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HR Data & Analytics Architect Reston, VA,
Job in
Reston, Fairfax County, Virginia, 22090, USA
Listed on 2026-06-18
Listing for:
CACI International Inc.
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Security
Job Description & How to Apply Below
## HR Data & Analytics Architect Reston, VA, USApply Now Find out how well you match with this jobJob ID327405
Job Title:
HR Data & Analytics Architect Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required to Start:
None Employee Type:
Regular Percentage of
Travel Required:
None Type of Travel:
None
** The Opportunity
** We’re looking for an HR Data Architect who 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.
** Responsibilities:
**** Data Architecture & Governance
*** 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
** Analytics & Reporting Enablement
*** 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
** AI & Digital Transformation Execution
*** 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
** Strategy & Roadmap
*** 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
*
* Qualifications:
***
* Required:
*** 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…
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