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.

** This role can be done remote/hybrid. Relocation to Dublin, OH, is not required **

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

To read more about working at Infoverity, please visit: Employee Benefits - USA - Infoverity

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