The Advanced Specialist, Implementation Specialist (Data Governance & Item Bank Manager) is responsible for defining, stewarding, and enforcing the data and metadata standards that ensure the integrity, consistency, and strategic usability of assessment content across Pearson’s Assessment Asset Library (the item bank and supporting content repository used across School Assessment programs). 

This role blends deep assessment content knowledge with data governance discipline and item banking fluency to enable high-quality, reusable, and trustworthy assets across programs and assessment contexts. The manager establishes shared metadata models, alignment frameworks, and governance practices that support efficient content workflows, reuse across programs, and responsible AI-enabled content development at scale. 

The role serves as a system steward for item and content data architecture—ensuring assets are well-structured, discoverable, traceable, and interoperable across formative, progress monitoring, interim, and summative assessment uses. 

Core Responsibilities: 

Item Bank Governance & Architecture 

• Define and steward shared metadata models, taxonomies, and alignment frameworks for assessment content 

• Establish governance standards for asset structure, tagging, documentation, and lifecycle management 

• Ensure the assessment asset library remains clean, coherent, and strategically usable across programs and assessment contexts 

• Collaborate with other item bank and repository leaders to support interoperability across School Assessment systems 

Reuse, Alignment, and Strategic Asset Management 

• Enable efficient reuse of assessment assets by ensuring accurate standards alignment, tagging, and discoverability 

• Support reuse across assessment programs, ensuring assets are appropriately aligned to specific standards and program requirements 

• Prevent duplication and fragmentation by promoting shared assets and consistent metadata practices 

• Provide guidance on how assets developed for one assessment context can responsibly support others 

AI-Enabled Governance & Asset Lineage 

• Establish governance for AI-involved content assets, including provenance, lineage, and transparency of AI use 

• Define and maintain tracking of relationships between base assets and related downstream assets 

• Ensure governance practices support quality, coherence, and responsible AI use at scale 

• Partner with AI Content Systems and AI Science teams to ensure asset structures support AI authoring, scoring, and feedback workflows 

Data Quality, Validation, and Lifecycle Management 

• Define and enforce data quality standards for metadata, alignment, and asset relationships 

• Conduct audits and reviews to identify gaps, inconsistencies, or risks within asset repositories 

• Establish processes for versioning, deprecation, and retirement of assets 

• Partner with Data Analysts and technical teams to design and implement data quality checks, audits, and monitoring systems; define requirements and standards without requiring hands-on analytics development 

Cross-Functional Collaboration & Enablement 

• Collaborate closely with Content, Psychometrics, Accessibility, Publishing, Product, and Technology teams 

• Translate governance requirements into practical workflows, job aids, and guidance for content teams 

• Support training and adoption of metadata standards and governance practices 

• Drive alignment and shared understanding across matrixed teams 

Required Qualifications 

• Bachelor’s degree in education, instructional design, information science, data management, or equivalent experience 

• 5+ years of experience in K–12 assessment, item development, content development, data governance, or item banking 

• Demonstrated experience working with item banking platforms or structured content repositories 

• Experience developing or managing metadata standards, schemas, or tagging systems 

• Experience collaborating across Content, Psychometrics, Accessibility, Publishing, Product, and Technology teams 

Preferred Qualifications 

• Master’s degree in education, information architecture, data science, or related field 

• Experience with reuse strategies across assessment programs or interoperability frameworks 

• Working knowledge of psychometric concepts (item statistics, field testing, scaling) 

• Experience supporting accessibility, DEI, and fairness considerations in assessment content 

• Experience contributing to roadmap or system-level recommendations for content platforms 

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows: 

The minimum full-time salary range is between $110,000 - $120,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through Friday, Feb 20, 2026. This window may be extended depending on business needs.