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KPMG US

Associate Director, Business Intelligence (Global Business Svcs)

KPMG US, Milwaukee, Wisconsin, United States, 53244

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Overview

Associate Director, Business Intelligence to join the Global Business Services organization at KPMG. The role focuses on leading the development and execution of the data strategy, data quality, and the creation of a client-facing, self-service Insights Engine. Responsibilities

Apply advanced knowledge of business intelligence to lead development and execution of GBS's data strategy, including unification of Delivery Center data infrastructures and processes for integrity, consistency, and compliance. Lead assessment and remediation of GBS data quality and maturity of data availability; contribute to tactical plans and monitor progress with a focus on execution of work product and tactical planning. Lead programs, projects or processes autonomously; make decisions and identify nuanced situations requiring consultation with senior leaders; lead creation and evolution of a GBS Insights Engine to house operational, financial, and workforce data, transforming it into a client-facing, self-service tool. Lead identification of data metrics, KPIs, and KPOs for GBS reporting; oversee development of visualizations to ensure data is easy to consume and visualizations align with best practices; partner with key stakeholders to gather feedback and requirements; create and maintain a backlog of requests. Lead “so what” analysis of data to guide GBS, Delivery Center, and Client leadership; provide focus areas, how to translate insights into action, and build executive presentations including strategic insights; equip Account Management, Service Management, and CI Leaders with compelling data for QBRs, client conversations, and transformation roadmaps. Oversee a team of data engineers, analysts, and dashboard developers; provide active coaching, mentoring and knowledge-sharing with junior staff to advance career development; manage and review team members' work product. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications

Minimum eight years of experience in automation, artificial intelligence, and enterprise technology implementations or more than five years in consulting, complex transformation projects, preferably in a Fortune 500 environment; experience in technology and innovation and in the consulting industry (Big 4 preferred); prior experience leading technology initiatives. Bachelor's degree from an accredited college/university. Experience leading data strategy, performance reporting and strategic insights across a global business services environment; ability to lead data strategy and infrastructure initiatives across complex delivery environments; ability to manage multiple concurrent projects and make concrete decisions. Strong experience in performance reporting, dashboard development, and data visualization; ability to translate data into strategic insights and executive-level presentations. Experience managing cross-functional teams and driving professional development. Excellent verbal and written communication, collaboration, analytical and presentation skills; ability to set goals, participate in strategic initiatives, foster high-performance teams, and interface with all levels of the organization. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. No visa sponsorship is available for this role. Equal Opportunity

KPMG LLP and its affiliates comply with all applicable federal, state, and local equal employment opportunity laws. KPMG is an equal opportunity employer. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other protected category. Note

Follow local recruiting processes for salary ranges. This posting may include location-specific information. KPMG recruits on a rolling basis.

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