Consultant

Summary of Role Purpose

Metadata refers to the information that describes and provides context about data assets. Metadata turns data from a collection of rows & columns, files and records into a trusted, discoverable and governed business asset. It is often referred to as "data about data" and plays a crucial role in organising, managing, and utilising data effectively. It is the foundation that enables efficient operations, effective governance, high-quality analytics and trustworthy AI.

The Chief Data Office leads KPMG’s internal strategies, supporting frameworks and technologies to find, understand and trust data and information throughout their lifecycle.

The Metadata Steward will help deliver these ambitions by providing technical support for data governance and the curation of information about KPMG’s data and information assets. Working as part of a team of technical experts,the role will support the implementation of our chosen technology solutions , helping ensure our approach is future -ready, responsive to changing business needs , and maximises the value of metadata and data technologies in governing data and information.

Technical skills

Must have

- Experience working with Informatica’s Intelligent Data Management Cloud or other data governance tools in the market.
- Experience of working in a data management role as part of a multi-disciplinary team.
- Experience working with Microsoft Power Platform
- Awareness and appreciation of business and technology issues related to management of enterprise data and information assets.

Good to have

- Demonstrable knowledge of DAMA data disciplines and their intersections
- Ability to convert business data requirements (non-technical language) provided by stakeholders into technical rules
- Experience in SQL
- Expertise in Cloud Data Integrations and API integrations with strong knowledge on APIs.
- Experience of Cloud data platforms (preferably Microsoft suite – Azure SQL, Databricks, Blob Storage, Databricks and Data factory).
- Knowledge of Data warehousing and Data engineering concepts.
- Familiar with DevOps models and Agile methodologies.

Non-technical skills

- Team player - Ability to work within a team and adapt as required to achieve shared goals, with a willingness to learn from colleagues.
- Delivery focus – ability to manage time and priorities to ensure delivery to agreed deadlines.
- Self-starter – proactive approach to tasks and projects
- Effective communication – ability to communicate ideas and concepts clearly, articulate technical challenges in a non-technical language and to listen to others, engaging in discussions with an open mind.
- Critical thinking – ability to appropriately challenge and critique approaches, with a view to thinking on options to overcome challenges and articulating these to the wider team.