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About the role
Tech Solution Lead – Workflow/Data Mining
Business Unit: GDC
Service Line: GTS
Location: Bangalore
Job title:
About us
The KPMG Global Delivery Center (KGDC) growing consistently with 3,900+ professionals is operating from five locations in India — Bengaluru, Gurugram, Hyderabad, Kochi and Kolkata. KGDC provides Audit support, Audit Technology and Risk Management services to KPMG US LLP and KPMG Canada LLP. KGDC is an integral part of the firm’s strategy to enhance innovation, build scalability and improve profitability, globally. Through your work, you’ll build a global network and unlock opportunities that you may not have thought possible with access to great support, vast resources, and an inclusive, supportive environment to help you reach your full potential.
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:
- 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.
Job Requirements
Technical Skills
Primary Skills:
- Azure SQL
- Azure Data Lake Storage (ADLS)
- Azure Data Factory (ADF)
- Self Hosted Integration Runtime (SHIR)
- Databricks (Notebooks, Jobs, SQL Warehouse)
- ETL pipeline creation, troubleshooting, and deployment
- APIs & endpoint integration
- CI/CD (Azure DevOps)
- .NET fundamentals
- Power BI (data models, composite models, dashboards)
Come as you are
As a firm, we are deeply committed to diversity, inclusion and equity at our workplace. We offer a safe and inclusive environment built on trust, where our multi-generational colleagues can bring their authentic selves to work and know that their uniqueness is valued. We foster an inclusive workplace with gender-inclusive policies and practices, parental support programs, LGBTQ+ friendly initiatives, an accessible work environment and dedicated Employee Resource Groups to promote allyship and advocacy.
As an equal opportunity employer, we encourage fair treatment of applicants and employees and do not support any form of discrimination, including but not limited to caste, religion, color, ancestry, marital status, medical condition, sex, gender identity or expression, sexual orientation, age, nationality, cultural origin, family or parental status, defense veterans, physical, mental or sensory disability or any other status or characteristic protected by applicable Indian laws and regulations.
Enabling Skills
- Excellent analytical and troubleshooting skills with the ability to diagnose complex issues across a multi-component application architecture.
- Strong communication skills and experience coordinating with multiple technical teams to resolve issues and implement changes.
- Attention to detail and good team player.
- Quick learning ability and adaptability.
- Willingness and capability to deliver within tight timelines.
- Effective communication skills.
- Flexible to work timings and willingness to work in different projects/technologies.
- Collaborate with business stakeholders and vendor to understand data requirements and deliver solutions.
Education Requirements
- B. Tech (Computer Science / Information Technology) OR
- MBA (Systems/ IT/Finance/ Data & Analytics/ SCM) along with Engineering (Computer Science, IT) OR
- MCA (Master’s in Computer Applications)
Culture
- Corporate Social Responsibility Programs
- Maternity and paternity leave
- Opportunities to network and connect
- Discounts on products and services
Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.
KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Please be informed that KPMG Global Services (KGS) and its related entities do not charge any money, fees or security deposits from its job seekers during the selection process nor it has authorized any individual or entity to charge such fees or money on its behalf. It has come to our knowledge that certain fraudulent individuals or placement agencies falsely claim to be the empaneled vendors or employees of KGS, offering misleading job opportunities in exchange for fees or security deposits. We request you to be vigilant and not respond to any individuals or entities demanding fees or charges during the selection process with KGS, as we do not charge any money or fees from anyone seeking employment with us. In case of any suspicion, we encourage you to report the incident directly to us.
http://kpmg.com/in
Document Classification: KPMG Public
© 2025 KPMG Global Delivery Center Private Limited, a company incorporated under the laws of India and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited (“KPMG International”), a private English company limited by guarantee. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.
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