11886 Data Governance Jobs - Page 3

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

5+ years of relevant experience with SAP Data Migration (BODS). Hands-on experience with SAP BODS 4.3 SPS 12 & BODS 4.2 SPS14, preferably BODS 4.3 Hands-on experience in Implementation & upgrade to S/4 HANA (1909 or 2020) Hands-on experience with Migration Cockpit, SAP RDM Template Hands-on experience with Master Data Management, Data Governance, Data Quality & LTMC, LSMW, Idocs, etc. Provide technical/functional subject matter expertise and technical/functional clarification for SAP data objects and configuration in support of design sessions with related Process Teams to confirm functionality-driven data standards. Establish connectivity to legacy systems and develop and schedule ETL extra...

- Making sure that work items flow through the Kanban System. - Knowledge on DevOps: GIT, Jenkins, Bitbucket and Agile release Train. - Developing the corresponding UI and features within an AGILE framework - Must have a good understanding of agile methodology and frameworks. - Hands-on with all MS Office tools - Must have Coaching & Mentoring skills - Should have exceptional organizational skills, with the ability to handle complex projects in a multi-tasking and multi-vendor environment and meet deadlines while delivering high quality results - Effective communication, stakeholder management and inter-personal skills - Focused approach to problem solving which must include flexibility whil...

We are looking for a highly skilled and experienced professional to join our team as an Analyst in the Global Network domain, focusing on AI and Data Strategy. The ideal candidate will have a strong background in IT Services Consulting, with expertise in Accenture Solutions Pvt Ltd. Roles and Responsibility Collaborate with cross-functional teams to design and implement AI-powered solutions for clients. Develop and maintain large-scale data systems, ensuring scalability and reliability. Analyze complex data sets to identify trends and patterns, providing actionable insights. Design and implement data strategies to drive business growth and improvement. Work closely with stakeholders to under...

Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities Define and implement the enterprise-wide TDM strategy aligned with QA and DevOps goals.Lead the design and execution of test data provisioning, masking, subsetting, and refresh processes.Collaborate with QA, development, and data teams to understand data needs and ensure timely availability of test data.Evaluate and implement TDM tools (e.g., Informatica TDM, CA Test Data Manager, Delphix, IBM Optim).Establish data governance policies and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).Automate test data creation and management processes to support CI/CD pipelines.Mo...

Meet the Team Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop their analytics and data pipelines. We are looking for a hands-on Data Engineer to join a high-impact data engineering team with a focus on developing the data platform and working with the product team to develop data and analytics pipeline. Your Impact Work and enhance big data related opensource technologies. Build and operate Kafka-based streaming applications, including ingestion, filtering, enrichment, and replication use cases. Develop data processing jobs using Apache ...

Your future duties and responsibilities: Roles & Responsibilities Define and own the end-to-end BI and reporting architecture using Power BIDesign scalable data models, semantic layers, and reporting frameworksEstablish Power BI best practices, standards, and governanceArchitect and optimize data integration, ETL, and SQL-based solutions Oversee security, RLS, performance tuning, and capacity planningGuide teams on SSRS, Power BI Service, and enterprise reporting strategyDrive automation, monitoring, CI/CD, and DevOps adoption for BIPartner with business, data engineering, and leadership stakeholders Review solution designs, conduct architecture reviews, and mitigate risksEvaluate and integr...

Skill: Tableau Experience: 4 to 12 years Location: AIA Gurgaon Job Summary We are seeking a highly skilled Architect with 10 to 14 years of experience to join our team. The ideal candidate will excel in designing and implementing data-driven solutions using Power BI Tableau and Databricks. This hybrid role requires a strategic thinker who can transform complex data into actionable insights enhancing our business intelligence capabilities. The position offers a day shift schedule with no travel requirements. Responsibilities Design and implement robust data architectures that leverage Power BI Tableau and Databricks to deliver comprehensive business intelligence solutions. Collaborate with cr...

We are hiring a Senior Data Engineer for a 6-month remote contract position. The ideal candidate is highly skilled in building scalable data pipelines and working within the Azure cloud ecosystem, especially Databricks, ADF, and PySpark. You'll work closely with cross-functional teams to deliver enterprise-level data engineering solutions. #KeyResponsibilities Build scalable ETL pipelines and implement robust data solutions in Azure. Manage and orchestrate workflows using ADF, Databricks, ADLS Gen2, and Key Vaults. Design and maintain secure and efficient data lake architecture. Work with stakeholders to gather data requirements and translate them into technical specs. Implement CI/CD pipeli...