Information Architect

As an Information Architect at Pivotree, you design the structural frameworks that organise

product data, content, and metadata into systems that are intuitive to navigate and easy to

maintain at scale. You bridge content strategy, taxonomy design, and technical

implementation, and you apply AI tools to accelerate structural analysis while ensuring every

information architecture genuinely serves how users search and think.

Product data is our immediate need and the core of this role. You will lead the architecture on

client engagements, directing the data specialists who support the work and partnering with

Business Analysts and Solution Architects to turn your designs into working configurations.

As the group expands into other data domains, there will be room to grow with it.

Responsibilities

● Design information architecture for client catalog, content, and data management

solutions: taxonomies, schemas, navigation structures, and metadata frameworks.

● Lead discovery sessions with clients to understand how their users search for and

navigate product information.

● Lead taxonomy, schema, and SKU enrichment efforts, directing the data specialists

who support delivery.

● Apply AI-assisted analysis to identify structural patterns in existing content and

metadata; validate every structural recommendation with domain expertise before

implementation.

● Partner with Business Analysts and Solution Architects to translate information

architecture designs into technical PIM/MDM configurations.

● Use AI tools to accelerate taxonomy and schema documentation; review and validate all

AI-generated structures before client presentation.

● Define content governance standards: naming conventions, attribute definitions, and

metadata quality rules.

● Conduct information architecture audits for existing client systems, identifying

structural gaps, data quality issues, and improvement opportunities.

● Design search and navigation optimisation strategies based on user behaviour and

content structure analysis.

● Collaborate with UX and content teams to ensure information architecture translates

into intuitive user experiences.

● Mentor Business Analysts and Data Analysts on taxonomy and structural design

Principles.

What Good Looks Like

COMPETENCY IN PRACTICE

Analysis Studies how users actually search for and navigate information before proposing a

structure. Uses AI-assisted pattern analysis to accelerate this, but validates every

conclusion with domain expertise.

Customer Orientation Designs information architecture around

how end users think and search, not how the business happens to organise its internal data. Decisiveness Makes clear taxonomy and structural decisions backed by evidence, not endless stakeholder debate.

Organizing Work Manages information architecture design across multiple concurrent client engagements with clear documentation. Working with Others Partners effectively with Business Analysts, Solution Architects, and UX teams, and directs distributed delivery support.

Developing Others Mentors Business Analysts and Data Analysts on taxonomy and structural

design principles. Initiative Identifies structural improvement opportunities proactively during audits and discovery.

AI-First Mindset Uses AI tools to accelerate structural

pattern analysis and taxonomy documentation. Validates every AI-generated information structure with domain expertise before it shapes a client's catalog or content system.

Skills and Competencies

● 8 to 11 years of information architecture, content strategy, or taxonomy design

experience, with a strong foundation in product data.

● Deep understanding of how users search for and navigate structured information.

● Strong client-facing discovery and facilitation skills.

● Uses AI-assisted structural analysis tools to accelerate taxonomy design; validates all

outputs with domain expertise before implementation.

Technical Skills

Taxonomy and metadata design

Expert in structured metadata frameworks for large-scale catalog

and content systems. PIM/MDM platforms

Working knowledge of Stibo STEP, Akeneo, or equivalent for

translating architecture into configuration.

AI-assisted analysis Uses AI tools to identify structural patterns and accelerate

taxonomy documentation; validates all outputs before use.

Search and navigation

Understands search optimisation principles and how information

structure affects findability