Top Tech Jobs & Startup Jobs in Mumbai

Owns data stewardship for agentic AI systems, including data quality rules, lineage, observability, catalogs, semantic layers, access controls, compliance, audit trails, and data management plans. Partners with AI engineers, data scientists, legal, compliance, and business stakeholders to ensure trustworthy, compliant, and usable structured and unstructured data. Supports root-cause analysis, governance automation, and monitoring of data health and AI-related data practices.

Leads indirect sourcing and procurement for corporate services and transportation categories. Responsibilities include developing category strategies, running RFI/RFP sourcing events, negotiating commercial terms, managing supplier performance, delivering cost savings, analyzing costs and ROI, and coordinating stakeholders across supply chain, finance, legal, logistics, and suppliers. The role also supports compliance, risk mitigation, innovation, and continuous improvement initiatives.

Develop advanced supply chain analytics solutions using descriptive, diagnostic, predictive, and prescriptive modeling, machine learning, statistical analysis, forecasting, and operations research. The role involves gathering requirements, leading projects, managing stakeholders, deploying and sustaining models with DevOps/MLOps practices, presenting insights, and mentoring analysts in R, Python, and supply chain analytics. The position requires working a 1:30 p.m. to 10:30 p.m. shift.

The D&T Quality Engineer II designs and executes functional, API, web, mobile, database, performance, security, and system integration testing. Responsibilities include developing test suites, applying test design techniques, supporting automation, validating REST and SOAP APIs, and working with microservices and CI/CD environments. The role uses Agile testing practices, issue tracking tools, cloud testing environments, and AI tools while collaborating across teams and mentoring others.

Analyze supply chain data, develop statistical, optimization, predictive, and prescriptive models, conduct scenario planning, and automate workflows. The role addresses planning, procurement, manufacturing, network, and end-to-end supply chain challenges while translating business objectives into analytical solutions. Responsibilities include data cleansing, trend and root-cause analysis, sensitivity analysis, and presenting actionable insights. Work is performed under supervision and requires a 1:30 p.m. to 10:30 p.m. shift.

Supports Supply Chain Finance and FP&A through forecasting, budgeting, cost analysis, reporting, variance commentary, pricing and expense consolidation, and stakeholder reporting. The role also involves distributor trade-spend forecasting, financial data validation, SAP/ERP learning, Excel-based analysis, process improvement, root-cause analysis, and maintaining accurate workpapers. It is designed for CMA students completing a 12–15-month internship or industrial training assignment.

Designs, develops, and optimizes scalable data pipelines, platforms, and models using Snowflake, dbt, Azure, and Databricks. Integrates and harmonizes multiple data sources, establishes data-quality and governance practices, applies security controls, and enables analytics and reporting. The role also translates stakeholder requirements into sustainable data solutions, optimizes performance and cost, monitors workflows, and contributes to engineering standards and continuous improvement.

Leads supply chain FP&A, forecasting, reporting, cost analysis, and business support for operating units. Partners with finance, sourcing, manufacturing, logistics, and project teams on product launches, cost savings, innovation and renovation costings, capital projects, and ad hoc analysis. Analyzes cost trends, identifies data outliers and root causes, summarizes key business drivers, supports planning processes, and drives process efficiencies and improvements.

Leads DevOps and SRE initiatives by designing scalable CI/CD frameworks, automating infrastructure and compliance, implementing DevSecOps practices, and supporting cloud platforms. Manages GitHub Actions, Jenkins, Artifactory, Vault, Kubernetes, Terraform, and GCP or Azure environments. Responsibilities include disaster recovery, system upgrades, monitoring, troubleshooting, cloud optimization, audit readiness, technical leadership, mentoring, and cross-functional collaboration.

Supports the Go to Market PMO and Holistic Margin Management community through project and portfolio administration, data validation, reporting, charter intake, tool administration, issue resolution, data migration, and system transitions. Maintains accurate OneView records, supports governance cycles, improves reporting consistency, assists users, and coordinates with project managers, PMO leaders, and cross-functional stakeholders.