Manager - Technology Assurance and Data Analytics

Manager - GTS - Tech Assurance Application Owner

 Roles & responsibilities 
Being a part of KPMG Product Business Partnering team, the candidate will be part of design & develop and deployment of  various solutions in the Data & Analytics
As D&A manager, Oversee and coordinate multiple projects at once, for better project management. Working with cross-functional teams, stakeholders to deliver results on time and within scope with high quality
Understand the tech stack of the product. Work closely with technical team covering SDLC phases including deployment and integration of data and analytic solutions into KCw Workbench
Must possess strong critical thinking abilities, enabling them to analyze complex problems, evaluate potential solutions, and make informed decisions
Open to learn different tools and technologies related to KPMG Audit Data & Analytics, especially DataBricks, PySpark
Ability to work effectively with various stakeholders, demonstrating excellent teamwork and communication skills to ensure cross collaboration across member firms
Understanding of industry best practices about business analysis and solution ownership, with keen ability to gather and synthesize information comprehensively, ensuring that all relevant data is considered in decision-making processes
Strong ability to use technology continually learn, share knowledge with team members, and enhance service delivery
Contribute to technical and soft-skills training to continually develop the team's skills on industry specific areas of work
Ensure effective project control, change control, risk management and testing processes are maintained
Lead / participate in firm’s strategic initiatives and/or corporate social responsibility programs
Drive ideas related to efficiencies, compliance and projects 
Sound understanding of various internal frameworks and guidelines; ensuring adherence of self and team

 

 Roles & responsibilities 
Being a part of KPMG Product Business Partnering team, the candidate will be part of design & develop and deployment of  various solutions in the Data & Analytics
As D&A manager, Oversee and coordinate multiple projects at once, for better project management. Working with cross-functional teams, stakeholders to deliver results on time and within scope with high quality
Understand the tech stack of the product. Work closely with technical team covering SDLC phases including deployment and integration of data and analytic solutions into KCw Workbench
Must possess strong critical thinking abilities, enabling them to analyze complex problems, evaluate potential solutions, and make informed decisions
Open to learn different tools and technologies related to KPMG Audit Data & Analytics, especially DataBricks, PySpark
Ability to work effectively with various stakeholders, demonstrating excellent teamwork and communication skills to ensure cross collaboration across member firms
Understanding of industry best practices about business analysis and solution ownership, with keen ability to gather and synthesize information comprehensively, ensuring that all relevant data is considered in decision-making processes
Strong ability to use technology continually learn, share knowledge with team members, and enhance service delivery
Contribute to technical and soft-skills training to continually develop the team's skills on industry specific areas of work
Ensure effective project control, change control, risk management and testing processes are maintained
Lead / participate in firm’s strategic initiatives and/or corporate social responsibility programs
Drive ideas related to efficiencies, compliance and projects 
Sound understanding of various internal frameworks and guidelines; ensuring adherence of self and team

Mandatory  technical & functional skills
Understanding of KCw Workflow/similar Cloud based audit platforms and how engagement teams document their D&A activity 
Understanding of Software Development Life Cycle (SDLC) and agile methodology 
Ability to handle big data using various technologies like Data Bricks, Pyspark, work experience on Cloud,  Prior work experience on integrations with multiple systems. 
AI integrated platforms, demonstrating proficiency in utilizing and understanding such tool.
Proficiency in Audit and accounting for various industries and risk assessment procedures. 

 This role is for you if you have  the below
Educational qualifications 
B.Tech, MCA, MBA with audit analytics experience/ D&A product management experience

Work experience
8-10 years of  relevant work experience

 

Experience Level

Mid Level