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Deals - Data Discovery Manager
Premium Job From PwC
Recruiter: PwC
Listed on: 6th March
Location: London
Salary Notes: Competitive
Type: Permanent
Start Date:
Reference: 32828BR_expired
Contact Name: PwC Recruitment Team

This job has now expired please search on the home page to find live IT Jobs.

A career in our Investigative Analytics practice, within Forensics Technology services, will provide you with the opportunity to help our clients protect their business in today's evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests and internal investigations.

Our team helps design and build investigation support systems for our clients that work with, review, and provide insights of the data under investigation without the need for complex data analysis skills and without the risk of damaging the underlying evidence.

About the team

The Know Your Data team is a growing team within Digital & Forensic Investigations at PwC. We use data discovery technology to analyse file servers, endpoints (such as laptops and desktops) and other data repositories to help clients know what data they have, where it is, and who can access it. Our client offerings focus around three key areas helping clients comply with regulation such as GDPR by ensuring personally identifiable information is stored securely and not for longer than is necessary, ensuring that intellectual property is not stored in areas or on devices where it should not be, and, finally, helping clients reduce the data they store which is out of compliance with their retention policy. Once we find non-compliant data we then help clients remediate it in order to reduce their risks.

Requirements

You will have an understanding of file systems and/or computers and will be experienced in using technology to analyse file metadata and content. You will be in a client facing role which is partly technical and partly business consulting. You will manage members of our team and engage directly with our clients' teams, solving their business problems by using data discovery technology to help them understand where their data is, who has access to it, and what it contains. You will help clients understand the risks that data poses at a file level to them and how we as a team can help them identify and mitigate those risks.

You will manage the design and development of data discovery/search rules (including regular expressions) and machine learning algorithms for clients, working with cutting-edge software to help them understand their risks and to solve their problems, and developing end to end data discovery workflows that meet their needs through the use of technology and bespoke business processes.

To be considered you must have a minimum of a 2 1 degree in technical subject, and have a demonstrated track record in analysing and resolving business and data issues.

You will need to demonstrate the following

  • Understanding of different computer systems and how data is stored.
  • Exceptional management, analytical and technical aptitude, and a passion for solving real-world problems.
  • Experience of managing projects and a variety of stakeholders, both technical and non-technical.
  • Agile, curious attitude, to help with remaining up to speed with the latest technologies, data discovery approaches, and business challenges.
  • A proven track record in helping modern businesses manage their data.
  • The ability to manage people, including their time and priorities, to review their work and to oversee the production of high-quality deliverables.
  • Familiarity with typical components of modern business IT networks, including the Cloud (e.g. AWS, Azure, Office 365, etc) and document management systems (such as Sharepoint).

Technical skills

  • Technical experience with the following
  • Experience of using file analysis software designed to scan, profile and manage structured and unstructured data stores such as Nuix, Varonis, Ground Labs, Automated Intelligence, BigID or similar.
  • Understanding and writing regular expressions
  • Data query and programming languages, such as SQL and Python.
  • Data visualisation skills, using tools such as Power BI, Tableau, Qlickview, R, Excel.

Knowledge in the following area is also desirable

  • Knowledge of data protection legislation such as EU General Data Protection Regulation (GDPR), or other business regulations with data management aspects.
  • Text mining and information extraction skills

About PwC

We're one of the world's leading professional services organisations. From 158 countries, we help our clients, some of the most successful organisations on the globe, as well as its most dynamic entrepreneurs and thriving private businesses, to create the value they want. We help to measure, protect and enhance the things that matter most to them.

The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, ‘The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

Learn more here www.pwc.com/uk/careers/experienced/apply

Diversity

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here www.pwc.com/uk/diversity