Senior Technical Lead Master Data Management

The Leukemia & Lymphoma Society•Remote,

4d•$96,000 - $139,000

About The Position

The Senior Technical Lead, Master Data Management is a hands-on practitioner responsible for the functional configuration, execution, and daily operation of Blood Cancer United’s master data program. Reporting to the Director, Data Governance, this role owns the end-to-end lifecycle of the organization’s critical data domains, including constituents, member organizations, employees, programs, and partner entities, ensuring that trusted records are available across systems. The role involves building matching rules, resolving duplicates, defining MDM reference-data requirements and rules, and partnering with system owners and data stewards to make master data reliable, consistent, and actionable. The Senior Technical Lead serves as the MDM subject-matter expert, recommending and documenting match/merge and survivorship rules, while the Director, Data Governance owns business governance, decision rights, and senior-leadership approvals. The position also works with Architecture, Engineering, Systems Development Engineering, Integration, and Data Engineering teams on platform implementation, integrations, data quality, and lineage.

Requirements

At least 7 years of progressive experience in MDM, data quality, or enterprise data management, including senior-level ownership of complex MDM delivery and cross-functional workstreams.
Strong SQL proficiency for data profiling, match-rule validation, duplicate analysis, and remediation.
Working knowledge of enterprise integration concepts and platforms sufficient to define MDM requirements, review mappings, validate outcomes, and partner with Integration and Data Engineering teams.
Demonstrated ability to manage and deliver MDM initiatives in a resource-constrained environment without dedicated MDM platform software.
Strong analytical and stakeholder-engagement skills, with the ability to navigate complex requirements across business and technical teams.
Expertise in entity resolution and master data design, including deterministic and probabilistic matching strategies, survivorship logic, and enterprise-scale golden record governance.
Familiarity with CRM or ERP platforms and their native data-management capabilities, such as deduplication, data loaders, merge rules, and custom objects.
Ability to translate complex MDM concepts into clear documentation and practical guidance for non-technical stakeholders.
Hands-on experience using and administering a dedicated MDM platform; experience with an enterprise MDM system such as Informatica MDM, Semarchy, or Stibo STEP is required.

Nice To Haves

Working knowledge of Python or Power Query for practitioner-level analysis.
Bachelor’s degree in Information Management, Computer Science, Data Science, or a related field; equivalent experience is accepted.
Experience with nonprofit CRM platforms such as Salesforce, Raiser’s Edge NXT, or Microsoft Dynamics 365.
Exposure to cloud data platforms such as Snowflake, BigQuery, or similar, and their native data-quality or cataloging capabilities.
Knowledge of the DAMA-DMBOK MDM knowledge area or an equivalent data-management framework.
Experience in or strong familiarity with the life sciences nonprofit sector, including blood cancer or rare disease patient advocacy landscapes, clinical research data structures, or health outcomes data; experience managing constituent, member, or patient data in this context is a strong plus.

Responsibilities

Own the master data lifecycle for core domains: constituents (patients and donors), member organizations, employees, programs, and partner entities.
Define and maintain golden record standards, including field-level merge and survivorship rules for resolving conflicts among source systems.
Define, configure, test, and monitor entity-matching rules to identify, link, and consolidate duplicate or related records across CRM and other operational systems.
Define and maintain master-data registry requirements and content, partnering with Architecture and Engineering on the technical solution and implementation.
Recommend match/merge and survivorship rules as the MDM subject-matter expert and document decisions.
Define requirements and execute recurring MDM data-quality assessments across master data domains, measuring accuracy, completeness, uniqueness, consistency, and timeliness.
Assist with deduplication and data-cleansing initiatives, including bulk remediation projects and ongoing exception-management workflows.
Define MDM data-quality rules and acceptance criteria; configure platform checks where appropriate and partner with Data Engineering on custom automation.
Triage, prioritize, and resolve master data issues escalated by data stewards, system users, or downstream reporting consumers.
Track and report data-quality metrics, trends, and remediation progress to the Director, Data Governance.
Partner with Systems Development Engineering to ensure master data is correctly propagated across integrated platforms, including CRM, marketing tools, and analytics environments.
Identify and document data fragmentation or inconsistency across systems and lead resolution efforts.
Define MDM mapping requirements and validate cross-system mappings so entities are consistently identified and represented across sources.
Support data migration and system implementation projects by supplying validated, cleansed, and standardized master data.
Define and configure MDM standardization rules for names, addresses, organization types, and other structured fields.
Create and maintain master data documentation, including matching rule specifications, survivorship logic, MDM domain definitions, and business rules.
Document entity-resolution decisions, known data exceptions, business rules, process lineage, and source-to-golden-record transformations for technical and non-technical stakeholders.
Partner with Architecture and Engineering on enterprise technical lineage.
Contribute to the broader data governance documentation library and ensure MDM standards align with enterprise data policies.