Overview:
At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.
Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?
Our Technology, Strategy & Transformation team is looking for a professional like you with the skills and drive to make a real difference.
What you will do:
The successful candidate will lead various projects in digital transformation initiatives including ERP modernization, data modernization, AI/GenAI use case deployments, data and information management/governance, information process and flow mapping, data/report migration, data optimization, data classification, development and implementation of master data or metadata management programs, and/or multidisciplinary team participating in digital transformation projects.

The successful candidate will have a range of responsibilities, including:

• Work with technology solution teams to identify and lead technology implementations
• Identifying and leading the preparation of proposals, in collaboration with the Partner
• Planning and managing engagements under the key team members of the Partner
• Creating relationships with clients and their teams
• Leading client meetings and supporting the team in developing presentation materials for project kick-off meetings, requirements gathering, project management, presentation of results, etc
• Leading current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks
• Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling
• Supporting and guiding clients in implementing recommendations
• Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc
• Delivering high-quality work on time that meets the Firm’s quality standards and client expectations
• Working with cross-functional teams with people of diverse backgrounds and skill sets
• Applying best practice and process maturity knowledge observed in client engagements and personal research
• Some travel may be required

What you bring to this role:

• 10+ years of relevant professional experience in data architecture, data/information management, analytics and/or data engineering
• Experience with ERP implementation or ERP project management
• Program and project management using Agile methodologies
• Experience classifying, defining or profiling data
• Deep understanding of data and heavy industry business processes
• Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM
• Experience and/or certification with data and Information Platforms such as Microsoft Azure/Fabric, AWS, Databricks, Snowflake etc
• Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset
• University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related field

The successful candidate will have a range of responsibilities, including:

• Work with technology solution teams to identify and lead technology implementations
• Identifying and leading the preparation of proposals, in collaboration with the Partner
• Planning and managing engagements under the key team members of the Partner
• Creating relationships with clients and their teams
• Leading client meetings and supporting the team in developing presentation materials for project kick-off meetings, requirements gathering, project management, presentation of results, etc
• Leading current state assessments and maturity analysis based on best practices, industry trends and KPMG’s various data and information governance, data management and analytics maturity frameworks
• Supporting the implementation of roadmaps, data management strategies, process and data flow mapping, data quality management programs, governance frameworks, business cases, cost/benefit analyses and deliverables related to the implementation of recommendations, such as policy writing, data classification or profiling
• Supporting and guiding clients in implementing recommendations
• Assisting with business and practice development efforts by preparing proposals, marketing material, internal and external presentations, seminar materials, articles, etc
• Delivering high-quality work on time that meets the Firm’s quality standards and client expectations
• Working with cross-functional teams with people of diverse backgrounds and skill sets
• Applying best practice and process maturity knowledge observed in client engagements and personal research
• Some travel may be require

What you bring to this role:

• 10+ years of relevant professional experience in data architecture, data/information management, analytics and/or data engineering
• Experience with ERP implementation or ERP project management
• Program and project management using Agile methodologies
• Experience classifying, defining or profiling data
• Deep understanding of data and heavy industry business processes
• Knowledge of governance and data management standards, such as DAMA-DMBOK, CMMI and DCAM
• Experience and/or certification with data and Information Platforms such as Microsoft Azure/Fabric, AWS, Databricks, Snowflake etc
• Business analysis, requirements gathering and processing mapping experience, including information management process narratives, workflows, information flows, controls and business case development, an asset
• University degree in computer science, business intelligence, data analytics, data science, information architecture, information sciences, management information systems or another related fiel