Data Management Analyst — AI‑Driven Data Quality & Governance

PassFort; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Moody’s is seeking a Data Management Analyst in London to drive data improvement across Structured Finance analytics tools and workflows, focusing on data lineage, taxonomies, and cloud migration.

You will collaborate with cross-functional teams, design data dictionaries, establish governance practices, and translate business needs into data requirements within an Agile environment, enhancing data quality and operational effectiveness.

Qualifications

• 2+ years of experience in data management and data transformation, including working with unstructured data
• Knowledge of data governance principles, database structures, data lineage mapping and governance reporting
• Experience working with customers and users to understand data requirements and use cases
• Understanding of Agile methodologies to work effectively in product-focused teams
• Strong problem-solving skills to resolve data quality and process challenges
• Excellent communication skills, with the ability to simplify complex themes for diverse audiences
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Responsibilities

• Support data improvement initiatives for Structured Finance analytics tools and workflows, from data lineage and taxonomies to cloud data migration.
• Assist in designing, developing and implementing data improvement initiatives for Structured Finance analytics tools and workflows, under the guidance of senior data management team members
• Develop data usage strategies that optimize data quality, efficiency and operational effectiveness
• Collaborate with cross-functional teams and partners to translate business needs into data requirements and map end-to-end data lineage for the target-state service solution
• Design and maintain databases, data dictionaries and taxonomies, and define data elements and concepts for end users, to ensure data consistency and integrity
• Establish data governance practices, including data standards, policies and procedures
• Analyze data to identify trends, patterns and insights that inform the prioritization of digital enablement
• Work with Information Technology teams to define data migration requirements and ensure a smooth transition from legacy systems to modern, cloud-based data infrastructure
• Identify, clean, validate and migrate data from various sources
• Develop and monitor key performance indicators for data quality and process performance
• Work in Agile teams with Product Owners to define business data requirements and identify opportunities to improve and redevelop technology solutions
• Challenge the status quo by proposing innovative data solutions, performance metrics and new or third-party data sources
• Partner with learning and process teams to develop data training, communication and roll-out plans for key data and technology changes

Skills

Data management

Data transformation

Unstructured data

Data governance

Data lineage

Governance reporting

Data requirements

Agile methodologies

Problem-solving

Communication

AI concepts

Responsible AI

Learning curiosity

Education

Bachelor's degree in related field

Job description

Moody’s is seeking a Data Management Analyst in London to drive data improvement across Structured Finance analytics tools and workflows, focusing on data lineage, taxonomies, and cloud migration.

You will collaborate with cross-functional teams, design data dictionaries, establish governance practices, and translate business needs into data requirements within an Agile environment, enhancing data quality and operational effectiveness.