Product Data Manager

7 - 10 years

8 - 10 Lacs

Posted:1 month ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Summary:

E-Commerce Manager

Key Responsibilities:

1. E-Commerce Architecture & Strategy:

  • Define and implement 

    scalable, high-performance

     e-commerce architectures to support business growth.
  • Collaborate with stakeholders (IT, marketing, operations, product managers) to define the 

    product data strategy

     aligned with business goals.
  • Ensure 

    integration of e-commerce platforms

     with Product Information Management (PIM), ERP, CMS, DAM, and other business systems.
  • Provide 

    technical leadership

     for e-commerce system design, including data modeling, APIs, and automation workflows.

2. Product Data Management (PDM):

  • Design and manage 

    centralized PIM (Product Information Management)

     solutions for structured and unstructured product data.
  • Define and enforce 

    product data governance

    , taxonomy, and data quality standards across multiple channels.
  • Establish best practices for 

    product catalog management

    , including SKU creation, categorization, and attributes mapping.
  • Ensure seamless 

    omnichannel data consistency

     across marketplaces, websites, mobile apps, and other sales channels.

3. Product Data Automation (PDA):

  • Develop and implement 

    automation solutions

     for product data ingestion, validation, enrichment, and syndication.
  • Leverage AI/ML and rule-based engines to automate 

    product classification, tagging, image recognition, and metadata generation

    .
  • Design 

    APIs and data pipelines

     to connect PIM, ERP, e-commerce platforms, and third-party data sources.
  • Optimize 

    bulk data processing workflows

     for large-scale product catalogs.

4. Systems Integration & API Management:

  • Define 

    data exchange protocols

     between PIM, e-commerce platforms (Magento, Shopify, SAP Commerce Cloud, etc.), and external partners.
  • Ensure seamless integration of 

    third-party tools, marketplaces (Amazon, eBay, Walmart, etc.), and pricing engines

    .
  • Implement 

    real-time data synchronization

     between different systems and platforms.

5. Performance Optimization & Scalability:

  • Design 

    scalable and resilient

     product data solutions to handle large catalogs and high traffic.
  • Optimize 

    database performance

    , indexing, and caching for improved data retrieval speed.
  • Implement 

    cloud-based architectures (AWS, Azure, GCP)

     to enhance performance and reliability.

6. Security & Compliance:

  • Ensure compliance with 

    data privacy regulations (GDPR, CCPA, etc.)

     for handling customer and product data.
  • Implement 

    role-based access control (RBAC)

     for product data workflows.
  • Secure APIs and data transfers to prevent data leaks and unauthorized access.

7. Stakeholder Collaboration & Leadership:

  • Act as a 

    technical advisor

     to business and IT teams for e-commerce and product data solutions.
  • Work closely with 

    data engineers, developers, UX/UI designers, and business analysts

     to deliver seamless solutions.
  • Train and mentor teams on 

    best practices for product data management and automation

    .

Required Qualifications & Skills:

Technical Skills:

  • E-Commerce Platforms:

    Expertise in 

    Magento, Shopify Plus, SAP Commerce Cloud, BigCommerce, Salesforce Commerce Cloud

    , or similar.
  • PIM Systems:

     Hands-on experience with 

    Akeneo, Salsify, Informatica PIM, Stibo Systems, or inRiver PIM

    .
  • Automation & Scripting:

     Experience with 

    Python, Java, JavaScript, or SQL

     for automation.
  • APIs & Integration:

     Strong knowledge of 

    RESTful APIs, GraphQL, middleware (Mulesoft, Dell Boomi, Workato), and ETL pipelines

    .
  • Cloud & DevOps:

     Familiarity with 

    AWS, Azure, GCP, Kubernetes, CI/CD pipelines

    .
  • Data Handling:

     Experience in 

    data modeling, transformation (ETL/ELT), and schema design

    .
  • Machine Learning & AI (Preferred):

     Understanding of 

    AI/ML for product data automation, NLP, and image recognition

    .

Soft Skills:

  • Strong problem-solving and analytical skills

     to troubleshoot complex e-commerce and product data challenges.
  • Excellent communication and stakeholder management skills

     to bridge technical and business teams.
  • Strategic thinking and innovation mindset

     to drive automation and efficiency.
  • Ability to work in an agile environment

     and adapt to changing business needs.

Experience:

  • 7+ years

     of experience in 

    e-commerce architecture, product data management, and automation

    .
  • Hands-on experience with PIM, API integrations, and e-commerce platforms

     is a must.
  • Experience with large-scale, multi-channel product catalogs and marketplaces

     is highly desirable.

Preferred Certifications (Optional but Beneficial):

  • Magento/SAP Commerce/Shopify Plus Architect Certification
  • PIM (Akeneo, Salsify, Stibo) Certification
  • AWS/Azure Cloud Architect Certification

Location & Work Mode:

  • Remote / Hybrid / On-site (as per company policy)
  • Travel may be required for stakeholder meetings and system integrations.

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