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Manager - Advanced Analytics

Job Purpose

  • Lead, plan, direct and control all activities related to setting up a Data and Analytics capability in KPMG’s Management Consulting practice (MC)
  • Ensure MC has relevant local thought leadership and a practical, capable delivery competence in the area of Data and Analytics

Key Responsibilities

  • Interact with business leaders and functional experts to understand current and future business challenges and needs and develop long lasting client relationships
  • Assess, capture, and translate complex business issues and requirements into structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
  • Proactively broaden and deepen client and internal relationships by working with senior-level clients and senior-level KPMG advisory colleagues. 
  • Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
  • Lead multiple client and innovation analytics projects of different varieties including strategy, advanced modeling, providing full oversight of engagement structure, team management, and deliverables for teams comprising data science, artificial intelligence, and visualization experts
  • Lead the design and development of tools and technology, working with data scientists, data integration teams and visualization experts to deliver analysis that fits the needs
  • Track, communicate, and manage project risks, budget, rates, profitability, and launch/closeout activities, including the administration of work papers and collaboration sites
  • Help build and grow the team through recruiting, coaching and mentoring team members and sharing knowledge and experiences

Subject Matter Knowledge

  • Knowledge and experience with all areas of Data and Analytics, from Data Engineering, to Data Management, to Data Modelling, to Data Analytics, to Data Visualisation
  • Awareness and understanding of trends and best practices in the field of Data and Analytics and the technologies and tools that enable them (e.g. Internet of Things, Artificial Intelligence, Deep learning...), and how they are shaping business and society
  • Understanding of the key Regulatory codes that are impacting Data, Privacy and Security
  • Strong experience in crafting Data and Analytics Strategies, Operating Models, and Architectures
  • Strong opinions, backed by experience, in the value of Data to organisations and how it can improve the competitive agility of business
  • Proficiency with directing use of sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript.

Qualifications, Skills and Experience

  • Minimum of six years of data analytics and management experience with a professional services firm, an internal strategy/analytics group, or similar environment 
  • Master’s degree in a technical or quantitative field with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing.
  • Demonstrated analytics solution design and build expertise, project and team management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue model
  • Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources
  • Fluent communication and facilitation skills in English required.
  • Excellent interpersonal skills and change management mindset. Experience in organizational change management is a plus

Key Result Areas

  • Developing strong relationships with key clients around the topics of Data and Analytics
  • Building a network with key stakeholders across KPMG Global to draw on from a content and thought leadership perspective, as well as for filling local capacity and capability gaps when identified
  • Creating local thought leadership for Data and Analytics
  • Developing a local delivery capability for Data and Analytics to support other MC engagements initially, with a view to building a pipeline of Data and Analytics work over time

 

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