MDM Architect

Infoverity is seeking an experienced andvisionary Architect to lead the design, architecture, and technical delivery ofhigh-quality Master Data Management (MDM) and Product Information Management(PIM) solutions. In this role, you will craft scalable, enterprise-gradesolutions that ensure data quality, governance, and integration acrossenterprise systems, empowering clients to unlock the potential of trusted datafor advanced analytics and AI-driven innovations.

As organizations increasingly rely on clean,high-quality data to support digital transformation and AI adoption, yourexpertise will ensure MDM/PIM platforms create the foundation for AI-ready dataecosystems. You will integrate these solutions seamlessly with broader cloudplatforms, data lakes, and analytics architectures, enabling reliable datasetsthat are primed for AI and machine learning initiatives.

This position is ideal for a technicallyskilled professional passionate about empowering organizations throughstrategic data solutions, mentoring teams, and directly shaping enterprisereadiness for transformational goals like AI-driven automation and analyticsexcellence.

What You’ll Do

Client Advisory and Leadership

• Partnerwith clients to analyze business challenges, define technical requirements, andcraft solution blueprints that address key goals such as improving data qualityfor operational efficiency and preparing datasets for AI use cases.
• Guideclients through the design of workflows and governance processes while driving educationalconversations around the role of MDM and PIM in enabling future-proof datastrategies that align with analytics and AI ambitions.

Lead MDM & PIM Solution Architecture

• Actas the primary architect for MDM and PIM solutions, designing scalable datamodels, workflows, hierarchy configurations, and matching/merging schemas toalign with business objectives and ensure high-quality, AI-ready data.
• Developarchitecture patterns and best practices that ensure the accuracy,completeness, and consistency of enterprise data, positioning MDM/PIM solutionsas a cornerstone for reliable analytics and AI model performance.
• EnsureMDM/PIM architectures align with modern data strategies, seamlessly integratingwith cloud data platforms (e.g., Snowflake, Databricks) and enabling clean,structured data pipelines for advanced analytics and AI development.

Implementation & Team Enablement

• Overseethe successful configuration and deployment of leading MDM/PIM systems (e.g., Informatica,Stibo, Reltio, Syndigo), ensuring alignment to governance and AI-readinessrequirements.
• Mentorjunior consultants and technical teams in MDM/PIM methodologies, focusing onembedding data quality processes to support both operational success andAI-driven decision-making.
• Deliverhigh-quality technical documentation, including architecture diagrams,governance processes, and user guidelines that enable clients to maintainclean, usable data.
• Collaboratewith quality assurance teams to build rigorous solution testing frameworks,ensuring outputs meet metadata, data integration, and quality standardsnecessary for decision-making and AI workflows.

Enhance Data Quality & AI Readiness

• DesignMDM/PIM workflows and governance structures that embed data quality checks,validation rules, and stewardship processes into enterprise data pipelines.
• Enabledynamic lineage tracking and metadata management that ensures enterprise datais fully traceable, reliable, and ready for consumption by analytics and AIplatforms.
• Leadpost-implementation evaluations to identify opportunities to further enhancegovernance, quality, and AI-readiness of MDM/PIM systems.
• Activelypromote a data-first, AI-ready mindset within client organizations,highlighting the importance of high-quality data as the foundation for advancedanalytics and machine learning initiatives.

Requirements

Required Qualifications

• Bachelor’sdegree in Computer Science, Information Systems, Engineering, or a relatedfield.
• Extensive experience architecting,configuring, and deploying MDM/PIM solutions with platforms such as InformaticaIDMC, Stibo, Reltio, or Syndigo.
• Deepknowledge of data modeling (conceptual, logical, and physical) for domains suchas Customer, Product, Vendor, or Location, with a focus on creatinghigh-quality, AI-ready data foundations.
• Workingknowledge of product and material domain data — including item masterstructures, specifications, classifications, and attribution — with the abilityto model these for both operational and analytics use cases.
• Understandingof the end-to-end product lifecycle (from creation and specification throughsourcing, publishing, and retirement) and how MDM/PIM governance supports eachstage.
• Solidbackground in building integration solutions (ETL, API, real-time) to connectMDM hubs with operational systems, analytics platforms, and AI pipelines.
• Proficiencywith modern data platforms and engineering tools, including Snowflake,Databricks, Azure, AWS, or SQL, with a focus on supporting end-to-end dataquality and AI-readiness capabilities.
• Strongcommunication skills to translate technical designs into actionable businessoutcomes and demonstrate the value of MDM/PIM solutions in drivingorganizational transformation.
• Consultingexperience with demonstrated ability to manage client relationships and leadengagements from strategy through implementation.

Benefits