Blood Cancer United

Senior Technical Lead – Master Data Management

Blood Cancer United
Posted 10/21/2026full-timeRemote • United StatesSenior💰 $96,000 - $139,000 per yearWebsite
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Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Master Data Management (MDM) with a focus on data quality, entity resolution, and governance. Proficient in SQL and familiar with Python and Power Query for data profiling and remediation in complex environments.

Highest-signal resume keywords
Master Data Management (MDM)SQL ProficiencyEntity Resolution ExpertiseData Quality AssessmentExperience with Informatica MDM

Tech Stack

Tools & technologies
BigQueryCloudERPInformaticaPythonSQL

About the role

Key responsibilities & impact
  • Own the master data lifecycle for constituents, member organizations, employees, programs, and partner entities
  • Define and maintain golden record standards, field-level merge rules, and survivorship rules
  • Define, configure, test, and monitor entity-matching rules across CRM and other operational systems
  • Define and maintain master-data registry requirements and content
  • Serve as the MDM subject-matter expert for match/merge and survivorship rules
  • Execute recurring MDM data-quality assessments measuring accuracy, completeness, uniqueness, consistency, and timeliness
  • Assist with deduplication, data cleansing, bulk remediation, and exception-management workflows
  • Define MDM data-quality rules and acceptance criteria; configure platform checks and partner on SQL, Python, Power Query, or enterprise-tool automation
  • Triage, prioritize, and resolve master data issues
  • Track and report data-quality metrics, trends, and remediation progress to the Director, Data Governance
  • Partner with Systems Development Engineering to propagate master data across CRM, marketing, and analytics platforms
  • Identify and resolve data fragmentation and inconsistencies across systems
  • Define MDM mapping requirements and validate cross-system mappings
  • Support data migration and system implementation projects with validated, cleansed, standardized master data
  • Define and configure standardization rules for names, addresses, organization types, and structured fields
  • Create and maintain MDM documentation, matching-rule specifications, survivorship logic, domain definitions, and business rules
  • Document entity-resolution decisions, data exceptions, process lineage, and source-to-golden-record transformations
  • Contribute to the organization's broader data-governance documentation library

Requirements

What you’ll need
  • 7+ years of progressive experience in MDM, data quality, or enterprise data management
  • 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 Python or Power Query preferred
  • Working knowledge of enterprise integration concepts and platforms
  • Proven ability to manage and deliver MDM initiatives in a resource-constrained environment without dedicated MDM platform software
  • Strong analytical and stakeholder engagement skills
  • Expertise in entity resolution and master data design, including deterministic and probabilistic matching strategy, survivorship logic, and golden record governance at enterprise scale
  • Familiarity with CRM or ERP platforms and native data management capabilities
  • 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
  • Bachelor's degree in Information Management, Computer Science, Data Science, or related field preferred; equivalent experience accepted
  • Experience with nonprofit CRM platforms such as Salesforce, Raiser's Edge NXT, or Microsoft Dynamics 365 preferred
  • Exposure to cloud data platforms such as Snowflake or BigQuery preferred
  • Knowledge of DAMA-DMBOK MDM knowledge area or equivalent data management framework preferred
  • Life sciences nonprofit, blood cancer, rare disease, clinical research, health outcomes, constituent, member, or patient data experience is a strong plus

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Flexible spending accounts
  • 403b retirement plan
  • Generous paid time off
  • Federal paid holidays
  • Wellness program
  • Employee assistance program
  • Annual incentive plan
  • Competitive benefits package

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Master Data Lifecycle ManagementData CleansingData MigrationData Quality Rules DefinitionEntity-Matching Rules ConfigurationSurvivorship LogicDeterministic Matching StrategyProbabilistic Matching StrategyStandardization Rules ConfigurationData Profiling
Soft Skills
Analytical SkillsStakeholder EngagementDocumentation Skills
Tools & Technologies
Informatica MDMSemarchyStibo STEPSalesforceRaiser's Edge NXTMicrosoft Dynamics 365SnowflakeBigQueryPower QueryCRM Platforms
Industry Keywords
Data GovernanceDAMA-DMBOKLife Sciences NonprofitClinical ResearchHealth OutcomesConstituent DataMember DataPatient Data