We’re seeking a Senior Software Engineer to join our API Enablement Team, a small, high‑impact horizontal engineering group focused on building and maintaining enterprise‑level API tooling, governance automation, and developer experience platforms.

This team enables domain engineering teams across the organization to design, build, and publish high‑quality APIs efficiently and consistently. In this role, you’ll work on foundational platforms—including API quality enforcement engines, SDK generators, and the enterprise API catalog—that directly accelerate development and improve governance at scale.

What You’ll Do

• Collaborate with the API Enablement team to design, build, and maintain enterprise‑grade internal tooling and platforms
• Contribute to cross‑cutting technical solutions, including:
  • API quality and compliance automation
  • Client SDK generation
  • Enterprise API catalogs and developer experience platforms
• Champion contract‑first API design and tooling built around the OpenAPI Specification (OAS)
• Participate in feature refinement, solution design, and decomposition of work into deliverable items
• Partner across organizational boundaries with domain engineering teams, Enterprise Architecture, and API Management
• Identify opportunities for continuous improvement and own initiatives that enhance team effectiveness
• Communicate clearly and collaboratively with both technical and non‑technical stakeholders

Required Qualifications

• Bachelor’s degree or equivalent professional experience
• 8+ years of professional software development experience
• 5+ years of experience with API design, development, and governance using REST and OpenAPI
• Strong experience with Java and/or Node.js / TypeScript
• Hands‑on experience with:
  • Contract‑first API design
  • API quality automation
  • Internal platform or developer tooling development
• Proven ability to architect and deliver impactful platform or tooling solutions in an enterprise environment
• Ability to work autonomously with minimal direction
• Excellent communication skills across technical and business audiences

Must‑Have Technical Skills

• RESTful API development & OpenAPI Specification (OAS)
• Java or Node.js / TypeScript
• Internal developer tooling & platform engineering
• Contract‑first API design

Nice‑to‑Have Skills

• CI/CD pipelines (GitLab preferred)
• API quality or compliance automation (e.g., Spectral)
• Client SDK generation (e.g., OpenAPI Generator, Kiota)
• API catalogs or developer portal platforms
• Policy‑based access control (PBAC) or similar enterprise authorization patterns
• Code generation tooling

Why This Role Matters

This position plays a critical role in scaling high‑quality API delivery across the organization. Your work will directly impact developer productivity, platform consistency, and governance—helping teams move faster while maintaining enterprise standards.

This position is well suited for someone early in their cybersecurity career who is eager to gain hands‑on experience in endpoint security operations and incident response.

Key Responsibilities

Endpoint Security Support & Maintenance

• Assist with the deployment, configuration, and ongoing support of antivirus, endpoint management, and DLP solutions
• Monitor dashboards and reports to ensure endpoint security tools are functioning properly
• Perform routine health checks, updates, and validations of security controls on endpoints

Incident Response & Troubleshooting

• Provide first‑ and second‑tier support for endpoint security incidents and alerts
• Investigate and resolve endpoint‑related security issues in a timely manner
• Collaborate with senior security staff to support incident investigation and remediation efforts
• Identify trends or recurring issues and escalate as appropriate

Documentation & Process Improvement

• Document incident resolution steps and contribute to knowledge base articles
• Assist in improving monitoring, ticket handling, and support processes
• Maintain accurate records within ticketing systems and internal documentation tools

Required Qualifications (Must Have)

• Experience providing Tier 1 and Tier 2 IT or security support
• Strong analytical and problem‑solving skills
• Basic understanding of endpoint security concepts
• Familiarity with incident response processes
• Ability to communicate clearly and collaborate effectively within a team

Preferred Qualifications (Nice to Have)

• Experience with the Atlassian Suite (Jira and Confluence)
• Exposure to tools or concepts related to:
  • Antivirus solutions
  • Data Loss Prevention (DLP)
  • Endpoint management platforms
• Relevant certifications such as CompTIA Security+, or similar (not required)

Education

• Associate’s degree in Information Technology, Cybersecurity, or a related field
• Equivalent practical experience will be considered in lieu of formal education

Additional Skills & Attributes

• Detail‑oriented with a strong sense of accountability
• Comfortable working in a fast‑paced, ticket‑driven environment
• Eagerness to learn and grow within the cybersecurity field

We are seeking a Workspace Analytics Lead to define and establish a clear, credible workspace measurement capability that supports space allocation, campus planning, and future workplace design decisions.

This role will focus on determining which workspace metrics truly matter, evaluating how well existing systems and data support those metrics, and delivering foundational dashboards along with a practical analytics roadmap. The goal is to enable leaders to make confident, evidence‑based decisions about space utilization and planning.

The role is anchored in an Integrated Workplace Management System (IWMS) as the system of record for space inventory and seat assignments, with additional inputs from workforce, presence, and occupancy data where appropriate.

This is a hands‑on, outcome‑focused, time‑bound contract role—not a long‑term system administration or platform ownership position.

Key Responsibilities

Workspace Metrics & Measurement Strategy

• Define a workspace metrics framework aligned to real business and campus planning decisions (e.g., seat supply reliability, capacity risk, space type performance)
• Establish clear metric definitions, assumptions, and calculation logic to ensure consistency and credibility across reporting
• Align metrics to the IWMS as the authoritative source for space inventory, space types, and seat assignments

Data & Tool Assessment

• Evaluate existing data sources and tools (e.g., IWMS, occupancy sensors, badge or presence data, workforce datasets) to assess what can be reliably measured today
• Identify data gaps, integrity issues, and dependencies that impact the usefulness of workspace analytics
• Recommend practical improvements and sequencing, prioritizing optimization of current systems before introducing new capabilities

Dashboards & Insights

• Deliver a small set of decision‑ready dashboards or analytical views that translate workspace data into clear, actionable insights
• Ensure outputs are designed to support space allocation, planning, and design discussions—not just reporting
• Partner with workspace strategy and design leaders to validate that insights are understandable, defensible, and usable

Roadmap & Capability Development

• Develop a 12–18 month workspace analytics roadmap that progresses from data integrity → baseline visibility → deeper insights
• Define what “good” looks like at each stage of maturity and outline expected deliverables
• Document standards, assumptions, and approaches so the capability can be sustained beyond the contract period

Required Experience 

• Demonstrated ability to define metrics and analytics roadmaps—not just produce reports
• Experience in workspace, real estate, facilities, or portfolio analytics
• Hands‑on experience working with CAFM / IWMS platforms (OpenBlue strongly preferred)
• Power BI and/or Tableau experience
• Strong analytical and communication skills with the ability to translate data into executive‑ready insights
• Ability to operate independently in a contract, outcome‑focused role

Nice to Have

• Experience with OpenBlue
• API‑based data integrations and advanced data modeling experience

What Success Looks Like

• Leaders are aligned on a shared, trusted set of workspace metrics and no longer relitigate data
• Workspace dashboards are actively used to inform space allocation and planning decisions
• IWMS data is aligned to defined standards for space inventory and seat assignments
• A clear, actionable roadmap exists for evolving workspace analytics over time

We are seeking a Design Operations & Special Projects Lead to serve as a strategic partner to senior Design Operations leadership during a critical period of transition and change.

As the organization moves from large‑scale campus initiatives into a steady‑state operating environment, this role will help ensure that design and workspace allocation functions operate with clarity, consistency, and resilience. While many core processes exist today, they are often informal, inconsistently applied, or dependent on individual institutional knowledge. At the same time, evolving ways of working are challenging traditional assumptions about how space is allocated, governed, and supported.

This role is focused on defining, documenting, and reshaping design and allocation processes so they are fit for the future—not simply preserving legacy practices. In parallel, the role will take on special projects as a trusted problem solver, independently addressing complex, ambiguous issues and delivering clear, actionable recommendations to leadership.

This is a senior, high‑autonomy role requiring strong judgment, analytical thinking, and comfort operating in environments where the future state is still taking shape.

