Job Summary: 

• Processes add/change requests for Search & Navigation, Product, Customer, Location, and Vendor data.
• Validates the accuracy and completeness of inbound data from a variety of sources.
• Identifies and eliminates duplicate data.
• Identifies and adds missing or incomplete data.
• Identifies and corrects inaccurate data.
• Processes Vendor List Price changes and produces timely List Price sheets for Local Companies.
• Serves as subject matter expert and point of contact for data-related inquiries from internal customers and third parties.
• Provides feedback to improve internal and cross-functional processes.
• Participates in special projects and performs additional duties
• Generate warehouse management system and SAP reports
• Communicate effectively with cross-functional teams such as production, quality and accounting.

Skills on Resume: 

• Data Validation (Hard Skills)
• Data Cleansing (Hard Skills)
• Duplicate Data Identification (Hard Skills)
• Subject Matter Expertise (Soft Skills)
• Process Improvement (Soft Skills)
• Report Generation (Hard Skills)
• Effective Communication (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)

Job Summary: 

• Responsible for supporting the CVM manager in setting
• Uploading the country's MCCP, ensuring the right planning and execution.
• Responsible for the support of Veeva event management by reviewing the data and ensuring the correct status and closure of the event planned in the countries.
• Support marketing teams with the uploading and approval of content via PromoMats.
• Support Platform Lead and Platform Managers with the enhancement, usage, training, and accuracy of all Veeva systems.
• Resolve tickets raised either via SharePoint or ServiceNow that relate to the data integrity of any Veeva system.
• Maintain relationship with IQVIA and Internal stakeholders in customer data integration, Alignment, and Verification and ensure data accuracy in the CRM system.
• Identify new customers related to Key & core BI Therapeutic areas and include its users and targeted products.
• Maintains and updates HCPs profile where appropriate i.e. segmentation, target flag, e-mail, and contact preferences.
• Maintain all BI territory structures via Veeva Align.
• Coordinate with OPU Sales Management and Marketing on the following tasks - Territory/Product/Field force/FLSM Alignments, Product-to-user links, and Digital assets links to users with the right products.

Skills on Resume: 

• Veeva Event Management Support (Hard Skills)
• Content Approval Process (Hard Skills)
• Data Integrity Management (Hard Skills)
• Stakeholder Relationship Management (Soft Skills)
• Customer Data Integration (Hard Skills)
• Customer Identification and Targeting (Hard Skills)
• Territory Management (Hard Skills)
• Cross-Functional Coordination (Soft Skills)

Job Summary: 

• Driving the application of the relevant Data Governance policies, standards, guidelines, and regulatory requirements (e.g. CPG 235, BCBS 239, BS11) to the data in the Domain.
• Defining Critical Data Elements, identifying relevant Data Quality measures and remediation of both the processes and data to improve Data Quality coverage and scores.
• Understand the lifecycle (Capture/Measure/Manage/Use/Produce) of data from source to report, capturing Data Lineage at each step and understanding how reporting and analytics utilize the data.
• Working very closely with Subject Matter Experts, fellow Enterprise Information Management chapters, Data Governance Council and Steering Group members, and colleagues in the wider Data Domains
• Govern and provide oversight of data under their stewardship, acting as a focal point for data governance within the Line of Business
• Ensure the Line of Business (LOB) adheres to data-related policies, and standards and meets requirements set out by the Enterprise Data and Information Management Policy and Standards
• Design, implement, and maintain LOB-specific processes, templates, and appropriate mitigating controls, to support enterprise data policy and standards and ensure effective management and control of LOB data
• Review and escalate data risks and issues and provide advice and support to business owners in the development and implementation of action plans for issue resolution
• Deliver training, tools, and advice to support the governance and oversight of data
• Guide the Business on activities such as identification of critical data and critical data elements, metadata management and data quality tasks and data retention and disposition
• Partner with business and technology stakeholders to drive effective data activities for the Business

Skills on Resume: 

• Data Governance Implementation (Hard Skills)
• Critical Data Elements Definition (Hard Skills)
• Data Quality Management (Hard Skills)
• Data Lifecycle Understanding (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Policy Adherence (Hard Skills)
• Risk Assessment and Management (Hard Skills)
• Training and Support Delivery (Soft Skills)

