Job Summary
Key Responsibilities
Support transformation strategy, adoption roadmaps, and AI implementation across finance and procurement initiatives.
Partner with business, IT, and engineering teams to translate requirements into actionable solutions.
Support end-to-end transformation programs across finance and supply chain processes, including P2P, O2C, and C&C cycles.
Convert business needs into clear product and technical requirement documents.
Perform data analysis, preparation, and data modelling to support decision-making.
Support delivery across data, dashboards, testing, KPI reporting, and business insights.
Drive cross-functional alignment across procurement, finance, operations, and quality teams.
Contribute to AI/GenAI-led process improvement and digital transformation initiatives.
Support solution design and data integration with enterprise platforms and third-party tools.
Key Responsibilities
Key Responsibilities
Support transformation strategy, adoption roadmaps, and AI implementation across finance and procurement initiatives.
Partner with business, IT, and engineering teams to translate requirements into actionable solutions.
Support end-to-end transformation programs across finance and supply chain processes, including P2P, O2C, and C&C cycles.
Convert business needs into clear product and technical requirement documents.
Perform data analysis, preparation, and data modelling to support decision-making.
Support delivery across data, dashboards, testing, KPI reporting, and business insights.
Drive cross-functional alignment across procurement, finance, operations, and quality teams.
Contribute to AI/GenAI-led process improvement and digital transformation initiatives.
Support solution design and data integration with enterprise platforms and third-party tools.
Skill Requirements
Required Experience & Skills
5–7 years of experience in business analysis, digital transformation, consulting, or analytics roles.
Strong problem-solving, communication, and stakeholder management skills.
Good understanding of the AI lifecycle and practical implementation considerations.
Hands-on exposure to AI/GenAI platforms, process tools (e.g., Signavio, Visio), and analytics tools such as Power BI and Tableau.
Working knowledge of SAP is preferred; exposure to Ariba is an advantage.
Preferred Qualifications
MBA from a Tier 1 or Tier 2 institute, or an equivalent qualification, is preferred.
Certifications in AI, data, cloud, Agile, Lean Six Sigma, or procurement are a plus.