Key Responsibilities

Design Operations & Process Definition

• Identify, document, and formalize core design and workspace allocation processes required for day‑to‑day operations, including:
  • Workspace allocation and reallocation
  • Design intake and prioritization
  • Design decision‑making, exceptions, and escalations
  • Handoffs between planning, design, and operations
• Translate institutional knowledge into clear, practical process documentation, decision frameworks, and playbooks
• Partner closely with Design Operations leadership to ensure processes reflect future‑state goals, not just historical practices

Process Evolution in an Ambiguous Environment

• Recognize and address how evolving business needs and new ways of working may require existing processes to be:
  • Stabilized
  • Refined
  • Replaced entirely
• Operate effectively in environments with emerging requirements and constraints, helping move the organization from ambiguity to workable operating models
• Surface trade‑offs, risks, and implications associated with different governance and process options

Allocation Governance & Decision Frameworks

• Support the refinement of allocation and design governance, including:
  • Roles and responsibilities
  • Decision rights
  • Escalation paths
  • Standards and guardrails
• Help ensure allocation and design decisions are consistent, defensible, and aligned with enterprise principles
• Develop reference materials and tools that enable teams to apply standards independently and reduce reliance on leadership intervention

Special Projects & Independent Problem Solving

• Serve as a special project lead for complex or loosely defined issues that extend beyond current team capacity or established processes
• Independently frame ambiguous problems and develop:
  • Clear problem definitions
  • Options with associated impacts and risks
  • Well‑reasoned recommendations
• Present concise, actionable proposals that leadership can confidently act upon
• Act as a trusted partner and “pressure release valve” for leadership when issues fall outside normal processes or norms

What Success Looks Like

• Core design and workspace allocation processes are clearly defined, documented, and consistently applied
• Teams operate with less dependency on individual institutional knowledge
• Leadership can confidently delegate complex, ambiguous issues knowing they will be thoughtfully analyzed and resolved
• Design Operations is positioned to adapt as workplace needs and ways of working continue to evolve

The team currently supports approximately 30 Tableau reports, with three high‑usage dashboards accounting for roughly 90% of report views by HR stakeholders. Data flows from SQL Server to Tableau Server and Tableau Desktop. The role will involve working with sensitive HR data in a secure, highly governed environment.

Key Responsibilities

• Provide timely support for ad hoc Tableau reporting requests submitted via Slack
• Analyze quantitative and qualitative data to identify patterns, insights, and trends that inform business decisions
• Develop, update, and maintain dashboards, reports, and forecasts that clearly tell a story through data
• Partner with business stakeholders to deliver actionable insights, recommendations, and analysis (written, verbal, and presentation‑based)
• Produce high‑quality, value‑driven analytics that support operational improvements, KPI tracking, and root cause analysis
• Apply data visualization and design best practices while incorporating provided design direction
• Support and enhance existing analytics products and reporting environments, including governance, documentation, and access controls
• Collaborate with cross‑functional partners and serve as a trusted, consultative advisor to business clients, including senior leaders
• Capture business requirements and contribute to KPI frameworks and analytical standards
• Leverage metrics and analytics to inform forecasts related to cost, risk, and performance
• Demonstrate adaptability, curiosity, and comfort working in ambiguous, fast‑moving environments

Environment & Tools

• Data sourced from SQL Server
• Tableau Server and Tableau Desktop (Creator license provided)
• Access provisioned through Active Directory groups (setup typically completed within 3 business days)
• Sensitive HR data handled in a secure and compliant environment

Qualifications

• Bachelor’s degree in Computer Science, MIS, Mathematics, Statistics, Business, or a related field
• 4–5+ years of professional experience in analytics or data‑related roles
• 3+ years of hands‑on analytics experience supporting business decision‑making
• 5+ years of progressively responsible experience in research, data analysis, reporting, or application development
• Strong expertise with analytical tools such as SQL, SAS, Excel, SPSS, R, or similar platforms
• Experience with data visualization tools such as Tableau or Power BI
• Proven ability to analyze data from multiple internal and external sources
• Ability to communicate insights clearly and effectively to both technical and non‑technical stakeholders
• Experience providing department‑level expertise and contributing analysis at an enterprise level

Ideal Candidate Profile

• Comfortable stepping into an established reporting environment with minimal ramp‑up
• Able to prioritize and respond quickly to urgent, ad hoc reporting needs
• Trusted communicator who partners effectively with business stakeholders
• Detail‑oriented, organized, and capable of managing sensitive data responsibly

This position requires exceptional attention to detail, strong organizational skills, and the ability to handle confidential information with care. The associate will collaborate closely with cross‑functional teams to resolve issues, manage exceptions, and support continuous process improvement.

