What are the responsibilities and job description for the EIM SME consultant position at Luna Data Solutions, Inc.?
We are seeking an EIM SME consultant role in Austin, TX.
Onsite. Please submit resumes only for candidates currently based in Austin or willing to relocate to the area.
GENERAL DESCRIPTION
We are seeking an experienced and knowledgeable Enterprise Information Management (EIM) Subject Matter Expert (SME).
The EIM SME will focus on the strategy for ensuring the quality of enterprise master data and preparing its future-state data management and analytics platform. The SME will also assist in developing and implementing a data archiving strategy and support the data warehousing strategy for evolving data infrastructure.
This role will include responsibilities in three primary areas:
Master Data Strategy – Maintaining and refining the existing master data strategy, focusing on the Person domain and governance.
Future-State Data Strategy – Supporting the data strategy assessment and roadmap development for future data management platforms.
Data Archive Strategy – Assisting in the development and execution of a data archiving strategy to ensure long-term data storage and compliance.
The role will also oversee the transition between the assessment vendor engagement and subsequent implementation, ensuring seamless continuity and readiness for future data management practices.
FUNCTIONAL RESPONSIBILITIES
Master Data Strategy
Governance and Stewardship:
Support and refine the Person domain master data strategy, emphasizing governance, stewardship, and best practices.
Ensure compliance with data standards, policies, and processes to maintain consistency across systems.
Best Version of the Truth (BVoT):
Oversee the continued development of processes for identifying and maintaining a “best identity” for each person within the master data system.
Ensure integration and synchronization of master data across applications and systems.
Data Quality and Integration:
Monitor and address data quality issues within the Person domain, including matching, merging, and deduplication processes.
Collaborate with internal stakeholders to ensure the master data strategy aligns with organizational needs and policies.
Preparation for Vendor Engagement
Develop and document metadata collection and cataloging processes, identifying data assets, categorizing them by role in supporting the mission, and specifying metadata requirements (e.g., quality, business context, and analytics applicability).
Support the definition of scope and requirements for the data strategy assessment and roadmap vendor engagement.
Data Archiving Strategy
Advise and assist on the strategy for archiving data not intended for migration to the future-state pension and benefits administration platform.
Define/document policies and tools to manage legacy data storage and retrieval.
Integrate the archive strategy into the vendor engagement scope.
Gap Analysis and Readiness
Post-roadmap assessment, create plans to address critical gaps identified by the vendor that could impede roadmap implementation.
Oversee pre-implementation initiatives to ensure readiness before transitioning to the implementation phase.
Scope of Work (SOW) Development
Collaborate with stakeholders to develop a comprehensive Scope of Work (SOW) for onboarding the implementation vendor.
Ensure the SOW includes detailed requirements, deliverables, and milestones for executing the roadmap.
Ongoing Duties
Metadata and Data Catalog Implementation:
Implement metadata management and cataloging strategies across all phases, ensuring alignment with organizational goals.
Collaboration and Leadership:
Provide guidance to internal teams on EIM best practices, policies, and tools.
Train staff on metadata management, data catalog strategies, and master data governance.
Continuous Improvement:
Monitor trends in data management platforms (cloud, on-premise, or hybrid) and metadata management to identify opportunities for improvement.
Recommend enhancements to existing processes and policies based on industry best practices.
Required Skills:
Bachelor’s degree in Mathematics, Computer Science, Information Systems, Data Management, or a related field.
Minimum of 8 years of experience in Enterprise Information Management, data governance, metadata management, and master data strategy.
Proven experience in designing and managing metadata and data catalog strategies.
Strong understanding of data archiving strategies and processes.
Demonstrated ability to evaluate vendor deliverables and ensure actionable outcomes.
Experience in defining and managing data management processes in cloud-based, on-premise, or hybrid environments.
Excellent analytical, problem-solving, and organizational skills.
Strong leadership, communication, and vendor management abilities.
Preferred Skills
Advanced degree in Mathematics, Computer Science, Information Systems, Data Management, or a related field.
Certification in Data Management (e.g., CDMP, DGSP).
Familiarity with industry regulations, compliance requirements, and archiving best practices.
Experience developing detailed scopes of work (SOWs) for future-state implementation projects.
This is a long-term contract opportunity for an onsite role in Austin, Texas. No sponsorship can be provided. Candidates must be able to pass a background check. If this interests you, please send your resume to saritha@lunadatasolutions.com
Luna Data Solutions, Inc. provides equal employment opportunities to all employees. All applicants will be considered for employment, and prohibits discrimination and harassment of any type without regard to age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and disability status.
