Senior Manager, Enterprise Performance Management

Motivate your team and foster an inclusive culture.,Provide day-to-day guidance and actionable coaching to the team, managing, mentoring, and training junior team members.,Manage overall engagement planning and delivery, including engagement economics.,Manage multiple and/or large-scale client projects, ensuring on-time, on-budget delivery of quality work.,Identify business development opportunities and contribute to proposal development.,Lead pursuits aligned to client issues.,Manage Finance Transformation projects with a specific focus on end-to-end EPM functional transformation and technology implementations.,Provide leadership, direction, and guidance to senior-level client stakeholders as an EPM subject matter specialist.,Help organizations manage risks and improve performance by managing projects across each phase of the implementation life cycle.,Work with senior KPMG leaders to enhance and integrate service offerings.,Develop relationships and partnerships with other KPMG Offices.

Minimum 7-9 years of EPM related experience with a professional services advisory firm.,Experience leading and delivering full life cycle implementation projects related to EPM with software vendors such as Oracle, Adaptive Insights, Workday, OneStream, Anaplan, and Tagetik.,Experience working in a client-facing role across a variety of industries and businesses.,Strong mix of business and functional knowledge related to EPM processes.,Proven ability to communicate business requirements and understand the implications on the functional design.,Experienced in process reengineering, designing and implementing business performance management applications including budgeting, forecasting, planning, consolidation, and reporting.,Experienced 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.,Strong knowledge of information access and delivery methods, analytics applications and tools, data sourcing and integration methods such as OLAP / ROLAP / HOLAP and an understanding of data warehousing/mining, ETL, EII, data cleansing, and architecture.