Job Summary: 

• Work with various cross-functional partners, including business stewards, data custodians, and other members of the Data Governance Office, to effectively implement, monitor, and ensure adherence to data management and data governance procedures.
• Ensure data definitions and business rules are captured, approved, implemented, and maintained within the appropriate data governance tools.
• Work with the Data Governance Office, the Data Governance Committee, and the Data Governance Council to execute and maintain the enterprise-wide data governance program.
• Collaborate with multiple business units to understand their data needs and create and manage business process metadata, including business glossaries, data dictionaries, data relationships, data mappings, and data lineage.
• Support the implementation of data management and data quality tools within the Data Governance Office
• Troubleshoot and resolve conflicts related to data sources, business term definitions, naming conventions, and business rules among various consumer applications and user communities.
• Measure and monitor data quality for assigned business units
• Identify issues and trends, oversee remediation plans, implement data controls, and manage data quality remediation strategies with key stakeholders.
• Develop and deliver training on business stewardship roles and responsibilities.
• Communicate with Data Owners, the Data Governance Committee, and other stakeholders on data quality measurements and continuous improvement plans.
• Champion data consistency and data integrity efforts across the Agency, and enforce the “system of record” and “source of truth” concepts.

Skills on Resume: 

• Data Governance Implementation (Hard Skills)
• Data Definitions Management (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Metadata Management (Hard Skills)
• Data Quality Monitoring (Hard Skills)
• Conflict Resolution (Soft Skills)
• Training Development and Delivery (Soft Skills)
• Data Integrity Advocacy (Soft Skills)

Job Summary: 

• Ensure that the data asset management policies, standards and best practices are shared across the business unit and embedded in new development projects
• Be responsible for understanding end-to-end data lifecycle with data controls and identifying data dependencies in support of delivery, release, and change management
• Work with the business and technical teams to create data standards and principles to improve data management. 
• Creation of management and control processes to report on the effectiveness of the data management gates implemented within the business processes
• Identify what data is more important to the business, and assess, manage, monitor and report on this data
• Understand business processes and data needed to support these business processes
• Partner with core functions and business to create business process flows and data mapping
• Become the subject matter expert of the business processes and the data generated and used by the processes.
• Partner in defining success measurements for key core functions and business and strategic initiatives
• Work with teams to help define the master and reference data required for a process/system to perform a task and to identify the most appropriate source of data
• Build and maintain a collaborative environment by emphasizing teamwork across all departments

Skills on Resume: 

• Data Asset Management (Hard Skills)
• Data Lifecycle Understanding (Hard Skills)
• Data Standards Creation (Hard Skills)
• Management and Control Processes (Hard Skills)
• Data Prioritization and Monitoring (Hard Skills)
• Business Process Understanding (Hard Skills)
• Subject Matter Expertise (Soft Skills)
• Collaborative Teamwork (Soft Skills)

Job Summary: 

• Understand the lifecycle of the Equifax data sources across all stages from ingestion to production
• Drive the support of migration activities as we move data sources into the cloud. 
• Running validation routines, comparing data results between legacy and cloud systems and working across different USIS teams to coordinate and track project deliverables
• Own the development of automated, threshold-based reports that efficiently and reliably identify areas for further investigation and improvement. 
• Act on the findings of these reports on time, prioritizing efforts based on business impact.
• Work with an evergreen roadmap of initiatives, powered by work in Quality Monitoring and Customer Engagement, helping to drive these projects to completion.
• Deliver on the consistent application of data custodianship, data usage and other internal control processes implemented across Equifax to ensure compliance and privacy policies and standards are met.
• Be an ambassador for data assets and encourage data awareness which can assist with new opportunities and points of synergy.
• Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
• Manage products in hold, salvage, or aged status and correct inventory discrepancies in the finished goods stock.
• Set up and maintain product information in the system and perform cycle counts on a scheduled basis.
• Coordinate inventory monitoring activities between outside storage and the plant.

