumen:
Leadership & Influence:
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
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Bengaluru, Karnātaka, India
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