MDM Architect
Dublin, Franklin County, Ohio, 43016, USA
Listed on 2026-01-02
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IT/Tech
Data Engineer
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.
This is a remote position.
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 that enhance product data, customer data, media asset management, and compliance.
- Drive educational conversations around the role of MDM and PIM in enabling future‑proof data strategies that align with analytics and AI ambitions.
- 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.
- 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…
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