Key Responsibilities

Document Verification & Assembly

• Verify shipping label details, including recipient information, policy numbers, and contract numbers, against internal records
• Accurately insert contracts into USPS envelopes according to established standards
• Securely affix shipping labels and perform quality checks to prevent mailing errors
• Ensure all documentation is complete, accurate, and compliant prior to distribution

Label Production & Data Validation

• Generate shipping labels using internal data management systems
• Confirm addresses and recipient names match system records
• Use automated tools to cross‑reference data across multiple databases

Field Requests & Exception Handling

• Process requests to release, hold, or destroy contracts per established guidelines
• Investigate and resolve scanning discrepancies and data mismatches
• Coordinate address verification and research needs with internal partners
• Escalate complex issues as needed and track resolutions

Returns Processing

• Document reasons for returned mail in tracking systems and spreadsheets
• Create shipping labels for rerouted, held, or returned contracts
• Identify trends in returned documents and recommend corrective actions

Organizational & Operational Support

• Sort and organize contracts by designated office or network groups
• Manage daily movement of document boxes to meet ship‑date requirements
• Set up and label new document storage boxes as needed
• Monitor inventory of mailing supplies and request replenishment

Additional Responsibilities

• Process policy modifications when required
• Maintain and restock USPS bins, folders, and related supplies
• Assist with training new or junior associates
• Participate in audits and compliance reviews

Qualifications

• High level of accuracy and strong attention to detail
• Proficiency with data entry and internal tracking systems
• Basic understanding of postal services and shipping procedures
• Strong organizational, multitasking, and problem‑solving skills
• Effective written and verbal communication skills
• Ability to work independently while contributing to team goals
• Comfortable using tools such as Microsoft Office (or similar software)

Education & Experience

• High school diploma or equivalent
• 1–2 years of experience in mail handling, document processing, or customer service
• Ability to prioritize work and meet deadlines in a fast‑paced environment
• Basic PC proficiency required
• Proven ability to work accurately with confidential information
• Strong teamwork and collaboration skills

Physical & Other Requirements

• Ability to lift and carry 15–20 pounds consistently
• Ability to multitask and navigate multiple systems simultaneously
• Position requires fingerprinting (non‑registered role)

This role requires strong experience with AWS, Python, Spark, SQL, modern data integration patterns, and DevOps methodologies, along with a passion for data quality, operational excellence, and production stability.

What You’ll Do

• Design, develop, deploy, and support cloud-based applications using established SDLC and CI/CD practices
• Troubleshoot and resolve technical issues during development and deployment
• Conduct thorough code reviews to ensure quality, security, and adherence to best practices
• Collaborate with engineers and stakeholders to align on technical approaches and architecture
• Contribute to system‑wide technical and architectural discussions
• Recommend improvements to development pipelines, tooling, and integration practices
• Ensure high standards of data quality, reliability, and operational performance

Required Qualifications

• Bachelor’s degree or equivalent practical experience
• 4+ years of professional experience working with AWS
• 4+ years of experience with modern engineering tools, languages, and development practices
• 2+ years of experience with data integration patterns and tooling, including:
  • ETL / ELT
  • Event streaming and real‑time processing
  • Replication and virtualization
• Strong coding experience in Python, Apache Spark, and SQL
• Experience working in Agile and DevOps environments
• Solid understanding of database concepts, data modeling, and data quality principles
• Experience with cloud-based development (PaaS/SaaS), containerization (Docker and/or Kubernetes), Infrastructure as Code, and Terraform
• Familiarity with centrally governed CI/CD pipelines
• Understanding of automated testing practices, including unit testing and Test‑Driven Development
• Strong communication skills with the ability to explain complex technical concepts to both technical and non‑technical audiences

