Product Data Specialist – CET Designer & Visualization Systems

HypTechie

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

HypTechie is looking for a skilled data management professional to develop, manage, and maintain accurate product data for its offerings. This role is crucial for enabling the specification and configuration of furniture products on various software platforms.

The successful candidate will ensure data integrity and collaborate with teams to support product development and spare parts catalog management, demonstrating strong analytical and problem-solving abilities.

Qualifications

  • 6+ years’ experience in data analysis and product data management.
  • Proven experience with PIM/PDM systems is mandatory.
  • Experience with scripting languages is strongly preferred.

Responsibilities

  • Develop, maintain, and manage data vocabulary for product offerings.
  • Ensure data accuracy and consistency across product options and pricing.
  • Collaborate with teams to process data for software platforms.

Skills

Data analysis
Product data creation
PIM/PDM systems
Scripting languages (MS Access, MS SQL)
Data version control
Strong problem-solving skills
Cross-functional team collaboration
Technical troubleshooting
Strong communication skills
Organizational skills

Education

Bachelor’s degree in Computer Science, IT, Mechanical, Civil or related field

Job description

The primary objective of this role is to develop, manage, and maintain accurate product data that reflects MillerKnoll’s offerings. This data enables the specification and configuration of our furniture products in software platforms such as CET Designer and pCon. The role involves managing, processing, and automating product data while ensuring accuracy and consistency prior to release for development and integration. This role is pivotal in supporting product development, spare parts catalog management, and visualization technologies, ensuring product data integrity across platforms.

Key Responsibilities
  • Develop, maintain, and manage data vocabulary content for MillerKnoll’s custom extensions.
  • Analyze changes to Herman Miller’s product vocabulary and evaluate impact on CET tools; make updates and test accordingly.
  • Ensure data accuracy and consistency across products, including options, pricing, and representation.
  • Build and maintain product vocabulary for 2D/3D visualization (models converted from CAD formats, bill of materials, texture materials, etc.).
  • Perform self-testing and validation of data before submission to QA for review.
  • Collaborate with internal teams to collect and process data for software platforms (CET Designer/pCon).
  • Work with legacy system teams to establish data exports and automated synchronization processes.
  • Provide first-level technical support via team support email/phone line for data-related issues.
  • Understand client/dealer requirements and communicate effectively at all stages of projects.
Skills & Requirements
  • Bachelor’s degree in Computer Science, Information Technology, Mechanical, Civil, or related field.
  • 6+ years’ experience in data analysis, product data creation, and manipulation.
  • Proven experience with PIM/PDM systems or similar product data management tools (mandatory).
  • Experience with scripting languages (MS Access, MS SQL, etc.) is strongly preferred.
  • Strong understanding of data version control best practices.
  • Analytical, detail-oriented, and strong problem-solving skills.
  • Ability to collaborate effectively with cross-functional teams (Product Owners, QA, Development).
  • Experience troubleshooting both technical and functional issues.
  • Highly organized, self-motivated, and able to meet product release cycle deadlines.
  • Strong written and verbal communication skills (English).
  • Willingness to work flexible shifts (12:00 PM – 9:00 PM IST).
Key Attributes for Success
  • Accuracy and quality in product data management.
  • Timely delivery of monthly release cycles.
  • Effective collaboration with multi-regional teams.
  • High internal and external stakeholder satisfaction.
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