MDM Customer Architect

Lead MDM & PIM Solution Architecture 

• Act as the primary architect for MDM 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 solutions as a cornerstone for reliable analytics and AI model performance. 
  

• Ensure MDM 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 MDM, ensuring alignment to governance and AI-readiness requirements. 
  

• Mentor junior consultants and technical teams in MDM, 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.
  

• Perform complex development and configuration
  

• Perform match tuning exercises with clients
  

Enhance Data Quality & AI Readiness 

• Design MDM 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 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.
  

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  

• Extensive experience architecting, configuring, and deploying MDM solutions with Informatica IDMC.
  

• 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 party and location domains data, with the ability to model these for both operational and analytics uses cases
  

• Extensive experience integrating with leading CRM and ERP solutions
  

• Experience intergrating with leading DaaS platforms
  

• 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.