Data Management Solutions Manager

Role Purpose

The Data Management Solutions Manager is responsible for hands on design and delivery of the tooling for Data Management – e.g. Data Catalog, Data Quality, Data Lineage.

This includes configuring pipelines and connectors to ingest metadata, classify data, and establish data elements within a Business Data Catalog enabling  additional data governance activities such as data quality and data lineage. The manager will be hands on and responsible for tooling related to metadata management, data quality management, reference data management, master data management, amongst others. 

This role will also support use case development leveraging data elements/attributes through hands on data profiling and data discovery.

Main duties and responsibilities

• Implement comprehensive data cataloging for appropriate data attributes 
• Connect the orchestration and integration of data catalog tooling with data governance activities
• Develop data quality profiling and data quality issue management solutions using appropriate tooling 
• Develop data lineage visualisation for use cases 
• Drive adoption and utilisation of data management tooling, enabling enterprise data discovery and self service
• Undertake hands on data discovery and data governance activities for priority use cases to showcase data management best practice 

About you

• In-depth experience of set up and embedding data management tooling  (catalog, quality, lineage, etc) – in particular using Microsoft Purview (must have) and Unity Catalog (should have)
• Curiosity and eagerness to explore the new frontiers and opportunities for Data Management  & Quality in the GenAI space, both as enabler and beneficiary (Data for GenAI & GenAI for Data)
• In depth experience of data architecture, modelling and data modelling tools
• Ability to identify and address data-related challenges effectively
• Experience developing technical and business lineage 
• Experience developing data quality rules and profiling of data quality using DQ tooling 
• In-depth experience with data management tooling for managing metadata, data quality, reference data and master data amongst others
• Strong project management skills, with the ability to lead projects from inception to completion
• Excellent communication skills for interacting with various stakeholders and explaining complex concepts
• Experience in data classification and application to data security and access controls