Jobs · Ohio

MDM Architect

Infoverity · Dublin, OH · 3 wk ago
Full-time
We need to output HTML fragment with sections: About the role? Actually the posting includes "About Us" then "Job Description". We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use

for section headings. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate: cookie/navigation/legal/EEO/scam-warning etc. Also remove "Beware of Scam Interview Requests" and "Powered by JazzHR". Also remove "BenefitsTo read more about working at Infoverity, please visit: Employee Benefits - USA - Infoverity" maybe that's a link; we can keep benefits if there is actual content. The posting includes a Benefits line but just a link; no actual benefit details. According to rules: never create Benefits section unless posting actually states them. It only says "BenefitsTo read more about working at Infoverity, please visit: Employee Benefits - USA - Infoverity". That's not specific benefit details, just a pointer. Likely we should not include Benefits section because no specific benefits listed. Similarly Pay and Schedule not present. So we may have sections: About the role (maybe from About Us?), Responsibilities (What You'll Do), Requirements (Required Qualifications). Possibly also Qualifications? The posting has "Required Qualifications". Could treat that as Qualifications. Also maybe Skills? The posting includes skills within requirements. Could combine. But we need to follow headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include only those with content. We have About Us content: description of company. That could be "About the role"? Actually About the role is about the job, not company. But we have no explicit "About the role" section; we have "Job Description" intro. Could treat that as About the role. The intro: "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." That's about the role. So we can put that in About the role section. Responsibilities: "What You’ll Do" bullet points (though they are paragraphs with sentences). We'll need to convert to
  • for any list of duties/requirements/benefits. The content is paragraph style but we can split into list items per sentence? The rule: Use
    • for any list of duties/requirements/benefits. The posting has bullet-like sentences but not explicit list. We could still wrap each duty as
    • . Probably acceptable. Requirements: The "Required Qualifications" list. We'll output as
      • . Qualifications: maybe duplicate? Could treat "Required Qualifications" as Qualifications. But we already used Requirements for that. Could also have Skills section separate: maybe extract skills like "Strong communication skills", "Consulting experience". But those are within requirements. Might be better to have Requirements for the bullet list, and Skills for soft skills. However we must not invent sections if content is thin. Let's see: The posting includes: "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." That's more like skills. Could put under Skills. We also have "Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field." etc. That's qualifications. Thus we can have:

        About the role

        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 **

        But note we must not include the asterisks? The posting includes ** This role can be done remote/hybrid. Relocation to Dublin, OH, is not required **. That's a note about remote/hybrid. It's substantive. We should keep it but maybe remove markdown asterisks. We'll just include as plain text. Responsibilities: We'll take the "What You’ll Do" section. It contains multiple paragraphs each starting with a bold heading? Actually it's: **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. We need to turn each of these into list items. Could group each bold heading as a list item with its sentences. We'll produce
        • for each duty. Requirements: The "Required Qualifications" block includes multiple sentences each starting with a capital letter. We'll split into list items. Skills: maybe extract "Strong communication skills..." and "Consulting experience..." as list items. We must not include Benefits, Pay, Schedule sections because no specific content. We must not include boilerplate like "Beware of Scam Interview Requests", "Powered by JazzHR", "BenefitsTo read more about working at Infoverity, please visit: Employee Benefits - USA - Infoverity". Also remove "Infoverity’s global headquarters is in Dublin, Ohio..." etc? That's part of About Us but we already used About the role; we might keep some company info in About the role? Actually About the role should be about the role, not company. But we have no separate About Us section heading allowed. Could we include About the role as company overview? The instruction: "use

          for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". So About the role is expected to be about the role, not company. But we have no explicit About the role content besides the job description intro. The "About Us" is company info; maybe we could treat that as About the role? It's not ideal but maybe acceptable. However we could also omit About the role section if we lack specific content? But we have the intro paragraph that describes the role. That's enough. Thus we will not include the company details like headquarters etc. They are not part of role description; they are company info. Should we include them? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we must keep all substantive info, including company details. But we have no heading for company info; we could incorporate it into About the role section as a brief overview. That would preserve it. So we can add company info after the role description. Thus About the role paragraph will include both role description and company overview. Now we need to ensure we don't repeat job title (Architect). Not needed. Now produce HTML fragment. Let's craft:

          About the role

          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. 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.

          Now Responsibilities:

          Responsibilities

          • 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

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