MDM Architect

Infoverity, Inc.; Dublin (OH); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Infoverity, Inc. is seeking an experienced Architect to lead the design, architecture, and delivery of MDM and PIM solutions. You will craft scalable, enterprise-grade data platforms, ensuring data quality, governance, and integration that empower AI-ready data ecosystems.

You will mentor teams, work with cloud platforms, and guide clients from strategy through implementation to unlock data value and analytics excellence.

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 for domains such as Customer, Product, Vendor, or Location, with a focus on creating AI-ready data foundations.
• Understanding of the end-to-end product lifecycle 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.
• Strong communication skills to translate technical designs into actionable business outcomes.
• Consulting experience with demonstrated ability to manage client relationships and lead engagements from strategy through implementation.

Responsibilities

• Client Advisory and Leadership: analyze business challenges, define requirements, and craft blueprints addressing goals like data quality and AI use cases.
• Implementation & Team Enablement: oversee configuration and deployment of MDM/PIM systems and mentor teams.
• Enhance Data Quality & AI Readiness: design governance structures and data quality checks for AI-ready pipelines.
• Lead engagements from strategy through implementation and promote a data-first mindset within client organizations.

Skills

MDM

PIM

Architecture design

Data governance

Data quality

Client advisory

Mentoring

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Informatica IDMC

Stibo

Reltio

Syndigo

Snowflake

Databricks

Azure

AWS

SQL

Job description

Dublin, United States | Posted on 07/20/2026

Infoverity is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, Infoverity provides complementary services for many digital initiatives, including MDM and PIM Strategy and Implementation, Data Governance and Analytics, Content Management, Data Integration, Enterprise Hosting, and Operational Services that help large enterprises in the retail, consumer goods, manufacturing, financial and healthcare sectors simplify and maximize the value of their information. Infoverity, a 100% employee-owned company, has been on the Inc. 5000, recognized by IDG’s Computerworld as one of the Best Places to Work in IT, as a Wonderful Workplace for Young Professionals and as a “Best Place to Work” by Inc. Magazine and Business First. Infoverity’s global headquarters is in Dublin, Ohio. The EMEA headquarters and Global Development Center is in Valencia, Spain. Additional offices are located in Germany and India.

Job Description

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.

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

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.
• 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 domainssuchas 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.