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About the Role

This role is critical to ensuring the integrity and usability of reference data across the organization. The Reference Data Management Project Lead will help enable data-driven decision-making and operational efficiency. We ask that you have a strong blend of data management expertise, governance discipline, technical fluency, delivery leadership, and stakeholder influence.

Responsibilities

• Lead end-to-end delivery of reference data management projects, from planning and design through implementation and post-launch support
• Define and maintain reference data standards, policies, and governance frameworks
• Collaborate with business stakeholders, data owners, and IT teams to identify and document reference data requirements
• Oversee data modeling, data mapping, and integration efforts related to reference data domains
• Manage project timelines, budgets, risks, and dependencies across multiple workstreams
• Ensure data quality by establishing validation rules, monitoring processes, and remediation workflows
• Coordinate cross-functional teams including data engineers, analysts, and business users
• Drive adoption of reference data tools, platforms, and best practices across the organization
• Develop and maintain documentation including data dictionaries, lineage, and governance artifacts
• Report project status, risks, and KPIs to senior leadership and stakeholders
• Champion enterprise-wide data governance projects and align reference data strategy with broader data management goals
• Implement modern data management tools (e.g., MDM platforms, data catalogs, metadata management solutions)
• Lead change management efforts to improve data literacy and governance adoption
• Mentor junior team members and help build a strong data management culture
• Partner with architecture and engineering teams to define scalable integration and distribution patterns for reference data, including APIs, batch feeds, event-driven patterns, and catalog integration
• Identify opportunities for automation and process optimization within reference data workflows
• Support regulatory and compliance requirements related to data management (e.g., audit readiness, reporting standards)
• Contribute to long-term data strategy and roadmap planning

Requirements

• Bachelor's degree in Information Systems, Data Management, Business, or a related field
• 7+ years of experience in data management, data governance, or reference/master data projects
• Knowledge of healthcare data concepts, regulatory reporting, privacy/security expectations, audit readiness, or compliance-driven data controls
• Experience with reference data lifecycle management, authoritative sources, data ownership, stewardship, metadata, lineage, data quality, controls, and issue remediation
• Proven experience leading complex, cross-functional projects
• Experience with data governance frameworks, data quality, and metadata management
• Experience with SQL, data analysis, data profiling, data mapping, ETL/integration concepts, and system-to-system data flows
• Excellent stakeholder management
• Familiarity with project management methodologies (Agile, Scrum, or Waterfall)
• Master's degree or relevant certifications such as CDMP, DAMA, PMP, Scrum, or data governance/data management certifications.
• Experience with MDM/RDM platforms, data catalogs, metadata management tools, data quality tools, workflow tools, or cloud data platforms.
• Experience with Reltio Reference Data Management tool.
• Experience with data visualization or reporting tools
• Technical proficiency in SQL, data analysis tools, or scripting languages

Skills

• Data Management
• Data Governance
• Reference Data Management
• Stakeholder Influence
• Technical Fluency
• Delivery Leadership
• Data-Driven Decision-Making
• Operational Efficiency
• Operating Model Definition
• Governance Practices
• Standards and Controls
• Adoption Approach Development
• Data Quality Assurance
• Metadata Management
• Data Lineage
• Change Workflows
• Project Management
• SQL
• Data Analysis
• Data Profiling
• Data Mapping
• ETL/Integration Concepts
• System-to-System Data Flows
• Agile
• Scrum
• Waterfall
• MDM Platforms
• Data Catalogs
• Metadata Management Solutions
• Data Quality Tools
• Workflow Tools
• Cloud Data Platforms
• Reltio Reference Data Management
• Data Visualization
• Reporting Tools
• Scripting Languages

Work Type

• Full-time

Experience Level

• 7+ years of experience

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• $117,600 - $161,700 per year

Benefits

• Medical benefits
• Dental benefits
• Vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term disability
• Long-term disability
• Life insurance

About the Company

• Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

Equal Opportunity

• It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.