HR Data & Analytics Architect

CACI International•Reston, VA

3d•$120,800 - $265,800•Onsite

About The Position

The HR Data & Analytics Architect will shape and manage near and long-term activities to strengthen our AI and Digital Modernization journey. As a critical bridge between HR data engineering, HR technology, and enterprise AI initiatives, the HR Data Architect ensures HR data is structured, governed, and leveraged effectively to enable next‑generation capabilities. The ideal candidate brings both deep hands‑on technical expertise and the strategic insight to translate complex data environments into clear, actionable roadmaps. Responsibilities include overseeing HR data architecture and governance, enabling advanced analytics, and driving AI and digital transformation execution. The role also builds strategic partnerships across the organization and develops integrated data and technology roadmaps that support long‑term capability growth.

Requirements

10+ years of experience in data architecture, data engineering, or related technical roles, with meaningful exposure to HR or enterprise people systems
Deep familiarity with HR technology ecosystems with working knowledge of platforms such as Workday, major ATS/TMS vendors, Talent Intelligence, LMS platforms, and HR analytics tools
Experience designing data infrastructure to support AI/ML use cases, including feature engineering, model input pipelines, and output activation
Strong command of data governance principles, including data quality management, metadata standards, and access control frameworks
Proven ability to lead and influence without authority, building alignment across technical and business stakeholders in matrixed environments
Experience in Federal or Government Contracting industry

Nice To Haves

Experience with AI-embedded HR platforms and conversational or predictive AI tools in a workforce context
Familiarity with AI regulatory frameworks and their data governance implications
Background in HR technology strategy, vendor management, or digital transformation program delivery

Responsibilities

Design, document, and maintain the HR data architecture across the full HR technology ecosystem
Define and implement data standards, taxonomies, and governance practices that ensure accuracy, consistency, and compliance across all HR data domains
Oversee the development and management of data dictionaries, lineage documentation, and data models
Partner with enterprise data governance teams to align HR data practices with organization-wide frameworks
Identify and remediate data quality issues, redundancies, and structural debt across the HR tech stack
Refine and optimize data models to support reporting, analytics, and AI/ML consumption at scale
Establish the data infrastructure required to power workforce analytics, HR reporting, and dashboards
Collaborate with analytics and BI teams to ensure data availability, consistency, and performance for downstream consumption
Define data pipelines and ingestion patterns that support workforce reporting needs
Enable self-service analytics capabilities by ensuring well-structured, accessible, and documented data assets
Operationalize the AI in HR strategy, serving as the data layer owner for AI initiatives spanning workforce enablement, process automation, and AI-embedded tools within the HR tech stack
Assess data readiness and quality requirements for AI/ML models, identifying gaps and defining remediation paths
Shape data strategies for strategic AI pilots and initiatives, ensuring alignment with governance
Support the evaluation of AI vendor data practices in partnership with key internal stakeholders
Stay current on developments in AI regulation including emerging state and federal frameworks and incorporate compliance considerations into data design decisions
Develop and maintain a near and long-term HR data architecture roadmap aligned to HR strategy, workforce needs, and enterprise technology direction
Advise HR stakeholders and cross-functional partners on HR data capabilities, limitations, and priorities
Lead through influence building alignment and momentum without direct authority across HR, IT, Legal, and Finance stakeholders
Serve as HR subject matter expert in vendor evaluations, RFPs, and platform assessments regarding data architecture and AI capability
Translate complex technical concepts into strategic narratives suitable for non-technical audiences