MDM Architect

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

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

This position is ideal for a technically
skilled professional passionate about empowering organizations through
strategic data solutions, mentoring teams, and directly shaping enterprise
readiness for transformational goals like AI-driven automation and analytics
excellence.

What You’ll Do

Client Advisory and Leadership

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

Lead MDM & PIM Solution Architecture

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

Implementation & Team Enablement

• Oversee
  the successful configuration and deployment of leading MDM/PIM systems (e.g., Informatica,
  Stibo, Reltio, Syndigo), ensuring alignment to governance and AI-readiness
  requirements.
  
• Mentor
  junior consultants and technical teams in MDM/PIM methodologies, focusing on
  embedding data quality processes to support both operational success and
  AI-driven decision-making.
  
• Deliver
  high-quality technical documentation, including architecture diagrams,
  governance processes, and user guidelines that enable clients to maintain
  clean, usable data.
  
• Collaborate
  with quality assurance teams to build rigorous solution testing frameworks,
  ensuring outputs meet metadata, data integration, and quality standards
  necessary for decision-making and AI workflows.
  

Enhance Data Quality & AI Readiness

• Design
  MDM/PIM workflows and governance structures that embed data quality checks,
  validation rules, and stewardship processes into enterprise data pipelines.
  
• Enable
  dynamic lineage tracking and metadata management that ensures enterprise data
  is fully traceable, reliable, and ready for consumption by analytics and AI
  platforms.
  
• Lead
  post-implementation evaluations to identify opportunities to further enhance
  governance, quality, and AI-readiness of MDM/PIM systems.
  
• Actively
  promote a data-first, AI-ready mindset within client organizations,
  highlighting the importance of high-quality data as the foundation for advanced
  analytics and machine learning initiatives.
  

Requirements

Required Qualifications

• Bachelor’s
  degree in Computer Science, Information Systems, Engineering, or a related
  field.
  
• Extensive experience architecting,
  configuring, and deploying MDM/PIM solutions with platforms such as Informatica
  IDMC, Stibo, Reltio, or Syndigo.
  
• Deep
  knowledge of data modeling (conceptual, logical, and physical) for domains such
  as Customer, Product, Vendor, or Location, with a focus on creating
  high-quality, AI-ready data foundations.
  
• Working
  knowledge of product and material domain data — including item master
  structures, specifications, classifications, and attribution — with the ability
  to model these for both operational and analytics use cases.
  
• Understanding
  of the end-to-end product lifecycle (from creation and specification through
  sourcing, publishing, and retirement) and how MDM/PIM governance supports each
  stage.
  
• Solid
  background in building integration solutions (ETL, API, real-time) to connect
  MDM hubs with operational systems, analytics platforms, and AI pipelines.
  
• Proficiency
  with modern data platforms and engineering tools, including Snowflake,
  Databricks, Azure, AWS, or SQL, with a focus on supporting end-to-end data
  quality and AI-readiness capabilities.
  
• Strong
  communication skills to translate technical designs into actionable business
  outcomes and demonstrate the value of MDM/PIM solutions in driving
  organizational transformation.
  
• Consulting
  experience with demonstrated ability to manage client relationships and lead
  engagements from strategy through implementation.
  

Benefits