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Automation and Catalogue Specialist
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Consulting Strategy
💰 Salary Not shared
📊 Market ₹60,000–₹120,000/mo (₹720,000–₹1,440,000/yr)
About the Company
Lovable is a platform that lets you build apps and websites by chatting with AI. We are a small European team of serial founders, product engineers, physicists, competitive programmers and people who just care about building a great product quickly. We're on a mission to build the last piece of software that the world will ever need. Software Development Specialties: Software Development, AI, AI code generation, Software Engineering, Vibe coding
Responsibilities
- ● connected and ready for use, while partnering with business, platform and technology stakeholders to simplify processes, translate opportunities into scalable digital solutions, and demonstrate measurable business outcomes from implementation through adoption and benefit tracking.
- ● What you will be accountable for
- ● Catalogue foundation. Own and improve the article, service, supplier and commercial data that supports a consistent buying experience.
- ● Shared data language. Develop and maintain taxonomy, attributes, controlled vocabulary, standards, and cross-system mappings.
- ● Automation opportunity pipeline. Identify and assess process automation, AI and agentic AI opportunities using evidence from process performance, volumes, and pain points.
- ● Solution delivery. Translate validated business needs into requirements, solution designs, test scenarios, implementation plans, and measurable outcomes with platform and technology teams.
- ● Value-realization. Build credible baselines and value cases, define benefit measures, track adoption and outcomes, and provide transparent reporting to support prioritization and investment decisions.
- ● Stakeholder outcomes. Partner across category management, procurement operations, supply chain, suppliers, platform and technology teams to achieve sustainable adoption and resolve issues at source.
- ● Catalogue master data and lifecycle management
- ● Create, validate, enrich, publish, modify and retire catalogue records, including base item and variant relationships, descriptions, units of measure, pack sizes, validity periods, pricing and lifecycle status.
- ● Classify content against the agreed taxonomy and attribute model, resolving classification questions and exceptions with category and business stakeholders.
- ● Maintain traceable mappings between catalogue objects and identifiers used in ERP, purchasing and other connected systems across business units and entities.
- ● Coordinate supplier catalogue onboarding from submission guidance and validation through reconciliation, upload, publication and ongoing maintenance.
- ● Data governance, quality and connectivity
- ● Define and maintain master data terminology, standards, validation rules, attributes, permissible values, ownership, validity and change history.
- ● Apply and improve data-quality controls, monitor exceptions and recurring error patterns, coordinate remediation and report the health of catalogue data.
- ● Work with technology teams on catalogue integrations and data exchange, including API-based connectivity, requirements, test scenarios, and validation.
- ● Design practical approaches for complex data scenarios where current system capability is limited, balancing control, usability, and scalability.
- ● Automation, AI and process transformation
- ● Identify automation, AI, intelligent automation, and agentic AI opportunities through process analysis, stakeholder discovery, and operational data.
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