Skills on Resume: 

• Data Lifecycle Management (Hard Skills)
• Cloud Migration Support (Hard Skills)
• Data Validation and Comparison (Hard Skills)
• Automated Reporting Development (Hard Skills)
• Project Prioritization (Soft Skills)
• Data Compliance and Privacy (Hard Skills)
• Data Governance Expertise (Hard Skills)
• Inventory Management (Hard Skills)

Job Summary: 

• Interface with product developers from all consumer product categories to gather product specifications for new product launches or product changes
• Enter specification information into the SAP Product Lifecycle Management (PLM) tool by creating or updating the necessary specifications and documents following established requirements and best practices
• Enter specifications into the quality management system
• Perform peer review of product specifications in SAP PLM entered by other team members
• Optimize the workflow process to gain efficiencies in the product specification entry process
• Be a self-starter with a strong attention to detail, highly organized, and a passion for data quality
• Participating in and facilitating meetings for the Data Governance Council
• Creating and utilizing data governance scorecards to support Data Governance Council discussions and decision-making
• Documenting and recording information, decisions, and recommendations made by the Data Governance Council
• Supporting the development of the Data Governance vision and framework while remaining aligned with overall business objectives
• Developing, documenting, and maintaining definition, production, usage, classification, and compliance rules across multiple business units to support the enterprise management of data
• Collaborating with data owners and data custodians to identify and resolve more complex data governance issues in a timely and collaborative manner
• Supporting the development of processes and procedures for Data Governance and Stewardship

Skills on Resume: 

• Product Specification Management (Hard Skills)
• SAP PLM Proficiency (Hard Skills)
• Quality Management Entry (Hard Skills)
• Peer Review (Hard Skills)
• Workflow Optimization (Hard Skills)
• Attention to Detail (Soft Skills)
• Data Governance Facilitation (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)

Job Summary: 

• Owns the vision, roadmap, and data lifecycle for the data subject area over which the role is responsible
• Establishes and continuously develops the Data Steward capability, along with other Data Stewards and Lead Data Stewards
• Ensuring key business areas are properly represented in the Data Stewardship Community
• Provide a high degree of service and quality to internal and external customers and stakeholders
• Be the first point of contact for questions related to data in their subject area. Be the SME of data.
• Establishes data standards and practices that fulfill enterprise data policies
• Set data quality expectations, SLAs and monitoring requirements
• Provide high-quality communication about the data, its intent, meaning, context, and lineage on the enterprise data catalog
• Provide reporting and metrics to the data governance committee and partners
• Lead incident and problem management for medium and low-priority incidents
• Facilitates cross-functional working groups to solicit input and feedback

Skills on Resume: 

• Data Vision Ownership (Hard Skills)
• Data Steward Development (Soft Skills)
• Stakeholder Engagement (Soft Skills)
• Subject Matter Expertise (SME) (Soft Skills)
• Data Standards Establishment (Hard Skills)
• Data Quality Management (Hard Skills)
• Effective Communication (Soft Skills)
• Incident Management (Hard Skills)

Job Summary: 

• Help design and manage the Corporate Master Data model for finished goods to comply with external (GS1) and internal standards.
• Controlling data, removing redundant, obsolete and duplicate information
• Transfer and translate technical details from own New Product Development teams, Packaging Engineers and Sales into various applications, both internal and external.
• Coordinate with the user community to ensure the correctness and completeness of both internal (from Sales, QA or Production) and external data requests (from Customers).
• Coordinate changes in data in other areas impacted as a result of standardization, elimination of duplicates, changes to specifications, etc. (Artwork, Pallet dimensions, Nutritional changes, etc.)
• Manage and process data request files from external customer requests.
• Track and manage the progress of data request projects from various customers, with the ability to report regularly on progress.
• Implementation of approved and validated requests in the master data computer system (e.g. SAP, PLM, PIM and synchronization with external systems)
• Learn external PIMs, 1-Synch and other customer or Supermarket chain systems (e.g. Brandbank) and synchronize/upload data to such systems.
• Communicate with the user community any global changes to master data files.
• Develops and continually maintains a classification and attribute/characteristic system used in the detailed definition of products – whether in SAP, PLM, PIM or all of the above.

