Job Overview
We are seeking to hire an experienced Master Data Management (MDM) Solution Architect within Deloitte’s Engineering, AI & Data service offering. As part of our Data & Information Excellence capability, you will work with clients, vendor partners, and Deloitte teams from across the firm to design and deliver enterprise‑grade MDM solutions that unlock the value of trusted, well‑governed data. You will collaborate with a broad range of international and industry‑leading clients who are navigating rapidly evolving digital ecosystems where high‑quality master data is critical for operational efficiency, customer experience, regulatory compliance, and analytics‑driven decision‑making. You will bring deep expertise in data management and enterprise architecture and will be able to communicate effectively with both technical and business stakeholders.
Responsibilities
* Engage directly with senior client stakeholders and internal leadership to contribute to enterprise data strategies, MDM operating models, and data governance frameworks aligned with business outcomes.
* Lead the design, development, and implementation of enterprise MDM platforms, including data modelling, data quality rules, matching & merging logic, hierarchy management, workflow configuration, and system integration. Oversee the end‑to‑end operationalisation of MDM ecosystems, ensuring scalability, performance, data stewardship adoption, security, and regulatory compliance.
* Stay at the forefront of MDM and Data Management best practices, actively evaluating industry tools, vendor capabilities, and architectural patterns to drive innovation in client solutions.
* Guide and mentor junior data teams, promoting reusable assets, strong data governance practices, and delivery excellence across engagements.
Education & Experience
* Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline (or equivalent experience).
* Experience in Master Data Management, Data Governance, Data Architecture, or Enterprise Information Management.
* Extensive experience designing, delivering, and operating enterprise MDM solutions, including stewardship models, workflow management, and stakeholder engagement.
* Deep domain experience in implementing MDM within regulated or data‑rich industries (e.g., financial services, healthcare, retail, manufacturing, public sector).
* Proven track record of leading architecture teams, contributing to data strategy, and driving adoption of enterprise data standards.
* Experience with critical regulatory frameworks such as GDPR and industry‑specific compliance standards.
* Certifications in major MDM or data management platforms (e.g., Informatica MDM/IDMC, Reltio, Semarchy, SAP MDG, IBM InfoSphere) and cloud certifications (AWS, Azure, GCP) are highly desirable.
* Prior experience in consulting, working with diverse clients and project scopes across multiple industries, is highly desirable.
Technical Proficiency
* Demonstrated ability to lead the end‑to‑end design and deployment of complex MDM solutions, including integration with enterprise systems (ERP, CRM, data lakes, microservices).
* Expert knowledge of MDM architecture patterns, including registry, consolidation, coexistence, and centralised models.
* Data modelling (conceptual, logical, canonical models).
* Data quality frameworks (profiling, cleansing, validation rules).
* Matching & survivorship logic, entity resolution, hierarchy management.
* Metadata management, reference data management, and stewardship workflows.
* Strong proficiency with cloud‑native data services (Azure Purview/ADF, AWS Glue/Lake Formation, GCP DataPlex) and modern integration technologies (APIs, streaming, ETL/ELT).
* Solid understanding of data governance, data lineage, security practices, and regulatory compliance frameworks.
* Experience working with large‑scale data storage and processing technologies (SQL, Spark, NoSQL, ETL/ELT tools).
* Excellent communication and stakeholder management skills, with the proven ability to translate complex data concepts into actionable, business‑friendly insights.
Location & Working Arrangement
Based in London with hybrid working. Depending on the requirements of your role, you will have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. Please check with your recruiter for the specific working requirements that may apply to your role.
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