Job Summary:

• Provides expertise & ensures overall Prolink data governance, in line and compliant with Data CoE guidelines and the overall enterprise data governance program.
• Responsible for implementing data quality policies, procedures and standards in line with Global & Europe.
• Coordinates development and training of data quality best practices with operational DMOs in Bus
• Preparation and presentation in Data Workshops & follow-up on open data requirements detected in Data Integration Workshops
• Leverages the existing data quality suite (including data quality rules, processes, and tools) to monitor, report & improve data quality
• Defines and leads the implementation of data cleansing and harmonization activities – also hands-on
• Monitors data quality milestones, performance measures and executes data quality improvements
• Maintains awareness of all data-related issues
• Manages selected issues & elevates
• Reviews existing operational data (master data & transactional data) to ensure adherence with the Prolink data model and design principles

Skills on Resume: 

• Data Governance Expertise (Hard Skills)
• Data Quality Management (Hard Skills)
• Training Coordination (Soft Skills)
• Workshop Facilitation (Soft Skills)
• Data Quality Monitoring (Hard Skills)
• Data Cleansing Leadership (Hard Skills)
• Performance Measurement (Hard Skills)
• Operational Data Review (Hard Skills)

Job Summary:

• Lead/Support defect fixing on JDA Data issues
• Keeps operational data owners in Business Units focused on key priorities
• Operational activities/data cleansing
• Consolidate the Data Collection Sheets from the markets, check for consistency according to the JDA rules and follow up.
• Update Data Collection Sheets template based on new functional requirements
• Weekly meeting with the markets to request Data based on Data Collection Sheet
• Review and support to the markets once they provide the Data Collection Sheet
• Sales History Analysis before Load the History to JDA
• Support Data Load for different test phases & Go Live
• Error handling analysis and coordination with the markets to solve the detected issues.

Skills on Resume: 

• Defect Fixing Leadership (Hard Skills)
• Operational Data Management (Hard Skills)
• Data Cleansing Expertise (Hard Skills)
• Data Collection Consolidation (Hard Skills)
• Template Update Management (Hard Skills)
• Market Coordination (Soft Skills)
• Data Submission Review (Hard Skills)
• Sales History Analysis (Hard Skills)

Job Summary:

• Build, test and operate scalable data pipelines that ingest structure and clean data into a performant and acceptable format for downstream reporting, machine learning and ad hoc analysis.
• Work cross-functionally with data scientists, infrastructure engineers and client-facing analysts to deliver data solutions
• Write testable, efficient, and reusable code suitable for continuous integration and deployment. 
• Review Pull Requests and guide the development of standards and practices
• Lead and mentor junior data engineers to ensure best practices are integrated into data pipelines.
• Understand the high-level product roadmap and immediate features to be developed, contributing to high-level estimation and layout of the development sequences
• Constantly and actively contribute to pushing code to production with the objective of becoming a main contributor
• Create a governance model within the business that will improve data quality across the firm.
• Steer meetings and working groups to execute the data governance vision.
• Educate business, operations and technology teams on data governance program.

Skills on Resume: 

• Data Pipeline Development (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Efficient Code Writing (Hard Skills)
• Pull Request Review (Hard Skills)
• Mentoring Data Engineers (Soft Skills)
• Product Roadmap Understanding (Hard Skills)
• Code Deployment (Hard Skills)
• Data Governance Creation (Hard Skills)

Job Summary:

• Manage a portfolio of enterprise data-related initiatives
• Foster relationships with key stakeholders across the business segments, both business and IT
• Build and drive plan to improve data practices for operational, reporting and analysis needs
• Synthesize business needs across the company for priority data domains into data improvement initiatives and data governance requirements
• Drive an effective framework for prioritization
• Partner with data governance team to plan, prioritize and implement solutions to data issues and governance, providing clarity on business needs and priorities
• Work closely with IT, business application and data governance teams to expand adoption of governance framework
• Help business functions find short-term tactical workarounds to data issues to meet critical business needs while also identifying initiatives to solve the core data issue
• Build organization's understanding of data lifecycles from creation to end use, working with subject matter experts in various business functions, operations and IT teams
• Identify business processes impacting data quality and collaborate with teams to improve data quality
• Develop data quality metrics measuring status & progress toward meeting business needs
• Seek out industry best practices and incorporate relevant ideas

Skills on Resume: 

• Enterprise Data Management (Hard Skills)
• Stakeholder Relationship Building (Soft Skills)
• Data Practice Improvement (Hard Skills)
• Business Needs Synthesis (Hard Skills)
• Prioritization Framework Development (Hard Skills)
• Data Governance Collaboration (Soft Skills)
• Data Issue Resolution (Soft Skills)
• Data Quality Improvement (Hard Skills)

Job Summary:

• Monitor and schedule production task
• Update processes and procedures
• Ensure successful completion of production schedule and end-of-day procedures
• Provide day-to-day support to customer-related issues and ensure timely resolutions. 
• Monitor, train and provide technical assistance to less experienced computer operators.
• Lead and assist with data control function
• Partner with internal and/or external customers on production task reporting.
• Work closely with the distribution and customer service team regarding print jobs and procedures
• Monitor and check orders, handle customer billing inquiries, update as necessary, release billing orders and distribute retail reports.
• Provide technical guidance in specialized areas of application system and software
• Process customer orders by creating log receipt of orders, contact stores for missing or late orders and release billing order and print and distribute retail labels. 
• Assist with invoice review for credits and/or additional charges and perform other duties

