Connected Marketing Operations

6 hours ago


Sion Maharashtra, India Capgemini Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

  • Data Quality Assurance: Develop, implement, and monitor data quality control processes for the DAM system to ensure the accuracy, completeness, and consistency of digital assets and related metadata.
  • Data Audits: Perform routine audits of digital assets and metadata to ensure compliance with internal standards and ensure that assets are correctly tagged, categorized, and stored.
  • Data Validation: Validate product and marketing data before it is uploaded into the DAM system, ensuring that it aligns with business rules and metadata guidelines.
  • Error Identification & Resolution: Identify and resolve data issues, discrepancies, or inconsistencies within the DAM system, collaborating with other teams as necessary to correct errors.
  • Metadata Management: Work with the DAM Manager to ensure the metadata standards are followed, helping to define and update tagging practices and taxonomy structures to ensure efficient asset retrieval.
  • Process Optimization: Identify opportunities to streamline and improve data management processes within the DAM system, suggesting improvements for data integrity and workflow efficiency.
  • Collaboration with Cross-Functional Teams: Work closely with marketing, creative, IT, and product teams to ensure that asset data is accurate, complete, and well-structured for use across campaigns and platforms.
  • Training & Support: Provide guidance and training to internal teams on maintaining data quality standards and best practices for using the DAM system.

Your Profile

  • Experience: 4-6 years of experience in data quality management, data governance, or digital asset management, with a focus on maintaining data accuracy and consistency across systems.
  • DAM System Knowledge: Experience working with DAM systems (e.g., Widen, Bynder, Adobe Experience Manager) and content management systems (CMS). Familiarity with metadata management and tagging best practices.
  • Attention to Detail: Exceptional attention to detail, with a strong ability to spot errors and inconsistencies in large datasets or digital assets.
  • Collaboration: Ability to work effectively with cross-functional teams, including marketing, creative, IT, and product teams, to resolve data issues and ensure alignment across the organization.
  • Process Improvement: Proven track record of optimizing data management processes, improving workflows, and implementing data quality initiatives.
  • Technical Proficiency: Familiarity with data validation tools, reporting platforms (e.g., Excel, Power BI), and basic SQL or query languages for managing and analyzing data.
  • Education: Bachelor's degree in Business Administration, Information Technology, Data Science, Marketing, or a related field (or equivalent experience

At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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