Skills on Resume: 

• Master Data Management (Hard Skills)
• Data Quality Control (Hard Skills)
• Technical Translation (Soft Skills)
• User Coordination (Soft Skills)
• Data Change Management (Hard Skills)
• Project Tracking (Soft Skills)
• System Implementation (Hard Skills)
• Classification System Development (Hard Skills)

Job Summary: 

• Evaluate new data sources, handle current inventory of data, ensure appropriate usage of data, and establish metrics to measure the quality of data
• Establish, promote, and implement data governance policies and standards
• Manage processes to support acquisition, integration, and distribution of data assets
• Monitor transfer of data to outside vendors to ensure proper security processes are followed
• Act as liaison between IT and business partners for data-related needs, queries, and issues (for internally generated data)
• Collaborate with colleagues on data validation and data coordination activities
• Create and update data catalogs to provide a comprehensive view of the data inventory
• Understand requirements and ensure compliance with licensing agreements of data assets
• Leads a wide data acquisition analysis across EMEA and the OpCos
• Ensure all findings discovered during monitoring are appropriately detailed, investigated, corrected and if applicable raised.
• Act as a liaison between business/ data users and technical teams to serve as a reference for development and support.
• Apply compliance requirements within the scope of responsibility, provide documentation and participate in compliance activities

Skills on Resume: 

• Data Evaluation (Hard Skills)
• Data Governance Implementation (Hard Skills)
• Data Asset Management (Hard Skills)
• Data Security Monitoring (Hard Skills)
• Liaison Skills (Soft Skills)
• Data Validation Coordination (Soft Skills)
• Data Catalog Management (Hard Skills)
• Compliance Management (Hard Skills)

Job Summary: 

• Manage the lifecycle of Master Data objects mandated by IT’s Master Data team according to agreed service levels
• Contribute to the team’s transition to work more proactively to support business data consumption
• Proactively cleanse and/or transform data content by performing cleansing, audits and validations to ensure complete, consistent, accurate and current data
• Contribute and drive the master data team’s roadmap activities to both improve existing processes and focus on bringing value to business’ data consumption
• Drive technical changes on SAP’s Master Data Governance (MDG) platform in collaboration with service providers. 
• Responsible for monitoring, testing and deploying changes, and safeguarding that changes are scalable for future use with adherence to standards
• Perform data analytics for insight into data quality and observe early warning to take actions to improve data quality
• Manage mass changes of data sets and in parallel join the team to build migration services for the future on existing platforms.
• Contribute and support data flow and integration for mandated master data objects.
• Support master data Super Users to share master data competence, either through inquiries or training - includes maintaining procedures
• Perform root-cause analysis on Master Data related system problems, recommend and execute corrective action
• Contribute to IT and/or business projects for master data objects

Skills on Resume: 

• Master Data Lifecycle Management (Hard Skills)
• Proactive Data Support (Soft Skills)
• Data Cleansing and Validation (Hard Skills)
• Process Improvement (Soft Skills)
• SAP MDG Technical Changes (Hard Skills)
• Data Quality Analytics (Hard Skills)
• Migration Services Management (Hard Skills)
• Root-Cause Analysis (Hard Skills)

Job Summary: 

• Contribute to the strategic direction and planning.
• Work closely with the Data Owner to finalize priorities and make decisions for their respective data domains including data hierarchy/taxonomy.
• Drive alignment and call out issues and risks to the GS Data Council and Cross-Functional data forum, as per the defined framework.
• Understand the downstream data usage and how changes will affect users.
• Build the relevant framework around data management considering the integrated view - people, process, product, training, and communication.
• Drive the definition and alignment of standards for data elements by engaging with the relevant data users.
• Engage with business SMEs/ data users, cross-functional domain professionals, data and system architects, compliance and the Quality Lead
• Authoritative systems for creating, updating and maintaining data
• Data transformation rules, derivations, and calculations, Data validation rules, Data sensitivity classification, Data retention schedules
• Collaborate with GS Data Governance/ CC Product Owners/relevant partners
• Quality checks in both systems, to make sure data are 100% accurate.
• Enhance data quality using customer, reseller and part-matching tools.

