7 Unspsc Jobs

As a CAD Engineer in the Finance Department at our organization, your primary responsibility will be to modify 2D drawings and 3D models of engineering and manufacturing designs using CAD software. You will ensure that all modifications are made in accordance with the industry standards associated with assets and projects across the organization globally. Your role will involve calculating dimensions and physical components of the design to ensure the technical drawings are accurately scaled according to industry standards. You will collaborate with engineering disciplines to review and approve modifications before finalizing 2D drawings and 3D models. Additionally, you will be responsible for assessing the quality of engineering data, documents, and models, proposing corrections to enhance the integrity of designs associated with assets and projects worldwide. You will implement effective controls for internal delegation, audit, and quality control based on engineering standards and procedures. Your duties will also include managing risks related to engineering data, documents, and models, as well as contributing to reports on the status of quality and performance criteria. Furthermore, you will play a key role in continuously improving engineering data, document, and model standards, tools, systems, and processes. To be successful in this role, you must have a Bachelor's degree in engineering, preferably in Mechanical, Electrical, or Electrical Instrumentation, along with at least 5 years of experience in document control and engineering data management. Experience in managing client-service functions, process management, and familiarity with CRM systems like JDE, ALIM, and SAP is preferred. You should possess the ability to analyze data, draw conclusions, and develop recommendations effectively. Knowledge of MRO spares, Oil & Gas equipment, spare parts, and experience in the Oil and Gas industry will be advantageous. Additionally, experience with UNSPSC, taxonomy creation, schema mapping, and cross-cultural work environments will be beneficial. As a CAD Engineer, you will need to have excellent communication skills, the ability to influence across different organizational levels, and a collaborative approach to work. Your resilience and experience in multi-faceted environments will be essential for success in this role. This position does not require extensive travel, and relocation assistance within the country is available. The role offers a hybrid of office and remote working arrangements, providing flexibility in your work environment.,