Nice to Have

• Strong passion for operational excellence, ownership, and problem‑solving
• Experience delivering reliable, high‑performance production systems
• Ability to break down complex solutions into actionable work for agile teams
• Experience refining features, defining solutions, and driving continuous improvement initiatives
• 3–5 years of professional software development experience
• 3–5+ years working with AWS services such as Lambda and Kubernetes
• Proficiency in domain data modeling and API‑first design
• Proven track record of designing and delivering impactful technology solutions

We are seeking a Taxonomist / Metadata Specialist to serve as the lead subject matter expert for standardizing and governing metadata across HR content platforms and the core HR management system. This role plays a critical part in establishing a trusted, consistent data foundation that enables AI‑driven search, discovery, and intelligent HR experiences.

This is a hands‑on, execution‑focused role suited for a practitioner who can balance theory with delivery. You will design, implement, and operationalize metadata and taxonomy standards in a developing or greenfield environment, delivering production‑ready outcomes that improve content findability, reuse, and AI performance.

What You’ll Do

• Analyze existing metadata structures across HR systems and content platforms to identify gaps, overlaps, and inconsistencies
• Define and implement an enterprise‑ready metadata, taxonomy, and ontology strategy tailored to HR and AI use cases
• Develop and operationalize a sustainable metadata framework that supports AI‑driven search, retrieval, and future agentic experiences
• Establish metadata standards, governance processes, approval workflows, and operational rules to maintain integrity over time
• Partner with HR subject‑matter experts, content strategists, technology teams, and business stakeholders to align on metadata design
• Facilitate and/or lead co‑creation workshops to gather input, validate taxonomy models, and drive stakeholder adoption
• Consult with technology teams to ensure metadata aligns with AI infrastructure and platform capabilities
• Drive education, documentation, and best practices for tagging and metadata usage in partnership with change management teams
• Audit real content, search logs, and consumption data to continuously refine taxonomy and metadata models
• Serve as a single‑practitioner metadata and taxonomy lead, setting standards, templates, and repeatable processes

Required Skills & Qualifications

Must‑Have Skills

• Hands‑on experience developing and implementing taxonomies and metadata across enterprise platforms to improve search, reuse, and AI experiences
• Experience designing and operationalizing metadata governance, including standards, templates, workflows, and quality rules
• Strong stakeholder facilitation skills, with the ability to reconcile competing mental models into a shared framework
• Ability to work independently in a less‑mature or greenfield environment and deliver production‑ready outcomes

Minimum Qualifications

• Bachelor’s degree in information science, library science, semantics, ontology, or a related field (or equivalent experience)
• 2+ years of professional experience in taxonomy, metadata, ontology, or related disciplines
• Demonstrated experience supporting AI‑enabled or search‑driven experiences using structured metadata
• Hands‑on experience implementing metadata standards within CMS and/or enterprise search platforms
• Strong written and verbal communication skills, including the ability to influence without authority

Nice to Have

• Familiarity with knowledge graphs, graph databases, and semantic technologies
• Experience with metadata governance tools and platforms (e.g., Collibra, Informatica, Atlan)
• Understanding of data management fundamentals such as cataloging, lineage, and classification
• Experience using analytics (search logs, content audits, usage data) to optimize metadata models
• Exposure to enterprise HR systems, content management platforms, and search technologies

Key Deliverables

• A fully documented, HR‑wide standardized metadata framework
• Governance standards, workflows, and operational guidelines
• Training materials and stakeholder education sessions
• An HR ontology designed to support AI‑driven experiences
• Implementation roadmap for ongoing refinement and sustainability
• Technology advisory recommendations to support metadata standardization

Why This Role Matters

This role directly enables the future of intelligent HR experiences by ensuring the data and content foundations are AI‑ready, scalable, and trusted. You’ll have the opportunity to shape how HR knowledge is structured, discovered, and used—making a lasting impact across the organization.

The Workday Specialized Technical Consultant is a hands‑on individual contributor responsible for advanced configuration, optimization, and technical problem‑solving across Workday Talent & Performance and Core HCM modules. This role partners closely with HR Technology team members and business stakeholders to deliver scalable, high‑quality Workday solutions, with a strong focus on configuration excellence, data integrity, and system reliability.