Skills on Resume: 

• Production Task Monitoring (Hard Skills)
• Process Updating (Hard Skills)
• Schedule Assurance (Hard Skills)
• Customer Issue Resolution (Soft Skills)
• Operator Training (Soft Skills)
• Data Control Leadership (Hard Skills)
• Task Reporting Partnership (Soft Skills)
• Technical Guidance (Hard Skills)

Job Summary:

• Create an endtoend data management program from source data collection to business data visualizations and insights ensuring the security of data in storage and data in motion.
• Implement measures to ensure data accuracy and accessibility Provide handson technical support and guidance for implementing best practices and standards that enable steps toward the envisioned future state. 
• Work with staff and customers to translate business requirements into data platform architectures for data warehouse design and extracttransformload (ETL) processes. 
• Implement advanced data analysis, statistical analysis, and data mining capabilities. 
• Collaborate closely with other groups within and outside IT Database Administration, IT Engineering, Business Analysis, and various functional units in business. 
• Provide guidance to the VP and Director of IT regarding data governance best practices. 
• Establish continuous learning practices for the team to keep pace with everchanging data capabilities. 
• Practice industry research and rapid prototyping practices to understand and explore emerging technologies.
• Partner with technology and operations teams to implement data policy.
• Partner with business, operations and technology to build out data dictionaries and business glossaries.
• Provide oversight into data, data systems, and process improvements required to monitor and improve business data quality.
• Develop and implement a data governance scorecard covering Data Quality and Data Control.

Skills on Resume: 

• Data Management Program Development (Hard Skills)
• Data Accuracy Assurance (Hard Skills)
• Technical Support (Hard Skills)
• Advanced Data Analysis (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Data Governance Expertise (Hard Skills)
• Continuous Learning Culture (Soft Skills)
• Data Quality Improvement (Hard Skills)

Job Summary:

• Provide hands-on technical support and management of the Technical Data Analysts and ensure work
• Delivered and engineering requirements met.
• Manage analyst resource capacity to meet engineering demand
• Ownership of all effort estimates for data change work requiring analyst support
• Foster collaborative partnerships with the engineering teams to refine effective ways of working
• Facilitate SCRUM ceremonies and embed ways of working within the team to align to engineering ways of working sprint/Kanban using JIRA
• Coach and mentor the team to ensure self-development objectives are met
• Support and guide engineering teams to deliver requirements from concept to final production
• Support internal change initiatives that optimize and enable the development of new data platform features
• Translate business requirements into source data requirements and then assess source data characteristics, including availability, structure and content
• Analyze and profile source data, including the application of data classifications
• Provide analysis and recommendations to drive internal change

Skills on Resume: 

• Technical Support Management (Hard Skills)
• Resource Capacity Management (Hard Skills)
• Effort Estimation (Hard Skills)
• Collaboration (Soft Skills)
• SCRUM Facilitation (Hard Skills)
• Coaching (Soft Skills)
• Requirements Translation (Hard Skills)
• Data Analysis (Hard Skills)

Job Summary:

• Collaborate with a line of business data owners to assess, prioritize and mitigate risks that may affect business operations and regulatory compliance resulting from data quality issues
• Responds promptly to customer needs and takes a customer-centric approach to problem-solving related to data management
• Solicits customer feedback to improve service
• Response to requests for service and assistance meets commitments.
• Establish and monitor data quality efforts and provide division leadership a path to resolution of data issues and develop methods
• Monitor program or area progress and take corrective action when needed.
• Establish and Coordinate council meetings, follow up on deliverables as a result of council meetings, and provide updates to division leadership of issues that arise.
• Work with division leadership to develop and promote the adoption and implementation of data policies and data strategy.
• Participating in technical design sessions working closely with the CB Data Architect and technical teams.
• Liaising with Programme Managers to ensure critical data requirements are understood and CB domains can support the requests

Skills on Resume: 

• Risk Assessment and Mitigation (Hard Skills)
• Customer-Centric Problem Solving (Soft Skills)
• Customer Feedback Solicitation (Soft Skills)
• Data Quality Management (Hard Skills)
• Progress Monitoring (Hard Skills)
• Council Meeting Coordination (Soft Skills)
• Data Policy Development (Hard Skills)
• Technical Design Participation (Hard Skills)

Job Summary:

• Facilitate the design, development, and maintenance of Enterprise Data Warehouse
• Lead a team to execute analytic projects including data analysis, data modeling, and data visualization reporting
• Engage with internal business groups such as digital marketing, sales, finance, IT, and other specialties to elicit requirements and analyze business goals
• Define business problems and propose solutions autonomously with limited guidance such as new technologies, tools & systems
• Proactively identify opportunity areas for deep-dive investigations
• Ensure changes to baseline requirements are effectively applied through the appropriate change control processes and tools
• Maintain version control, configuration, and defect management activities for all changes developed
• Defining and driving CB data activities across the domain, with a focus on two key priority areas – strategic data flows and reference data adoption.  
• Collaborating with the CB Data Architect to define the CB Data Strategy
• Analysis of business processes and translation of specifications into domain-specific requirements.

Skills on Resume: 

• Data Warehouse Design (Hard Skills)
• Team Leadership (Soft Skills)
• Requirements Elicitation (Soft Skills)
• Problem-Solving (Soft Skills)
• Proactive Analysis (Soft Skills)
• Change Control Management (Hard Skills)
• Version Control (Hard Skills)
• Collaboration on Data Strategy (Soft Skills)