EXCLUSIVE Walk in drive for " Material Master Management " at Bangalore Location on 19th July 2025 Greeting from Infosys BPM Ltd., You are kindly invited for the Infosys BPM: MEGA Walk-In Drive on 19th July 2025 at Bangalore. Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume Please use below link to apply and register your application. https://career.infosys.com/jobdesc?jobReferenceCode= PROGEN-HRODIRECT- 220246 Interview Information: Interview Date: 19th July 2025 Interview Time: 10:00 Am till 01:00 PM INTERVIEW VENUE - BANGALORE: I nfosys BPM Limited., #785, Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road, Sarakki, 1st Phase. J P Nagar, Bengaluru, Karnataka 560078. Landmark: Near Sindhoor Convention Centre NOTE: No Candidate parking facility is available at the location. Documents to Carry: Please carry 2 set of updated CV (Hard Copy). Carry any 2 photo Identity proof (PAN Card/Driving License/Voters ID card/Passport). All education documents need to be available for verification. (10th, 12th, Graduation (Sem Wise Marksheet, CMM. Provisional and Original Degree) Job description Role: This role will be responsible for the Master Data Management (Material master cleansing and enrichment and on-going maintenance). The aspirant will have a good exposure on the end to end Material master data classification, cleansing, enrichment and maintenance process like create, update and change material master in SAP system. Responsibilities: Good understanding and work experience of Master Data and its impact on downstream processes. Min. 2 years of professional experience in Material master data cleansing and maintenance. Strong work experience & knowledge in data classification using UNSPSC and Custom taxonomies. Strong work experience & knowledge in Material master data cleansing, enrichment, standardization, BOM cleansing and description generation based on the requirements. Strong knowledge in technical specification and attributes extraction for MRO products and should be a domain expert in material master area. Enhancement of material specification data via web sourcing and physical verification. Identifying and eliminating duplicate entries within & across the system. Streamline product classification, improve consistency, and ensure adherence to international standards Perform master data audits and validation to ensure conformance to business rules, standards, and metrics that meet business requirements. Good work experience & knowledge in AI/ML model and Leveraging AI technology to automate the material master cleansing activities. Recommend changes to improve overall data quality, improve processing times, and anticipate future needs Collaborate with procurement, supply chain, and maintenance teams to enhance data accuracy and optimize inventory management. Good knowledge in SAP ECC, S/4 Hana and SAP MDG, Data Migration support, LSMW, LTMC and Win Shuttle. Multi-tasking Master Data Expert. (Data analysis, cleansing, migration support, Ongoing governance support and stake holders management etc) Skills: 2-7 years experience in the Master Data Management domain extensive work experience in material master cleansing support. Proficient in MS Excel (Strong on Charts, Pivots, Slicers, Excel formulae, Index Match, V lookup & H lookup, Offset, named ranges, Nested loops etc.) Good knowledge in SAP ECC, SAP S/4 HANA and SAP MDG. AI/ ML based projects participation/ experience will be an asset. Good Interpersonal, analytical and communication skills Candidate must be a self-starter with the ability to work with limited direction Self-motivated and takes ownership Mindsets Own your success - Accountable for delivering innovative business outcomes; Seeks opportunities to improve and digitize process delivery; Adheres to safe and ethical work practices Think big - Actively builds own knowledge, capabilities and skills for the future; Values teamwork and collaborates to achieve results Be curious - Willing to suggest new ways of working, processes and technologies; Ensures the delivery and improvement of digital solutions to benefit customers Effortless customer experiences - Understands customer needs and delivers digital seamless self-service customer experiences Digital first - Applies creative digital solutions to solve problems Key Competencies Operational Excellence - Has a sound understanding of process and workflow streamlining, problem resolution and change management Risk Management - Identifies external and internal factors that impact risk and mitigation opportunities. Identifies potential new or emerging risks / threats and implements mitigation plans Change Management - Builds energy around a change using a systematic approach to transition from the present to the desired state Digital Fluency - Effectively uses digital guidance, tools, methodologies, and security measures for operating as a digital business. Uses digital tools to collaborate, organize, plan and reflect on digital data Analytical Thinking - Systematically breaks down a complex problem or process into component parts using logical analysis techniques to reach a solution. Logically assesses relationships, grasps interdependencies, and reviews trends within a complex problem or situation. Challenges assumptions and reliability of acquired information Decision Making Makes decisions affecting both own tasks and those of others. Combines a variety of factors including commercial awareness, risk and financial expertise to make appropriate decisions and derive insights Innovation - Adapts existing processes, methods and ways of working to drive efficiency. Uses digital technologies to develop new ideas, projects and opportunities Influencing - Identifies areas of alliance and disagreement, evaluates options and potential outcomes, and plans influencing strategy. Identifies short term customer needs and communicates benefits to the stakeholder. Knows when and how to use the chain of command Problem Solving - Evaluates and prioritizes problems for own area. Resolves problems in a timely way, using a combination of logic and experience to make decisions and solve problems Relationship Management - Establishes and maintains relationships with peers and internal business partners to achieve results Business Acumen - Identifies new or alternative approaches to performing business activities more efficiently Education: BE Mechanical/Electrical/Electronics Thanks & Regards Infosys BPM Ltd.

Familiar with Mechanical products used in Oil/Gas/Energy industries Should have good domain expertise and analytical skills to identify and assign UNSPSC / NOUN / NOUN MODIFER from product description Ability to study the component / Item specification and analyse for key technical parameters Exposure to MS Excel operation to gather the component / item data in MS Excel Good knowledge of Mechanical / Electrical and understanding Key characteristics given in the datasheets. Working experience with product manufacturing companies

Data Cleansing & Integration Project Delivery: Execute high visibility data programs as assigned by the Data Cleansing Manager. Utilize SAP data load solutions such as SAP Migration Cockpit and LSMW for data loading and template creation. FDO Data Change Management Methodology: Assist in defining data cleansing approaches using Mass Change functionality. Develop and prepare data cleansing strategies. Data Cleansing & Integration Technical Guidance: Understand SAP landscape and data flow to underlying/consumed systems to prevent data synchronization issues. Data Quality: Collaborate with the Data Quality (DQ) team to define DQ rules and enhance visibility of existing data quality. Data Governance: Work with the Data Governance (DG) team to ensure proper governance before implementing system changes. Conduct necessary data load testing in test systems. Data Sourcing: Maintain and update the data catalogue/data dictionary, creating a defined list of data sources indicating the best versions (golden copies). Data Ingestion: Collaborate with DG and project teams on data harmonization by integrating data from multiple sources. Develop sustainable integration routines and methods. Qualifications: Experience: Minimum of 6 years in data-related disciplines such as data management, quality, and cleansing. Technical Skills: Proven experience in delivering data initiatives (cleansing, integration, migrations) using established technical data change methodologies. Proficiency in handling large data sets with tools like Microsoft Excel and Power BI. Experience with SAP native migration and cleansing tools such as SAP Migration Cockpit, LSMW, and MASS. Knowledge of Master Data Management in SAP MDG, SAP ECC, and associated data structures. Collaboration: Ability to work effectively with internal cross-functional teams.