This position is ideal for a seasoned Workday practitioner who enjoys deep functional configuration, translating business needs into sustainable technical solutions, and ensuring stability across releases and enhancements.

Key Responsibilities

• Configure and optimize Workday Talent, Performance, and HCM modules to meet evolving business needs while ensuring scalability, security, and system integrity
• Design and implement complex configuration changes with a strong understanding of upstream and downstream impacts across the Workday ecosystem
• Serve as a consultative partner to stakeholders, providing guidance on best‑practice configuration and solution design
• Execute and support quality assurance, unit testing, and regression testing for new functionality and enhancements
• Ensure all configuration changes comply with established governance, security, and technical standards
• Support deployment, stabilization, and post‑release activities associated with Workday releases and feature updates
• Create and maintain clear, detailed technical documentation for configurations, processes, and support procedures
• Contribute to shared documentation and knowledge resources to enable consistent delivery and cross‑team learning

Required Qualifications

• 5–8+ years of hands‑on experience supporting and configuring Workday, with deep expertise in Talent & Performance, including Skills functionality
• Proven ability to independently design, implement, and troubleshoot complex Workday configurations
• Strong understanding of HR talent processes, data structures, and functional dependencies within Workday
• High attention to detail with strong analytical and problem‑solving skills
• Passion for technical quality, system stability, and continuous improvement

Preferred Qualifications

• Experience with adjacent Workday modules such as Core HCM, Learning, or Reporting
• Experience supporting cross‑functional Workday solutions and enterprise‑scale deployments
• Strong written and verbal communication skills, with the ability to explain technical concepts to non‑technical partners
• Experience working within established governance, release, and change‑management frameworks

We are seeking an experienced Talent Acquisition Consultant to support one of our clients by partnering directly with hiring leaders and internal teams to deliver high‑quality hiring outcomes. This role operates as a trusted advisor embedded within the client’s organization, helping shape recruiting strategies, influence talent decisions, and ensure an exceptional candidate experience.

The Talent Acquisition Consultant will support either Corporate Functions or Product, Sales, and Services teams and will work closely with hiring managers, HR partners, and external suppliers to meet evolving workforce needs.

What You’ll Do

• Manage the full‑cycle recruiting process from intake through offer, with a strong emphasis on hiring manager partnership and candidate advocacy
• Consult with hiring managers to understand workforce needs, develop recruiting strategies, forecast hiring demand, and provide labor market insights
• Build and maintain strong candidate pipelines using advanced sourcing techniques, including LinkedIn, ATS/CRM tools, web searches, and Boolean search methods
• Deliver a high‑quality, consistent candidate experience throughout every stage of the hiring process
• Conduct interviews and assess candidates based on defined competencies, role requirements, and business needs
• Manage requisitions, approvals, candidate status, and reporting within the applicant tracking system and/or vendor management system
• Track recruiting metrics and use data to influence hiring decisions and contingent workforce spend
• Provide guidance to hiring managers on compensation, job market trends, and hiring best practices
• Promote inclusive hiring practices by encouraging diverse candidate slates and inclusive decision‑making
• Participate in cross‑functional, enterprise, or process‑improvement recruiting initiatives

Contingent Recruiting Responsibilities (as applicable)

• Facilitate supplier Q&A sessions related to open requisitions
• Review and screen contingent candidate profiles for skills, experience, and availability
• Coordinate and schedule interviews between hiring managers and suppliers
• Support onboarding, offboarding, extensions, transfers, and backfills while ensuring compliance with client policies
• Build and maintain strong, professional supplier relationships

What You Bring

• Bachelor’s degree or equivalent professional experience
• 5+ years of recruiting experience, including full‑cycle recruiting
• Proven ability to act as a consultative partner to hiring leaders
• Advanced sourcing and Boolean search expertise
• Experience working with applicant tracking systems and/or VMS platforms (VNDLY experience preferred)
• Strong organizational skills with the ability to manage multiple priorities in a fast‑paced environment
• Data‑driven mindset with experience using recruiting metrics and reporting
• Working knowledge of EEO and compliant hiring practices
• Proficiency in Microsoft Office tools

