Automation and Catalogue Specialist

Overview

The Automation and Catalogue Specialist combines catalogue master data expertise with process transformation, intelligent automation and value realization. The role builds a common, governed catalogue capability while identifying, shaping and delivering automation opportunities across the source-to-pay landscape.

What you'll do

• Own and improve article, service, supplier and commercial data that supports a consistent buying experience.
• Develop and maintain taxonomy, attributes, controlled vocabulary, standards, and cross-system mappings.
• Identify and assess process automation, AI and agentic AI opportunities using evidence from process performance, volumes, and pain points.
• Translate validated business needs into requirements, solution designs, test scenarios, implementation plans, and measurable outcomes with platform and technology teams.
• Build credible baselines and value cases, define benefit measures, track adoption and outcomes, and provide transparent reporting to support prioritization and investment decisions.
• Partner across category management, procurement operations, supply chain, suppliers, platform and technology teams to achieve sustainable adoption and resolve issues at source.
• 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.
• 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.
• Identify automation, AI, intelligent automation, and agentic AI opportunities through process analysis, stakeholder discovery, and operational data.
• Simplify and standardize processes before automation, remove avoidable complexity, and help define the target operating approach.
• Translate approved opportunities into clear business requirements, user stories, solution concepts, controls, test cases, implementation plans, and acceptance criteria.
• Partner with AI platform product owners, technology teams and business users through process design, testing, deployment, change management and stabilization.
• Perform structured root-cause analysis on catalogue and automation issues, then implement preventive and scalable improvements.
• Establish pre-implementation baselines using measures such as transaction volumes, handling effort, cycle time, cost, quality, compliance, exception rates and scalability.
• Identify and quantify value levers including productivity, cost avoidance, improved data quality, reduced rework, faster turnaround, increased automation coverage, improved user experience, and stronger process control.
• Develop evidence-based value cases setting out expected benefits, assumptions, dependencies, implementation costs, risks and measurement methods.
• Define benefit owners, KPIs, targets and measurement cadence with stakeholders before implementation, ensuring accountability for adoption and outcomes.
• Track realized benefits after go-live, compare results with the approved baseline and value case, identify benefit leakage, and coordinate corrective actions.
• Create concise dashboards and management insights covering delivery progress, adoption, operational performance, and realized value.
• Support adoption through use cases, walkthroughs, training inputs, communications and solution conversations.
• Manage dependencies, risks, decisions and issues across automation and catalogue initiatives, escalating clear options and recommendations.
• Promote best practice sharing and reusable solutions across functions, business units and locations.

What you'll need

• 3 to 6 years of relevant experience in catalogue or product information management, master data, procurement operations, process improvement, automation delivery, data governance or related field.
• Good understanding of source-to-pay processes, particularly requisitioning and purchasing, and of how master data quality affects process performance and user experience.
• Experience working with structured data, hierarchies, taxonomies, attributes, identifiers, pricing, and relationships between records held in different systems.
• Ability to analyze processes and operational data, establish baselines, identify value levers, and convert findings into prioritized improvement or automation opportunities.
• Experience translating business needs into requirements, solution designs, test scenarios, acceptance criteria, and implementation plans.
• Advanced Excel capability for large datasets, reconciliation, duplicate identification, gap analysis, and performance tracking.
• Working understanding of APIs, integrations and data flows, sufficient to collaborate effectively with technology and platform teams.
• Strong analytical judgement and structured problem solving, including the ability to design options for ambiguous or complex scenarios.
• Clear written and verbal communication, with confidence working across global business, technology, supplier and leadership stakeholders.
• Ability to work effectively in a fast-paced, changing and sometimes ambiguous environment while maintaining strong governance and attention to detail.

Nice to have

• SQL, Power BI, or similar tools for querying, modelling, visualization, and performance reporting.
• Exposure to enterprise procurement, catalogue, ERP, product information or workflow platforms.
• Hands-on familiarity with process automation, AI, intelligent automation, agentic AI or low-code solutions.
• Experience supporting data cleansing, system migration, catalogue onboarding or cross-business-unit harmonization programs.
• Experience developing business cases, tracking benefits, measuring adoption or reporting value realization after go-live.
• Knowledge of change management, controls, risk management, and operational governance in digital delivery.

Details

• Location: Mumbai, India.