Lead multiple client service delivery teams in the active execution of engagements in compliance with firm and practice unit service delivery standards
Utilize technical and industry knowledge to identify complex client issues and build long-term business relationships with key executives through engagement delivery and networking in professional organizations
Participate in business development by identifying new opportunities and assisting with proposal development
Contribute thought leadership to the development and evolution of our Enterprise Technology Solutions (ETS) methodologies and intellectual capital including publishing articles whitepapers or performing research in support of ETS initiatives
Manage and provide leadership to teams of staff level professionals and become actively involved in staff development and practice management
Act with integrity professionalism and personal responsibility to uphold KPMG s respectful and courteous work environment
Requirements
A minimum of five years of ETS or Enterprise Performance Management (EPM) related experience with a professional services advisory firm or publicly traded company; experience leading and delivering full life cycle implementation projects related to ETS and/or EPM with software vendors such as Oracle and experience with Connected Planning Comprehensive Financial Close Enterprise Data Management and other Oracle Cloud products (FCCS EPBCS ARCS etc)
Bachelors degree from an accredited college/university; MBA or MIS from an accredited college/university preferred
Experience in process reengineering designing and implementing business performance management applications including budgeting forecasting planning consolidation and reporting
Knowledge of information access and delivery methods analytics applications and tool portfolio data sourcing and integration methods such as OLAP/ROLAP/HOLAP and an understanding of data warehousing/mining ETL EII data cleansing and architecture
Experience with governance controls process and procedures centers of competency change management conceptual data modeling master data management data standardization and stewardship information integrity and compliance and data quality management
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