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Proposed designation:
Solution Lead
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Role type:
Solution Lead Workflow/Data Mining
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Reporting to :
Associate
Director /Director
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Geo to be supported :
US
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Work timings / Location
11:00 AM to 8:00 PM/ Bangalore or Hyderabad
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
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Lead end to end solutioning for Workflow and Data Mining components within
KPMG application/tool, aligning with supported architectures (PaaS/SaaS,
Databricks, Synapse, ADF)
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Work closely with Business, Vendor team and architects to integrate
workflow analytics, sampling, and financial statement modules.
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Own technical requirement gathering, feasibility review, solution
blueprinting, and deployment planning.
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Ensure all solutions adhere to KPMG application/tool platform strategy,
governance, and security controls.
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Develop and maintain Azure SQL, ADLS Gen2, ADF pipelines, and SHIR
configurations.
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Create, optimize, and troubleshoot ETL pipelines for complex engagement
datasets.
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Design and maintain CI/CD pipelines for KPMG application/tool data
engineering assets.
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Monitor and optimize Databricks workloads and SQL warehouses.
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Gain functional expertise across Workflow Mining, Sampling, and FSB
modules.
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Support analysis, mining logic validation, engagement data interpretation,
and exception logic.
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Review application flows, identify improvement areas, and collaborate with
design teams for enhancements.
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Support validation efforts leveraging workflow mining enablement from
architecture documents
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Understanding of Log Analytics, Alerts, Monitoring setup
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Understanding of Security controls, vulnerability resolution
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Understanding of KPMG application/tool (Workflow Mining, Sampling, FSB)
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Familiarity with PaaS-based mining architecture
Development Support -
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Maintaining the accurate and up to date project status for self and any
assigned team member.
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Prepare and review required documents supporting the project with utmost
attention to details.
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Implement and maintain monitoring dashboards using Log Analytics, alerts,
KPIs, and workflow health indicators.
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Troubleshoot data ingestion failures, workflow errors, and performance
issues.
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Work directly with the security team to resolve findings and ensure KPMG
application/tool assets meet global security standards.
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On time delivery of enhancements and deployments
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Prepare technical documentation, runbooks, module transition guides, and
enhancement proposals.
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Ensure that effective project control, change control, risk management and
testing processes are maintained
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Identify automation, workflow optimization, and performance enhancement
opportunities
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Support Proof of Concept initiatives
Lead projects –
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Lead / participate in firm’s strategic initiatives and/or corporate social
responsibility programs
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Experience working in leading audit firms with proven project management
skills — managing teams on multiple projects in client-facing roles
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Drive ideas related to efficiencies, compliance and projects
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Sound understanding of various internal frameworks and guidelines;
ensuring adherence of self and team
Technical Skills
Primary Skills:
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Azure SQL
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Azure Data Lake Storage (ADLS)
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Azure Data Factory (ADF)
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Self Hosted Integration Runtime (SHIR)
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Databricks (Notebooks, Jobs, SQL Warehouse)
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ETL pipeline creation, troubleshooting, and deployment
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APIs & endpoint integration
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CI/CD (Azure DevOps)
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.NET fundamentals
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Power BI (data models, composite models, dashboards)
Enabling Skills
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Excellent analytical and troubleshooting skills with the ability to
diagnose complex issues across a multi-component application architecture.
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Strong communication skills and experience coordinating with multiple
technical teams to resolve issues and implement changes.
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Attention to detail and good team player
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Quick learning ability and adaptability
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Willingness and capability to deliver within tight timelines
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Effective communication skills
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Flexible to work timings and willingness to work in different
projects/technologies
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Collaborate with business stakeholders and vendor to understand data
requirements and deliver solutions
Education Requirements
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B. Tech (Computer Science / Information Technology) OR
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MBA (Systems/ IT/Finance/ Data & Analytics/ SCM) along with
Engineering (Computer Science, IT) OR
MCA (Master’s in Computer Applications