Avtron Power Solutions
Overview
The Master Data Management (MDM) Architect is responsible for designing, implementing, and managing MDM solutions to ensure data accuracy, consistency, and reliability across the organization. This role collaborates with cross-functional teams, including IT, business stakeholders, data stewards and supply chain teams, to align MDM initiatives with organizational goals. The MDM Architect will define data governance policies, develop technical architectures, optimize integration processes, and support business decision-making through data analysis and insights. This position plays a critical role in improving data quality, driving operational efficiency, and ensuring compliance with data privacy and security regulations. Responsibilities Collaborate with cross-functional teams, including IT, business stakeholders, business analysts, and data stewards, to understand master data requirements and provide effective MDM solutions. Define and design the overall MDM architecture, ensuring alignment with business objectives, scalability, and compatibility with multiple domains. Develop the master data management strategy, aligning MDM initiatives with the program objectives and long-term goals. Communicate effectively via correspondences, presentations, and meetings with business and technical stakeholders. Develop, implement, and enforce master data governance policies, standards, and procedures to ensure data quality, accuracy, compliance, consistency, and reliability of master data. Provide standards, guidelines, processes, and expertise to address master data issues such as convergence, standards, and synchronization. Develop and maintain technical architectures and data models for MDM solutions. Implement data integration processes, ensuring the seamless flow of data between different systems and applications. Collaborate with System Administrators to optimize the performance and scalability of MDM solutions and operations. Document and incorporate MDM best practices and processes. Collaborate with other teams to ensure compliance with data privacy and security regulations. Work closely with all levels of the organization including presenting to educate the business on master data issues and best practices. Identify and leverage opportunities to continually improve the data quality, processes, and standards for master data domains. Provide training and create documentation for end-users and data stewards on MDM best practices and usage. Analyze supply chain data to identify opportunities to improve processes, reduce costs, and optimize inventory levels. Create and maintain dashboards and reports that provide visibility into supply chain KPIs and trends. Partner with supply chain teams to interpret data insights and support decision-making processes. Perform ad hoc analyses to address supply chain challenges and drive actionable recommendations. Other duties as assigned.
Minimum Qualifications
5+ years of hands-on professional experience as an Architect in multiple Master Data Management (MDM) projects, including architecting, planning, designing, developing, implementing, testing, and integrating MDM solutions with data cleansing, ingestion pipelines, matching, deduplication, hierarchy management, standardization, automation, and orchestration of enterprise Master and Reference data to create the single version of the truth (e.g., golden record). Experience with SAP Business One, ideally with Boyum/BEAS. Experience with designing, developing, and implementing entity-relationship diagrams and conceptual, logical, and physical relational data models. 5+ years of hands-on experience creating data profiling rules, data cleansing rules, data match rules (exact and fuzzy), merge options, auto-merge rules, manual merge rules, un-merge rules, validation rules, and trust rules. 5+ years of hands-on experience in designing, developing, and maintaining integrations between MDM solutions and other systems using APIs, web services, etc. Experience modeling data and developing complex SQL queries, stored procedures, functions, views, joins, indexes, triggers, external tables, roles, grants, and permissions (DDL/DML). 5+ years of experience in data analysis, metadata cataloging, and maintaining documentation including technical specifications, data mappings, data dictionaries, data lineage, data flow diagrams, and design artifacts. Domain knowledge and experience in manufacturing businesses. Knowledge of data management concepts including data architecture, data quality, metadata management, data warehousing and BI, data integrity, data integration, data governance, data security, data storage and operations.
Education, Skills and Experience Education
Bachelors degree preferred, but not required. Skills
Excellent people skills with the ability to collaborate effectively in a team environment Experience
5+ years of hands-on professional experience in MDM projects similar to the items above, including data cleansing, ingestion pipelines, matching, deduplication, and governance of master and reference data. Experience with SAP Business One ideally with Boyum/BEAS. Experience with designing, developing, and implementing data models and database structures. 5+ years of experience in data profiling, cleansing, matching, merging, and data governance. 5+ years of experience integrating MDM solutions with other systems via APIs and web services. Proficiency in SQL and data querying, including complex joins, stored procedures, views, and data definitions. 5+ years of experience in data analysis, metadata cataloging, documentation, data mappings, data dictionaries, data lineage, and design artifacts. Manufacturing domain knowledge and experience. Knowledge of data management concepts including data architecture, data quality, metadata management, data warehousing and BI, data integrity, data governance, and data security. Experience developing dashboards, KPIs, and reporting tools for supply chain performance. Knowledge of general supply chain processes including demand planning, inventory management, and procurement.
Computer Skills
Proficient with Microsoft Power BI and related tools. Strong proficiency with Excel (advanced functions such as pivot tables, macros, and VLOOKUP), Power Query, and other data analysis tools.