Job Title: EAM Consultant Location: Hyderabad Experience: 4-6 Years We are looking for experienced EAM Consultants (4 - 6 years) to join our team immediately in Hyderabad. who is having strong background in CMMS, Reliability, and Maintenance . Job Description: Check hard copy and electronic versions of P&IDs. Verify P&ID revision control, compare symbols and legends, validate asset tagging and equipment IDs, confirm pipeline and flow direction. Cross-check with field assets (optional), report discrepancies, and request updates. Basic understanding of the type and purpose of primary equipment by discipline (ELE, INST, MECH). Lead missing asset identification and record corrections for all assets under the scope of the project. Confirm and validate the Master Equipment List (MEL), Asset Tag Registers, and SCE Lists from P&IDs, PFDs, and single-line drawings. Build the equipment technical hierarchy according to CMMS requirements. Prepare technical objects, structure, and organize master data related to assets, equipment, and maintenance processes. Data Cleansing, Data Enrichment, Cataloguing. Some of the technical objects include: Functional Location, Equipment (EQ), Bill of Materials (BOM), Work Centers (WC) , Maintenance Task List, Measuring Points & Counters. BOM (Bill of Materials): Manage maintenance spare parts ordering and prepare all related documents in coordination with the warehouse, purchasing, and maintenance end users. Establish machinery spare parts interchangeability records, classification, and standardization (rotating, static, piping, and fittings), starting with the recommended two-year spare parts dossier provided by the contractor during construction. Provide statistical reports on inventory transactions using CMMS (Computerized Material Management System). Spare Parts Data Package Review (SPDP): Analyze spare parts lists (SPILs), Bill of Materials (BOMs), and SPIR (Spare Parts Interchangeability Record) and vendor documentation. Verify part descriptions, material specifications, and manufacturer details. Ensure correct categorization and classification of spare parts (MRO, consumables, critical spares, etc.). Identify duplicate, obsolete, or missing spare parts data and recommend corrective actions. Required Knowledge: Familiarity with ISO 14224 (Asset & Maintenance Data Collection for Reliability). ISO 9001 (Quality Management System - QMS). ASTM standards or industry-specific maintenance guidelines.

ColumbiaSportswearCompany is looking for Sr Master Data Mgmt Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Title:GN - SC&O - S&P Data Specialist Management Level:09 - Specialist | Location:Bangalore Must have skills:Data Science KEY RESPONSIBILITIES Data Specialist work closely with the Head of Data Services and Products teams on delivering project independently, leading data analysts to carry out defined pieces of data analysis and secondary market research. Typical work streams: Client/External Supplier Interaction Liaison with various clients/suppliers and establish long-term relationship. Set expectations with customer on deliverables, negotiate on requirements, and obtain signoffs on thefinal deliverable. Lead data extraction efforts and guide data analysts in obtaining and analyzing it. Project Management Manage data analysts to adhere to project deadlines. Align with all internal teams to ensure buy-in from all stakeholders on the critical process pieces. Have formal weekly status review meetings with the delivery team/ CSM's/ Management as well as thecustomer. Understand and resolve any internal or external issues with the processed data or product effectivelyand efficiently. Data Management Guide data analysts and drive end to end data handling from collection to deliverable publish. Ensure that the process is fully documented and auditable. Solve day-to-day process problems as well as logical issues identify innovative approaches andsolutions. Work Experience: 5+ years of project management experience on Spend Analysis/ Procurement domain experience.Academic Qualifications:Masters or Bachelors in Engineering, Mathematics, Computer Science, Business orEconomics Skills Required: Strong leadership and team management skills Excellent analytical and research capabilities comfort and proficiency in handling large data analysisand secondary market research Good spoken and written (English) communication skills should be able to participate in global teamcalls. Excellent MS Excel skills ability to guide others in handling and structuring analysis. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovativeapproaches to problems/issues in data processing.Additional Skills/Experience Desired: Background in Data Management (knowledge of analytical tools like SAS, Alteryx, Qlik sense anddatabase tools like MS Access, SQL/Oracle database) Knowledge of taxonomies like UNSPSC, NAICS, SIC, E-Class, HTS and other custom specific taxonomies Knowledge of E2E automation for the data classification/Vendor Normalization process through ETL,Scripts or KB Lookups Knowledge of the sourcing, contract management, vendor discovery assessment, vendor riskmanagement, invoice reconciliation & leakage detection, spend miner services, P2P process, etc..