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Senior Manager - Data Analytics Lead - UK WIDE

Date: Jul 31, 2021

Location: Birmingham, United Kingdom

Company: KPMG UK

The role can be based in anyone of our major UK regional offices (Birmingham, Leeds, Manchester, Bristol, Cardiff)

The Role:
The role is within the UK Infrastructure Government and Healthcare (IGH) Data Analytics team. We provide a wide range of data analytics, modelling, data modelling services to our clients in a diverse range of sectors such as health, transport, policing, local and central government

Our services include:
Data Modelling and Analytics
• Interactive data visualisation, presentation and reporting
• Dashboard development, publishing and maintenance
• Advanced analytics including exploiting modern data science techniques like machine learning and applied statistics to extract valuable data driven insights
• Cloud-enabled analytical services
• Requirements gathering and stakeholder engagement
• Agile analytics project management and delivery
• Development and delivery of training in visual analytics solutions

Data analytics strategy design and implementation
• Developing and delivering data strategy, data operating model, data governance or data maturity programmes for public sector clients
• Supporting the implementation of data strategy and digital transformation programmes and initiatives

Business and data modelling
• Data blending and database development
• Cost benefit analysis and financial modelling
• Modelling the impacts of business change, including options analysis, cost optimisation, outsourcing and other operational and financial restructuring
• Transaction modelling (mergers and acquisitions, buyouts, refinancing, bids and bid defence)
• Management and KPI reporting solutions
• Model build and assurance

We work closely with teams across all functions within KPMG, such as Operational Transformation, Transaction Services, Corporate Finance, Restructuring and others. We work on some of the most exciting projects in KPMG, delivering high-quality, flexible and bespoke analytics and modelling solutions for our clients.

We are looking for a Senior Manager to help lead our rapidly-growing team with strong technical expertise in data visualisation, analytics, and data modelling. The individual should have a proven track record in leading data analytics programmes and projects with exceptional communication and presentation skills.

They will lead multiple projects in the following areas:
• Interactive data visualisation, presentation and reporting
• Dashboard development, publishing and maintenance
• Data strategy design, development and implementation
• Cloud-enabled analytical services
• Requirements gathering and stakeholder engagement
• Rapid proof of concept development
• Cost benefit analysis and financial modelling
• Development and delivery of training for visual analytic solutions
• ETL, data blending and database development
• Relational and star schema data modelling

You will be responsible for leading projects and programmes, coordinating project teams to deliver client outcomes. You will provide technical analytics and relevant market/sector expertise to help grow our IGH Data Analytics offerings across the UK. You will also contribute to the successful delivery of other KPMG services in IGH while helping us to grow core set of analytics services covering analytics solutions, products and managed services, as well as leading data strategy design and development.

You will build service offerings and take them to market, leading business development including managing bids and proposals and contributing to the development of KPMG’s services through knowledge management and methodology design.
You will also play a leading role in generating sales and leading successful delivery of engagements, taking primary responsibility for the quality of our work and client relationships.
You will manage teams of KPMG professionals on and off engagements, providing leadership and coaching to ensure excellent client delivery.

This role offers the candidate the opportunity to develop and share their extensive knowledge and experience of sophisticated data management and visual analytics techniques, as well as developing client-facing, project management and consulting skills.


Essential requirements
• Experience in leading complex programmes of work, and engaging with senior stakeholders
• Significant analytics and consultancy experience
• A strong understanding of and experience supporting the business development process, including: responding to request for proposals and formally pitching for work
• A proven track record of delivering complex analytical products
• Data modelling (SQL, Access) and/or visualisation experience (PowerBi, QlikView, Tableau)
• Data strategy and data governance experience
• Experience in sales including a track record of supporting revenue growth
• Experience in performance management and developing and retaining talent,
• Experience in leading multiple analytics/modelling and or data strategy engagements simultaneously
• Experience in building and maintaining strong client relationships
• Ability to describe complex technical issues in a clear and non-technical way
• A strong understanding of analytics, decision science, and strategy concepts
• Knowledge of analytics services, products, and key concepts
• Positive approach towards problem solving under pressure, including the ability to think through a problem and apply a logical, analytical approach to develop a solution

Desirable requirements
• A professional qualification (e.g. Microsoft SQL Certified Professional)
• A good understanding of public sector data, including experience in at least one of the following sectors: Healthcare, Local or Central Government, Transport, Policing, or Education
• Working knowledge and experience with Tableau

Ideally the candidate will have experience delivering analytics using on-premise and cloud-based technologies, including the following:

• Understanding of cloud computing technologies, business drivers, and emerging computing trends
• Understanding of data solutions that leverage technology like Microsoft Azure and or SQL, Google Cloud or AWS
• Experience in migrating on premise workloads to the cloud
• Experience in architecting and developing cloud-based solutions
• Experience of applying statistical and machine learning techniques and cloud-based machine learning tools like Azure Machine Learning

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