Top Tech Jobs & Startup Jobs

The role involves leading IT Audit and Controls Assurance projects, managing teams, ensuring project profitability and quality, and developing engagement work programs for client audits.

KPMG India seeks a Senior AI/ML professional to provide technology-enabled services across various sectors, leveraging their expertise in AI and ML.

The role involves leveraging Python and SQL for analytics purposes within KPMG, serving clients across various sectors.

The role involves drafting, reviewing, and negotiating contracts, collaborating with stakeholders, assessing risk, and ensuring compliance with legal frameworks.

The role involves advanced work in AI and machine learning, focusing on data science responsibilities within KPMG, catering to various sectors.

Lead end-to-end SAP sales cycles, build CXO relationships, define go-to-market strategies, manage RFPs and proposals, mentor BD team members, and achieve revenue, pipeline, and margin targets across SAP solutions.

Perform IT audit engagements including testing IT application controls (ITAC), IT general controls (ITGC), code reviews, and interface controls. Conduct risk assessments, document process flows and RCMs, execute SOX/SOC/Internal audits, and prepare policies/SOPs. Coordinate with engagement managers and client teams and maintain audit deliverables and progress reporting.

The position at KPMG involves utilizing Generative AI technology to deliver services to both national and international clients, leveraging KPMG's extensive industry knowledge.

Senior Pega developer responsible for designing, developing, configuring, and maintaining Pega BPM applications. Collaborate with stakeholders to translate business requirements into technical solutions, integrate with external systems, perform performance tuning, and mentor junior developers.

The Senior Business Analyst will analyze and resolve data quality issues, coordinate with data teams, document business requirements, and implement data governance frameworks to improve business productivity and data management processes.