CXO Value Economics Analyst in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a CXO Value Economics Analyst based in India.

This role focuses on building and scaling the analytical infrastructure behind value economics programs that help customers make informed technology investment decisions.
The position sits at the intersection of data, AI, analytics, and business strategy, transforming complex information into clear value narratives.
You will partner with sales, engineering, product, and business teams to create impactful ROI analyses and customer-facing business cases.
The role offers the opportunity to shape AI-powered models, improve data governance, and support scalable business value creation.
You will contribute to a high-impact transformation environment where analytical insights directly influence customer outcomes and revenue growth.
This position is ideal for someone who enjoys combining technical expertise with strategic thinking and executive communication.

The CXO Value Economics Analyst will be responsible for developing data-driven frameworks, supporting business value initiatives, and enabling teams to communicate measurable customer impact. The role requires strong analytical thinking, cross-functional collaboration, and the ability to translate technical data into actionable business insights.

• Partner with sales account executives and technical teams to drive value economics adoption across small and mid-market opportunities.
• Develop business case presentations, ROI analyses, and value assessments that help customers understand the impact of technology investments.
• Transform complex datasets into clear benefit narratives and executive-ready insights.
• Establish governance frameworks for data quality, model accuracy, access controls, and auditability.
• Facilitate discussions with internal teams to identify and quantify customer value drivers.
• Prioritize opportunities based on value creation potential, business impact, and strategic importance.
• Track and report realized business outcomes, connecting initial business cases with delivered results.
• Support the development and improvement of AI models, analytics workflows, and data infrastructure.
• Collaborate with data, AI, IT, product, and commercial teams to align solutions with customer and business needs.

The ideal candidate brings a combination of analytical expertise, technical understanding, and strong communication skills. They should be comfortable working across business and technical teams while applying data-driven approaches to solve complex problems.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or another quantitative discipline.
• Around 1 year of experience in AI/ML infrastructure, data engineering, analytics, or related technical roles.
• Experience building and scaling data pipelines with knowledge of data governance, quality management, and model validation practices.
• Familiarity with LLM-based tools, AI platforms, and emerging technologies, with the ability to assess their practical application.
• Strong analytical skills and the ability to convert complex information into clear business recommendations.
• Experience with ROI analysis, value consulting, business-case development, or similar analytical activities is a plus.
• Strong collaboration skills with experience working across sales, engineering, product, and business functions.
• Excellent written and verbal communication skills, with the ability to present technical concepts to both technical and executive audiences.
• Exposure to cybersecurity, data protection, infrastructure resilience, or enterprise technology environments is advantageous.
• Ability to work remotely with working hours aligned to 2 PM – 11 PM IST.

• Remote work opportunity with flexible working arrangements.
• Opportunity to work on AI-driven transformation initiatives and innovative technology solutions.
• Exposure to strategic business projects with global impact.
• Collaborative environment working with cross-functional and international teams.
• Opportunities for professional growth and continuous learning.
• Chance to develop expertise across AI, analytics, business strategy, and enterprise technology.
• Inclusive workplace culture focused on equal opportunities and employee development.