Job Description

We are seeking a skilled Data Specialist to work in Warwick

We are seeking a highly skilled data specialist with strong experience in master and reference data management to support data governance/provenance work. The ideal candidate will be adept at managing multiple stakeholders and will possess excellent communication skills to liaise across business and technical teams.

Key Responsibilities

• Drive the definition, implementation, and enforcement of Master and Reference Data governance processes, policies and standards to ensure accountability, transparency, and effective stewardship of Master & Reference Data across NESO

• Elicit business requirements and translate them into Master & Reference data entities, attributes, hierarchies and relationships, document business definitions, lineage, and metadata, and manage Master & Reference Data register/catalogue.

• Maintain Master & Reference data management procedures/services for create/update/retire workflows and approvals, operate daily controls (e.g., work queues, exception handling), and ensure audit trails are complete and accessible (who/what/when/why).

• Collaborate with data quality team and lead data stewards to identify data quality issues, configure and test data quality rules, match/merge logic, and survivorship, and run remediation tasks.

• Work with business stakeholders to ensure Master & Reference Data Management requirements/use cases have been identified and Master & Reference data related concepts and communication are delivered to relevant teams across business.

• Manage and assess risk associated with Master & Reference Data Management, implementing mitigation actions to ensure robust data governance.

• Facilitate engagement sessions and clearly communicate Master & Reference data-related concepts and requirements to relevant stakeholders.

• Provide training and guidance to NESO staff regarding Master & Reference data.

Required Experience & Skills

• Demonstrated experience working in Master Data Management initiative.

• Good understanding of data governance frameworks, ownership models, stewardship, and approval processes.

• Good understanding of core Master Data Management concepts (attributes, hierarchies, matching, survivorship, golden records).

• Able to capture business requirements and translate them into clear specifications for developers and architects.

• experience in defining Master Data Management standards, policy and standards, and implement these across the organisation.

• Exposure to Master Data Management processes such as matching, merging, survivorship, or reference data alignment.

• Ability to assess the impact of changes to master data codes, mappings, and standards.

• Ability to map source-to-target data flows and document data transformations.

• Experience building data dictionaries, mappings, and lineage documentation.

• Ability to manage operational workflows such as create/update requests, approvals, remediation tasks, and exception handling.

• Experience working with data quality team, data stewards or SMEs to validate definitions, business rules, or data issues.

• Strong analytical and problem-solving abilities to identify issues and develop solutions.

• Expertise in MDM tools and platforms, such as Informatica, SAP MDG, IBM Info Sphere, or similar technologies.

• Excellent verbal and written communication skills to collaborate with stakeholders across organisations.

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Deliver

		**No.Performance Parameter Measure**

		1.

Customer Engagement and Delivery Management:

		PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated.

		2.
		Knowledge Management
		No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components  developed for proposal during quarter