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Data Hierarchy Management (Hard Skills)
• Risk Identification (Soft Skills)
• Data Usage Analysis (Hard Skills)
• Data Management Framework Development (Hard Skills)
• Standards Definition (Hard Skills)
• Collaboration with SMEs (Soft Skills)
• Data Quality Assurance (Hard Skills)

Job Summary: 

• Creates and ensures data governance guardrails & integrity throughout the Salesforce and other corporate data systems
• Corrects data flagged under the Data Governance JIRA boards
• Handle data quality escalations raised by the Finance Team
• Communicate with Sales Reps, Sales Ops & Finance to address data inconsistencies in the systems
• Collaborates with other Data Stewards & works to provide insights into data integrity issues that affect Data Governance guidelines
• Follows standard operating procedures in analyzing situations or data from which answers can be readily obtained.
• Processes and policies specific to data governance (e.g. master/reference data, mappings)
• Data integration framework in/out case and contact management environment (product, process, people)
• Perform business requirements, and root cause analysis, and write specifications in a consumable format and terminology for developers.
• Lead design sessions by presenting logical statements of business problems and solutions and offering and incorporating ideas.
• Support the design of controls, structures policies and processes to maximize the use and awareness of data and business intelligence within the organization.
• Define data definitions to ensure that data is consistent, accurate and valuable.
• Consult with business services to understand their data requirements, challenges and concerns.

Skills on Resume: 

• Data Governance Implementation (Hard Skills)
• Data Quality Correction (Hard Skills)
• Communication Skills (Soft Skills)
• Data Steward Collaboration (Soft Skills)
• Standard Operating Procedures Adherence (Hard Skills)
• Data Integration Framework Knowledge (Hard Skills)
• Business Requirements Analysis (Hard Skills)
• Data Definition Management (Hard Skills)

Job Summary: 

• Together with co-workers manage the operational process of online product launches. 
• End-to-end upload for all products in the applicable tools
• Optimizing and outsourcing of digital asset collection
• Processing of images for all products
• Upload of collected content attributes in the relevant languages, including use of SDL memories and Machine Translation
• Develop rule-based solutions in the intended automation of MDM processes at own initiative
• Support and manage change efforts, innovative approaches in problem-solving
• Ensure quality of master data in key systems, as well as development and documentation of processes in Jira Confluence
• Develop and improve auto-linking of items to the respective web hierarchies to bring the item online, including the after-care process to ensure all categories are functioning correctly
• Continuous optimization of speed and quality of the online launch process migrating from individual to mass processing of data
• Educate and train colleagues on the importance and benefits of accurate and timely data.
• Maintain best of breed Customer/Business Partner (BP) data, updates made on time and the requested quality level

Skills on Resume: 

• Online Product Launch Management (Soft Skills)
• Digital Asset Optimization (Hard Skills)
• Image Processing (Hard Skills)
• Content Attribute Upload (Hard Skills)
• Rule-Based Automation Development (Hard Skills)
• Change Management (Soft Skills)
• Master Data Quality Assurance (Hard Skills)
• Training and Education (Soft Skills)

Job Summary: 

• Define the regional data requirements with clear business objectives, scope and benefits.
• Maintain data and manage it according to data properties as required by administration.
• Support the creation and automation of standard reports for regional stakeholders by utilizing the CDP and existing dashboards to the utmost.
• Maintain Business Glossaries for local Data Sources within the data catalog.
• Use data querying and visualization techniques to support data analyses and enable meaningful insight generation from data via reports, automation of dashboards and one-off analyses
• Understand the various source data, ETL layer and output (dashboards & reports) to support stakeholders in their decision-making
• Supports EMEA Analytics Team to create compelling aggregated market summaries and data stories to support EMEA regional management and functional teams making data-based decisions and actions
• Execute requested master data object creations and updates in ERP (SAP) and other supporting systems, aligning with defined policies, procedures, and workflows, and ensuring a high degree of data integrity and accuracy.
• Effectively prioritize and execute tasks timely and efficiently in a dynamic environment and adjust priorities to meet changing timelines.
• Directly contact internal customers for problem-solving, follow-up, clarification and verification.
• Actively participate in data-related projects and support business initiatives
• Identify, escalate, and resolve data and system-related issues
• Recommend improvements and updates to procedural documentation

