Manager-GTS-(D&A Build) at KPMG India

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Workflow Mining, Data Mining, Solution Design, Development, Deployment, Azure SQL, ADLS Gen2, ADF Pipelines, SHIR Configuration, ETL Pipelines, CI/CD Pipelines, Databricks, Log Analytics, Monitoring, Project Management, Security Controls

Industry

Business Consulting and Services

Description

Roles & responsibilities Role Overview : The Workflow/Data Mining Solution Lead is responsible for leading the design, development, deployment, and operational stability of Workflow Mining and Data Mining solutions within the KPMG application/tool (KPMG tool Workflow) ecosystem. The role partners closely with Business SMEs, Engineering teams (Orion, Product, D&A Architecture), and external vendors to drive scalable, secure, high performing workflow analytics and mining capabilities. The professional will be responsible for: Responsibility Lead end to end solutioning for Workflow and Data Mining components within KPMG application/tool, aligning with supported architectures (PaaS/SaaS, Databricks, Synapse, ADF) Work closely with Business, Vendor team and architects to integrate workflow analytics, sampling, and financial statement modules. Own technical requirement gathering, feasibility review, solution blueprinting, and deployment planning. Ensure all solutions adhere to KPMG application/tool platform strategy, governance, and security controls. Develop and maintain Azure SQL, ADLS Gen2, ADF pipelines, and SHIR configurations. Create, optimize, and troubleshoot ETL pipelines for complex engagement datasets. Design and maintain CI/CD pipelines for KPMG application/tool data engineering assets. Monitor and optimize Databricks workloads and SQL warehouses. Gain functional expertise across Workflow Mining, Sampling, and FSB modules. Support analysis, mining logic validation, engagement data interpretation, and exception logic. Review application flows, identify improvement areas, and collaborate with design teams for enhancements. Support validation efforts leveraging workflow mining enablement from architecture documents Understanding of Log Analytics, Alerts, Monitoring setup Understanding of Security controls, vulnerability resolution Understanding of KPMG application/tool (Workflow Mining, Sampling, FSB) Familiarity with PaaS-based mining architecture Development Support - Maintaining the accurate and up to date project status for self and any assigned team member. Prepare and review required documents supporting the project with utmost attention to details. Implement and maintain monitoring dashboards using Log Analytics, alerts, KPIs, and workflow health indicators. Troubleshoot data ingestion failures, workflow errors, and performance issues. Work directly with the security team to resolve findings and ensure KPMG application/tool assets meet global security standards. On time delivery of enhancements and deployments Prepare technical documentation, runbooks, module transition guides, and enhancement proposals. Ensure that effective project control, change control, risk management and testing processes are maintained Identify automation, workflow optimization, and performance enhancement opportunities Support Proof of Concept initiatives Lead projects – Lead / participate in firm’s strategic initiatives and/or corporate social responsibility programs Experience working in leading audit firms with proven project management skills — managing teams on multiple projects in client-facing roles Drive ideas related to efficiencies, compliance and projects Sound understanding of various internal frameworks and guidelines; ensuring adherence of self and team

Responsibilities

The Workflow/Data Mining Solution Lead is responsible for leading the design, development, deployment, and operational stability of Workflow Mining and Data Mining solutions within the KPMG application/tool ecosystem. This includes owning end-to-end solutioning, technical requirement gathering, and ensuring solutions adhere to platform strategy, governance, and security controls.