Seniority level
Mid-Senior level Employment type
Full-time Job function
Design, Information Technology, and Management Industries
Electrical Equipment Manufacturing, Electric Power Generation, and Electric Power Transmission, Control, and Distribution
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The Master Data Management (MDM) Architect is responsible for designing, implementing, and managing MDM solutions to ensure data accuracy, consistency, and reliability across the organization. This role collaborates with cross-functional teams, including IT, business stakeholders, data stewards and supply chain teams, to align MDM initiatives with organizational goals. The MDM Architect will define data governance policies, develop technical architectures, optimize integration processes, and support business decision-making through data analysis and insights. This position plays a critical role in improving data quality, driving operational efficiency, and ensuring compliance with data privacy and security regulations. Responsibilities Collaborate with cross-functional teams, including IT, business stakeholders, business analysts, and data stewards, to understand master data requirements and provide effective MDM solutions. Define and design the overall MDM architecture, ensuring alignment with business objectives, scalability, and compatibility with multiple domains. Develop the master data management strategy, aligning MDM initiatives with the program objectives and long-term goals. Communicate effectively via correspondences, presentations, and meetings with business and technical stakeholders. Develop, implement, and enforce master data governance policies, standards, and procedures to ensure data quality, accuracy, compliance, consistency, and reliability of master data. Provide standards, guidelines, processes, and expertise to address master data issues such as convergence, standards, and synchronization. Develop and maintain technical architectures and data models for MDM solutions. Implement data integration processes, ensuring the seamless flow of data between different systems and applications. Collaborate with System Administrators to optimize the performance and scalability of MDM solutions and operations. Document and incorporate MDM best practices and processes. Collaborate with other teams to ensure compliance with data privacy and security regulations. Work closely with all levels of the organization including presenting to educate the business on master data issues and best practices. Identify and leverage opportunities to continually improve the data quality, processes, and standards for master data domains. Provide training and create documentation for end-users and data stewards on MDM best practices and usage. Analyze supply chain data to identify opportunities to improve processes, reduce costs, and optimize inventory levels. Create and maintain dashboards and reports that provide visibility into supply chain KPIs and trends. Partner with supply chain teams to interpret data insights and support decision-making processes. Perform ad hoc analyses to address supply chain challenges and drive actionable recommendations. Other duties as assigned.
Minimum Qualifications
5+ years of hands-on professional experience as an Architect in multiple Master Data Management (MDM) projects, including architecting, planning, designing, developing, implementing, testing, and integrating MDM solutions with data cleansing, ingestion pipelines, matching, deduplication, hierarchy management, standardization, automation, and orchestration of enterprise Master and Reference data to create the single version of the truth (e.g., golden record). Experience with SAP Business One, ideally with Boyum/BEAS. Experience with designing, developing, and implementing entity-relationship diagrams and conceptual, logical, and physical relational data models. 5+ years of hands-on experience creating data profiling rules, data cleansing rules, data match rules (exact and fuzzy), merge options, auto-merge rules, manual merge rules, un-merge rules, validation rules, and trust rules. 5+ years of hands-on experience in designing, developing, and maintaining integrations between MDM solutions and other systems using APIs, web services, etc. Experience modeling data and developing complex SQL queries, stored procedures, functions, views, joins, indexes, triggers, external tables, roles, grants, and permissions (DDL/DML). 5+ years of experience in data analysis, metadata cataloging, and maintaining documentation including technical specifications, data mappings, data dictionaries, data lineage, data flow diagrams, and design artifacts. Domain knowledge and experience in manufacturing businesses. Knowledge of data management concepts including data architecture, data quality, metadata management, data warehousing and BI, data integrity, data integration, data governance, data security, data storage and operations.
Education, Skills and Experience Education
Bachelors degree preferred, but not required. Skills
Excellent people skills with the ability to collaborate effectively in a team environment Experience
5+ years of hands-on professional experience in MDM projects similar to the items above, including data cleansing, ingestion pipelines, matching, deduplication, and governance of master and reference data. Experience with SAP Business One ideally with Boyum/BEAS. Experience with designing, developing, and implementing data models and database structures. 5+ years of experience in data profiling, cleansing, matching, merging, and data governance. 5+ years of experience integrating MDM solutions with other systems via APIs and web services. Proficiency in SQL and data querying, including complex joins, stored procedures, views, and data definitions. 5+ years of experience in data analysis, metadata cataloging, documentation, data mappings, data dictionaries, data lineage, and design artifacts. Manufacturing domain knowledge and experience. Knowledge of data management concepts including data architecture, data quality, metadata management, data warehousing and BI, data integrity, data governance, and data security. Experience developing dashboards, KPIs, and reporting tools for supply chain performance. Knowledge of general supply chain processes including demand planning, inventory management, and procurement.
Computer Skills
Proficient with Microsoft Power BI and related tools. Strong proficiency with Excel (advanced functions such as pivot tables, macros, and VLOOKUP), Power Query, and other data analysis tools.
Seniority level
Mid-Senior level Employment type
Full-time Job function
Design, Information Technology, and Management Industries
Electrical Equipment Manufacturing, Electric Power Generation, and Electric Power Transmission, Control, and Distribution
#J-18808-Ljbffr