Senior master data management

B2B Project: Senior Master Data Management / CluedIn / Databricks

Hays Contracting Services operates under a B2B service delivery model. We are currently looking for a B2B contractor to provide senior-level services in Master Data Management, Data Quality and Data Governance as part of an enterprise data management initiative.

Location: Remote Cooperation type: B2B Project duration: Initial 12-month contract with possible extensions Start date: ASAP Rate: 120-180 pln/h net + VAT

Project description The project focuses on ensuring that critical business entities are consistently identified, mastered, governed and trusted across operational systems and analytical data products. The specialist will improve Master Data Management processes in CluedIn, strengthen data quality and stewardship practices, and support governed integration and publication of mastered data through Databricks-based Silver and Gold datasets.

Technology environment

• CluedIn
• Databricks
• SQL
• Enterprise MDM platforms
• Data profiling, matching, merging and survivorship
• Silver and Gold data layers

Scope of services

• Own and continuously improve Master Data Management processes within CluedIn.
• Configure, test and maintain matching, merging, survivorship, cleansing and enrichment rules.
• Manage golden-record creation, changes, exceptions, unmerging and publication.
• Define and document source authority at attribute and business-event level.
• Maintain traceability between source records, mastered entities and downstream datasets.
• Investigate ambiguous matches, false positives, false negatives, over-merges and duplicate records.
• Support the onboarding of new master-data domains and source systems.
• Profile critical master data and identify material data-quality risks.
• Define data-quality rules, dimensions, thresholds and service expectations with Business Data Owners and Data Stewards.
• Monitor completeness, validity, consistency, uniqueness, timeliness and integrity of master data.
• Lead root-cause analysis and coordinate corrective and preventative actions.
• Produce concise data-quality reports covering business impact, risk, ownership, trends and required decisions.
• Establish practical stewardship workflows, service expectations and escalation paths.
• Facilitate agreement between source owners, Business Data Owners, Data Stewards, engineering teams and data consumers.
• Support the definition and review of data contracts for source, canonical and published datasets.
• Maintain definitions for mastered entities, attributes, identifiers, hierarchies and relationships.
• Support canonical data models and source-to-canonical mappings.
• Maintain auditable records of matching, survivorship, stewardship and exception decisions.
• Work with Data Engineering and the wider Data Team to integrate data into Databricks.
• Define validation and reconciliation across source data, CluedIn outputs and downstream Silver and Gold datasets.
• Support governed publication and use of mastered and reference data.
• Translate technical MDM and data-quality issues into clear business impacts and decisions.
• Act as a trusted adviser and coach colleagues on MDM, stewardship, data quality and operational improvement.

Required competencies

• At least 8 years of experience across Master Data Management, Data Quality, Data Governance or closely related disciplines.
• Significant hands-on experience with an enterprise MDM platform.
• Practical experience with entity resolution, matching, merging, survivorship, golden records, hierarchies and data stewardship.
• Strong SQL and data-profiling capabilities.
• Experience delivering data-quality improvements and root-cause remediation.
• Experience working with complex enterprise data from multiple source systems.
• Experience gained in financial services or another complex, regulated or data-driven organisation.
• Ability to influence without formal authority and communicate complex data issues in concise business language.
• Willingness and ability to transfer knowledge openly and avoid creating a single-person operational dependency.

Nice to have

• Experience in private markets, alternative asset management, investment management, banking, fund administration or private banking.
• Knowledge of investor, client, counterparty, fund, legal-entity, portfolio-company or financial-instrument data.
• Experience with data contracts, business glossaries, metadata management and data-product governance.
• DAMA/CDMP or another recognised Master Data Management, Data Governance or Data Quality qualification.

Cooperation process

• profile and experience review by the Hays team;
• a conversation with a Hays consultant about the project and scope of services;
• a technical meeting with project representatives (up to 2 stages);
• agreement on cooperation terms;
• commencement of service delivery.

The cooperation is carried out between independent businesses (B2B model) and covers the performance of services within the agreed project scope. The Contractor independently organizes and manages the manner in which the services are performed, taking into account the project requirements, security obligations, and the necessary communication with the client. Any information regarding location, availability, or project meetings is provided solely for organizational purposes and shall not be construed as creating an employment relationship, employer-like supervision, or performance of work under the direction or control of the client.

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#1202384 - Mateusz Malachowski