Skills on Resume: 

• Regional Data Requirements Definition (Soft Skills)
• Data Management (Hard Skills)
• Report Automation (Hard Skills)
• Business Glossary Maintenance (Hard Skills)
• Data Querying and Visualization (Hard Skills)
• Stakeholder Support (Soft Skills)
• Master Data Management in ERP (Hard Skills)
• Problem-solving and Communication (Soft Skills)

Job Summary: 

• Developing data management procedures and database systems
• Providing operational oversight by ensuring that the data elements are clearly defined and documented
• Maintaining data lineage of data elements
• Ensuring efficient data quality is maintained and overseeing business processes
• Developing and executing internal procedures and policies
• Identifying ways to utilize data to drive enterprise objectives
• Assisting customers with requests for data
• Evaluating data and enhancing analytics models' quality
• Overseeing compliance, and risk and providing data protection
• Collaborating with customers to maintain data quality
• Ensuring privacy, security and risk management of data within the business
• Take responsibility for classifying data elements
• Utilizing data to contribute to the business's competitive advantage in the market

Skills on Resume: 

• Data Management Procedures Development (Hard Skills)
• Operational Oversight (Soft Skills)
• Data Lineage Maintenance (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Internal Procedure Development (Hard Skills)
• Data Utilization Strategy (Soft Skills)
• Customer Support for Data Requests (Soft Skills)
• Compliance and Risk Management (Hard Skills)

Job Summary: 

• Secure that the data landscape is properly defined with relevant terms including metadata classification, anchor with key stakeholders and in relevant forums
• Be involved in developing and implementing processes and ownership of data quality controls and the increased automation of controls and validations
• Collaborate with other Data Stewards to gain cross-insights from other Data Areas
• Measure progress by following up on relevant KPIs, and take actions needed
• Responsible for that data is classified according to SEB Information Security policy
• Engage in SEB’s transformation, using change management methodology to enable a true data-driven culture
• Push and enforce Data Governance rules and policies
• Work with other team members in a team setting, collaborate with team members
• Help develop, evangelize, and support Data Governance initiatives to increase the maturity of Data Governance within the corporate environment.
• Maintain and document business rules and manage them accordingly in support of information visualization
• Utilise standard style guides where available and establish the same to present reports in a recognizable format

Skills on Resume: 

• Data Landscape Definition (Hard Skills)
• Data Quality Control Implementation (Hard Skills)
• Cross-Insight Collaboration (Soft Skills)
• KPI Measurement and Action (Hard Skills)
• Data Classification Compliance (Hard Skills)
• Change Management Engagement (Soft Skills)
• Data Governance Enforcement (Hard Skills)
• Business Rules Documentation (Hard Skills)

Job Summary: 

• Maintain data and manage it according to data management principles
• Ensure high data quality through regular data validations & user feedback and develop sustainable solutions to address data quality issues
• Support the Master Data Management ecosystem within the market
• Responsible for the creation and ongoing management of the system (using the Reltio tool), including master structure files
• Support the managing the governance processes for data management and reporting
• Maintain Business Glossaries for local Data Sources within Collibra
• Point of contact for analytical topics with 3rd party IT resource
• Support and suggest the KPI/metric definitions that are required for the reporting.
• Generation of business performance reports on monthly/regular basis eg sales, activity, consent, Veeva data loads
• Support brand-aligned colleagues by providing incentive compensation analysis
• Drive and deploy Analytics/Visualization solutions within the market
• Monitor report usage and make recommendations for rationalization of reporting library

Skills on Resume: 

• Data Management Principles (Hard Skills)
• Data Quality Validation (Hard Skills)
• Master Data Management Support (Hard Skills)
• Reltio Tool Management (Hard Skills)
• Data Governance Process Management (Hard Skills)
• Business Glossary Maintenance in Collibra (Hard Skills)
• KPI/Metrics Definition Support (Soft Skills)
• Analytics and Visualization Deployment (Hard Skills)