Data & Analytics Product Manager

Manager - GTS - Data & Analytics Product Team Member

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.
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.
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 Software Development Life Cycle (SDLC) and agile methodology 
Understanding of KCw Workflow/similar Cloud based audit platforms and how engagement teams document their D&A activity

 This role is for you if you have  the below
Educational qualifications 
Qualified Chartered Accountant with technical expertise

Work experience
5-8 years of experience years post qualification
3 years of articleship experience mandatory

 

 

Experience Level

Mid Level