Why This Role

• Opportunity to work closely with a client as a strategic recruiting partner
• Exposure to enterprise‑level recruiting operations and decision‑making
• Collaborative team environment (teams of 4–6 recruiters)
• Meaningful impact on hiring quality, speed, and candidate experience
• Potential for long‑term engagement or conversion

We are seeking an experienced Business Analyst to support the execution of a People Content Optimization for AI program. This role operates as a hands‑on practitioner in information architecture, taxonomy, ontology, and content modeling, translating strategy into actionable discovery, analysis, and delivery.

You will play a critical role in shaping how People (HR) content is structured, labeled, related, and governed across platforms—ensuring content is findable, reusable, understandable, and ready to support AI‑powered search, assistants, and knowledge experiences.

This role partners closely with content strategy, digital experience, data, architecture, and enablement teams to establish clear, scalable, and AI‑ready knowledge structures.

What You’ll Do

Information Architecture & Discovery

• Plan and execute discovery activities to assess content structure, information hierarchy, metadata models, and semantic relationships across People platforms.
• Conduct information architecture audits, including navigation models, content grouping, labeling, and cross‑platform consistency.
• Analyze content relationships (e.g., policies → procedures → FAQs → tasks) to inform future‑state ontology and knowledge‑graph readiness.
• Identify high‑demand content, duplication, staleness, and usability issues using behavioral data, search logs, and support insights.
• Document privacy, security, and regulatory constraints that influence content structuring, access, and AI usage.

Taxonomy, Ontology & Content Modeling

• Inventory and evaluate existing taxonomies, controlled vocabularies, and tagging schemes.
• Design or refine taxonomies, metadata frameworks, and semantic relationships that improve findability and AI retrieval.
• Support ontology and knowledge‑modeling efforts that enable structured, connected, and AI‑ready content.
• Translate research findings into clear, actionable IA artifacts, including:
  • Content inventories and audits
  • Taxonomy and metadata gap analyses
  • Information hierarchy and navigation models
  • Discovery and synthesis reports

Collaboration & Delivery

• Partner with Content Strategy, Digital Experience, Data, Enablement Architecture, and platform teams to align content structure with technical capabilities.
• Help operationalize content standards for naming, classification, tagging, and reuse.
• Support adoption of shared terminology, controlled vocabularies, and governance models across AI initiatives.
• Track milestones, risks, and dependencies in partnership with project leadership.
• Escalate insights and recommendations to support prioritization and architectural decisions.

Success Looks Like

• High‑quality discovery and information architecture artifacts aligned to program standards.
• Clear visibility into current‑state content structure, hierarchy, and semantic gaps.
• Improved alignment between user intent, information hierarchy, and content organization.
• Strong cross‑functional alignment on terminology, taxonomy, and future‑state content models.
• Actionable inputs that accelerate planning and AI‑readiness decisions.

Required Qualifications

• 7–9 years of experience in information architecture, content strategy, knowledge management, digital experience, or HR technology roles.
• Demonstrated experience designing or evaluating:
  • Information hierarchies and navigation models
  • Taxonomies, controlled vocabularies, and metadata frameworks
  • Content classification and governance at scale
• Working knowledge of ontology concepts, semantic relationships, and how structured content supports AI retrieval, search, and assistants.
• Experience working within enterprise content ecosystems (e.g., HR help platforms, portals, or intranets).
• Ability to translate research and analysis into clear structural models and standards.
• Strong facilitation, synthesis, and stakeholder communication skills.

Must Have

• Information Architecture & Hierarchy Design
• Taxonomy & Controlled Vocabulary Design
• Ontology & Semantic Relationship Modeling
• Metadata Strategy & Content Modeling

Nice to Have

• Retrieval‑Augmented Generation (RAG 1.0 / 2.0) best practices
• AI agent or copilot knowledge‑center development
• Advanced understanding of enterprise collaboration platforms (e.g., content management, workflow automation, productivity ecosystems)