Business Strategy/Analyst - Advance AI

The Business Strategy/Analyst plays a pivotal role within the Industry AI Solutions in CTO organization, driving the development and deployment of GenAI-powered solutions through techno-functional expertise. This role requires a strong analytical mindset, proficiency in financial and market data interpretation, and the ability to translate insights into actionable task. Will work closely with engineering, product, and ecosystem teams to shape scalable GenAI applications tailored to industry-specific challenges.
Key Responsibilities
Collaborate with engineering and product teams to define and validate use cases.
Develop techno-functional business cases that quantify value drivers and ROI for GenAI initiatives.
Create strategic POVs and technical documentation to support internal decision-making and stakeholder alignment.
Conduct in-depth analysis of customer financials and industry data to inform GenAI solution design.
Maintain a centralized knowledge base of GenAI research, validation outcomes, and competitive intelligence.
Qualifications
Understanding of GenAI models and their application in business contexts.
Business Analyst with 8+ years of experience, including a minimum of 1–2 years working with Generative AI.
Experience in commercial construct, product road map design, market analysis, and technical documentation.
Ability to collaborate with cross-functional teams including engineering, product, and strategy.
Proficiency in synthesizing complex data into clear, actionable insights.
Experience with tools and platforms used in GenAI development and deployment.
Expected Impact
Enable the CTO organization to make data-driven decisions on GenAI investments and priorities.
Accelerate the validation and deployment of GenAI solutions through structured analysis and planning.
Enhance cross-functional collaboration by bridging technical and business perspectives.
Drive innovation by identifying high-impact GenAI opportunities across industries.
Support long-term strategic planning with robust techno-functional insights.

Work arrangement
No