Data Governance & Enablement Manager

DLA Piper; Birmingham; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Governance & Enablement Manager to lead the implementation of data management policies and standards. This role is pivotal in managing data as a strategic asset, ensuring it is discoverable, trusted, and compliant with legal standards. The ideal candidate will have deep experience in data ownership and management, strong analytical skills, and the ability to communicate complex data concepts effectively. Join a forward-thinking organization that values innovation in data management, especially in the evolving landscape of GenAI. Your contributions will drive efficiency and effectiveness in data practices across the organization.

Qualifications

• Deep experience in implementing Data Ownership and Management Models.
• Strong analytical skills to identify data quality issues.
• In-depth understanding of data management principles.

Responsibilities

• Implement data management policies to ensure data quality and compliance.
• Oversee data quality standards and liaise with data owners.
• Continuously improve data management practices for efficiency.

Skills

Data Ownership

Data Management Operating Models

Metadata and Data Quality Tools

SQL

Data Visualization

Analytical Skills

Project Management

Leadership Skills

Communication Skills

Tools

Data Management Tooling

Data Warehousing

Job description

Role Purpose

The Data Governance & Enablement Manager is responsible for implementing and enabling data management policies and standards within DLA Piper. This role involves managing data as a strategic asset, ensuring it is discoverable, understood, trusted, secured and available - in alignment with data management best practices.

The manager will be hands on and responsible for definition and execution of approaches to data ownership, metadata and lineage, data quality, reference data and master data management, amongst others.

Main duties and responsibilities

• Implement comprehensive data management policies and standards to ensure data discovery, understanding, quality, and compliance with legal and ethical standards
• Establish a comprehensive data management operating model to embed data ownership roles, related processes and technology
• Implement strategies and practices to classify data, protect data privacy and implement lifecycle management in collaboration with Office of General Counsel
• Set and monitor data quality standards, liaising with data owners on DQ remediation initiatives across the organisation
• Oversee the management of business metadata to improve data usability and understanding
• Oversee the establishment of MDM and reference data strategies to ensure data consistency and accuracy.
• Continuously improve data management practices for efficiency and effectiveness

About you

• Deep experience implementing Data Ownership and Data Management Operating Models.
• Knowledge of metadata and data quality tools, databases, data warehousing, and data analysis techniques. Familiarity with SQL and data visualization
• Strong analytical and problem-solving skills to identify data quality issues and develop effective solutions
• 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)
• Excellent communication and interpersonal skills to work with various stakeholders and promote data ownership and data quality best practices across the organization
• Strong project management skills, with the ability to lead projects from inception to completion
• In-depth understanding of data management principles and practices
• Strong leadership skills with the ability to communicate complex data concepts
• Ability to identify and address data-related challenges effectively
• Knowledge of legal and ethical considerations in data management, especially in the legal sector
• In-depth experience of data management tooling for managing metadata, data quality and master data amongst others