AI Data Modeler

Location: Onsite, Hybrid – Office location is Chandler AZ Required Pay Scale: $60-65hr W2 • • • Due to client requirements this role is only open to USC or GC candidates • • • Summary: This role is responsible for developing, governing, and improving the data and knowledge foundations that support AI and agentic capabilities across Network Services. The role partners with product and service subject matter experts to understand network technologies, operational workflows, and domain context so that high-quality data and knowledge can be translated into reusable AI-ready assets. This individual also contributes to preventative and detective controls that improve data quality, lineage, freshness, ownership, and governance, and helps ensure that context provided to models is accurate, supportable, and aligned to enterprise standards. Key Responsibilities: • Develop and maintain data and knowledge assets that support AI and agentic use-cases across Network Services, including both structured and unstructured sources. • Define and apply standards for how documentation, configurations, telemetry, metadata, policies, standards, and operational knowledge should be organized and prepared for AI consumption. • Partner with product and service subject matter experts to understand network technologies, operational context, and domain-specific knowledge required to improve model grounding and decision quality. • Design and implement scalable methods for storing, governing, indexing, and retrieving context assets needed for AI-enabled workflows and solutions. • Establish and improve preventative and detective controls that identify and reduce data quality, metadata quality, knowledge quality, and freshness issues before they affect downstream use. • Contribute to data quality remediation efforts by identifying upstream sources of issues, defining corrective actions, and improving the reliability of data at source. • Define and maintain expectations for data ownership, lineage, freshness, stewardship, and governance across relevant data and knowledge domains. • Build and enhance pipelines, transformations, validation routines, and supporting services that improve the quality and accessibility of data and knowledge assets. • Support the creation of reusable templates, patterns, and guidance for knowledge artifacts, documentation standards, and context management practices. • Work across engineering, architecture, operations, and governance teams to ensure data and knowledge practices align with enterprise controls, delivery needs, and approved standards. • Monitor and communicate the health, readiness, and quality of AI-relevant data and knowledge assets, including issues, gaps, and remediation priorities. • Contribute to continuous improvement of data and knowledge management practices that strengthen trust, reuse, traceability, and operational supportability of AI context . • Document data definitions, controls, transformations, and usage considerations so that downstream teams can reliably consume and support the resulting assets. • Experience engineering and managing both structured and unstructured data used for analytics, automation, search, or AI-enabled solutions. • Strong understanding of data modeling, transformation, storage, and retrieval patterns needed to support scalable and governed data pipelines. • Ability to define and apply standards for how data, documents, knowledge artifacts, metadata, and operational context should be prepared for AI consumption. • Experience establishing data quality controls, validation checks, and monitoring approaches that improve trust, completeness, consistency, and usability of data assets. • Knowledge of preventative and detective controls used to identify, prevent, and remediate data quality, metadata, or knowledge management issues. • Experience working with knowledge sources such as documentation, standards, policies, configurations, runbooks, telemetry, and operational records. • Ability to work with product and service subject matter experts to understand domain context and translate network operational knowledge into usable data and knowledge assets. • Working understanding of network technologies, infrastructure concepts, and operational service models sufficient to interpret domain-specific context and data requirements. • Experience defining data ownership, lineage, freshness, retention, governance, and stewardship expectations in a regulated enterprise environment. • Familiarity with AI and retrieval-oriented data preparation concepts, including grounding, context structuring, metadata quality, and content readiness for model use. • Ability to design and implement scalable approaches for storing, governing, indexing, and retrieving data and knowledge assets for downstream use. • Strong analytical and problem-solving skills, including the ability to identify upstream causes of data issues and drive sustainable remediation. • Experience working across engineering, architecture, operations, and governance stakeholders to align data practices to enterprise standards and delivery needs. • Strong written and verbal communication skills with the ability to document standards, controls, definitions, and usage guidance clearly. • Experience working in a fast-paced and complex environment with evolving priorities, incomplete data, and cross-functional dependencies. • Strong organizational discipline and attention to detail in support of trusted, production-grade data and knowledge practices. Must Haves: • Traditional Database technologies (MySQL, Oracle DB) • Python • ETL tools (informatica) • SQL Server • Teradata DB • Data modeling / normalization About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at info@matlensilver.com // 908-393-8600