Senior Metadata Ingestion Analyst - SMIA 26-06923

NavitasPartners•Austin, TX

2d•Onsite

About The Position

We are seeking a Senior Metadata Ingestion Analyst to serve as a key liaison between technical IT teams and non-technical business stakeholders. This role focuses on metadata acquisition, analysis, enrichment, and governance to support enterprise reporting, analytics, and strategic decision-making. The ideal candidate brings strong analytical expertise, business analysis experience, and the ability to translate complex technical data into actionable insights, particularly in evolving AI-driven environments.

Requirements

8+ years of experience in business analysis, data analysis, or metadata management roles
Strong experience gathering business requirements and translating them into data solutions
Expertise in explaining complex technical concepts to non-technical stakeholders
Advanced SQL skills for data extraction, manipulation, and analysis
Experience working with data glossaries, metadata, and data lineage
Proven ability to collaborate across technical and business teams
Excellent communication, presentation, and interpersonal skills
Experience working in Agile development environments
Familiarity with iterative delivery models and cross-functional team collaboration

Nice To Haves

Experience with Business Intelligence and Data Warehousing environments
Familiarity with data governance and data quality frameworks
Experience with metadata and data catalog tools (e.g., enterprise data catalog platforms)
Background in regulated environments such as healthcare or public sector
Experience leading metadata or analytics initiatives
Exposure to AI tools and prompt development techniques
Experience training and mentoring users on data tools and best practices

Responsibilities

Act as a bridge between technical teams and business units to translate requirements into actionable data solutions
Analyze business systems and user needs, aligning solutions with organizational strategies
Support business process reengineering and identify opportunities to improve efficiency through technology
Prepare solution options, risk assessments, and cost-benefit/ROI analyses
Acquire, analyze, and enrich metadata from complex internal and external data sources
Support development and maintenance of data glossaries and data lineage frameworks
Automate metadata collection and updates for high-value data assets
Ensure data accuracy, quality, and compliance with governance standards
Extract and analyze data using SQL and other analytical tools
Develop reports, dashboards, and visualizations to support business insights
Translate analytical findings into clear, actionable recommendations
Validate outputs, including AI-generated insights, ensuring accuracy and reliability
Develop and refine AI prompts and query strategies for metadata extraction and synthesis
Support end-users in effectively leveraging AI tools for data access and reporting
Create standardized prompt libraries for common use cases
Promote data literacy across the organization through training and enablement
Develop documentation, user guides, and training materials for data tools and processes
Mentor users with varying levels of technical expertise
Partner with IT, data engineering, and business teams to resolve data inconsistencies
Provide subject matter expertise on metadata, data governance, and analytics
Stay current with emerging tools, technologies, and best practices in data and AI