MDM Product Architect

Infoverity•Columbus, OH

About The Position

The MDM Product Architect serves as the primary architect for Master Data Management (MDM) and Product Information Management (PIM) solutions, advising clients and designing scalable architectures that support business goals, data quality, analytics, and AI readiness. The role partners with clients to assess business challenges, establish technical requirements, and develop solution blueprints, while guiding the design of workflows and governance processes. The architect develops data models, workflows, hierarchy configurations, matching and merging schemas, integration patterns, and best practices. They oversee configuration and deployment of MDM/PIM platforms, align solutions with cloud data platforms and enterprise data strategies, and ensure data is accurate, complete, consistent, traceable, and usable for operational and analytical purposes. The position also mentors junior consultants and technical teams, produces technical documentation, collaborates with quality assurance teams on testing frameworks, and leads post-implementation evaluations. It promotes a data-first, AI-ready approach and helps clients use high-quality governed data to support analytics and machine-learning initiatives.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
Extensive experience architecting, configuring, and deploying MDM/PIM solutions using platforms such as Informatica IDMC, Stibo, Reltio, or Syndigo.
Deep knowledge of conceptual, logical, and physical data modeling for domains such as Customer, Product, Vendor, or Location.
Working knowledge of product and material domain data, including item master structures, specifications, classifications, and attribution.
Understanding of the end-to-end product lifecycle, from creation and specification through sourcing, publishing, and retirement.
Background building ETL, API, and real-time integration solutions connecting 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 and ability to translate technical designs into actionable business outcomes.
Consulting experience, including demonstrated ability to manage client relationships and lead engagements from strategy through implementation.

Responsibilities

Partner with clients to analyze business challenges, define technical requirements, and create solution blueprints.
Guide clients in designing workflows and governance processes and explain how MDM and PIM support future-proof data strategies.
Act as the primary architect for MDM and PIM solutions, designing scalable data models, workflows, hierarchy configurations, and matching and merging schemas.
Develop architecture patterns and best practices that support accurate, complete, consistent, and AI-ready enterprise data.
Align MDM/PIM architectures with modern data strategies and integrate them with cloud data platforms such as Snowflake and Databricks.
Oversee configuration and deployment of MDM/PIM systems, ensuring alignment with governance and AI-readiness requirements.
Mentor junior consultants and technical teams in MDM/PIM methodologies and data quality practices.
Create technical documentation, including architecture diagrams, governance processes, and user guidelines.
Collaborate with quality assurance teams to develop solution testing frameworks that meet metadata, integration, and data quality standards.
Design workflows and governance structures that embed data quality checks, validation rules, and stewardship processes in enterprise data pipelines.
Enable lineage tracking and metadata management so enterprise data is traceable and reliable.
Lead post-implementation evaluations and identify opportunities to improve governance, data quality, and AI readiness.
Promote a data-first, AI-ready mindset within client organizations.