Information Architect

HCLTech • Rahway, PA

9h

About The Position

The Information Architect/Data Modeler (Scientist SME) role focuses on developing and maintaining conceptual and logical information models for scientific and business domains within R&D and Development. This position involves translating requirements into information structures, defining standards, and ensuring data assets are reusable and scalable. The role also includes data exploration, assessment of data quality and usability, and collaborating with various stakeholders to ensure information needs are met. A strong scientific background is preferred, along with advanced analytical skills and the ability to work effectively across scientific, business, and technical teams.

Requirements

• Strong scientific background, preferably in Chemistry, Biology, or another scientific field related discipline
• Demonstrated advanced problem-solving and analytical skills.
• Experience working with or within IT teams in a collaborative environment.
• Strong communication skills, with the ability to work effectively across scientific, business, and technical audiences.
• Proven ability to manage ambiguity, think structurally, and learn new methods quickly.
• Strong attention to detail and commitment to quality.
• Ability and willingness to learn information architecture, data modeling, metadata, and data standards.

Responsibilities

• Develop and maintain conceptual and logical information models for scientific and business domains relevant to R&D and Development.
• Translate business, scientific, and operational requirements into clear information structures, definitions, and business rules.
• Support the definition and application of information architecture frameworks, standards, and best practices across relevant domains.
• Help ensure information assets are designed to be reusable, scalable, and aligned to business and scientific needs.
• Contribute to the creation and maintenance of data dictionaries, glossaries, naming standards, controlled vocabularies, and taxonomies.
• Profile and analyze source data to understand quality, completeness, context, and usability.
• Identify gaps, inconsistencies, missing metadata, and alignment issues across data sources.
• Assess the fitness of source data for intended use cases and downstream consumption.
• Summarize findings from data exploration and recommend pragmatic remediation or standardization actions.
• Support root-cause analysis of data quality and information consistency issues.
• Partner with scientists, subject matter experts, business stakeholders, and IT teams to understand workflows, priorities, and information needs.
• Work collaboratively with data engineers, architects, and platform teams to ensure models and standards are implementable.
• Facilitate workshops and review sessions to validate models, standards, and requirements.
• Communicate clearly with technical and non-technical audiences, including documentation of models, diagrams, findings, and recommendations.
• Act as a connector between scientific users and technical implementation teams.
• Contribute to the development and maintenance of information quality rules and governance-aligned standards.
• Support documentation and stewardship of information architecture deliverables.
• Help enable reuse through clear definitions, standards, and supporting guidance.
• Promote consistent application of FAIR principles and GxP-aware practices where relevant.
• Identify opportunities to improve tooling, methods, and ways of working related to information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed