Job Summary:

• Ensure the implementation of data quality processes: defining critical data, controls, alert thresholds, and escalation procedures
• Understand expected data behavior of ingested data fields
• Develop, through analysis and testing, automated data quality checks
• Develop processes for complete quality control of all platform data working towards efficiency and speed of process
• Implement and perform procedures for error identification and remediation: impact on use, root-cause analysis of data defects, definition of remediation plans
• Provide the highest quality data for users by continuously defining, developing, and adhering to a data quality process from ingestion to end user workflows
• Implement processes and perform quality control activities
•  Design dashboards to monitor data quality
• Keep abreast of developments and trends in data quality analysis
• Establish and maintain excellent relationships with internal partners

Skills on Resume:

• Data Quality (Hard Skills)
• Data Analysis (Hard Skills)
• Quality Checks (Hard Skills)
• Control Processes (Hard Skills)
• Error Remediation (Hard Skills)
• Dashboard Design (Hard Skills)
• Relationship Management (Soft Skills)
• Trend Monitoring (Hard Skills)

Job Summary:

• Responsible for the end-to-end Data Quality Processes
• Responsibility for assessing data quality improvement requests including advisory & coaching
• Prepare of improvement change requests and presentation to Senior Management
• Develop & maintain control tools used to monitor Data Quality performance globally
• Leading global Data Quality initiatives
• Monitoring / Reporting of key lead indicators of the daily and monthly Data Quality issues
• Performing deep dives/thematic reviews into key Data Quality metrics to understand the reasons for issues and suggest remediation actions by enhancement to existing controls
• Prepare and present various reports to Senior Management
• Coordinating and partnering with all Trust Management Centers globally as well as the Senior Management 
• Interacting and working cross-functional with many business partners such as Operations, Compliance and IT

Skills on Resume:

• Data Quality (Hard Skills)
• Advisory Coaching (Soft Skills)
• Change Requests (Hard Skills)
• Control Tools (Hard Skills)
• Initiative Leadership (Soft Skills)
• Performance Monitoring (Hard Skills)
• Review Analysis (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)

Job Summary:

• Establish CRM/marketing data quality objectives and KPI’s
• Evolve and maintain a cohesive DQM framework that is aligned with business priorities, CRM program objectives, and demand generation strategy
• Work with a cross-functional team of stakeholders to facilitate CRM/marketing data governance structure
• Actively participate in enterprise data governance activities to ensure consistent alignment, evolution and adherence to standards across data sets
• Maintain, support and evolve CRM/marketing data stewardship and accountability model
• Develop, document and refine best practices and standard operating procedures for data collection, cleansing, enrichment, deduplication and enhancement of data
• Provide ongoing training and support to data stewards and information owners to ensure understanding of and adherence to, data quality standards are maintained
• Engage with leadership and key stakeholders to drive adoption of good data management practice across the business

Skills on Resume:

• Data Quality Objectives (Hard Skills)
• DQM Framework (Hard Skills)
• Data Governance (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Stewardship Model (Hard Skills)
• Best Practices Development (Hard Skills)
• Training Support (Soft Skills)
• Data Management Adoption (Soft Skills)

Job Summary:

• Developing, implementing and maintaining a data quality plan for the coding department. 
• Gathering, reviewing and acting upon coding quality data gleaned from within, and outside of the organization
• Staying abreast of industry standards and governmental regulations and creating coding compliance plans to address 
• Working with Coding Director, Supervisors, Prebill Auditor, and Educator to complete a continuous feedback loop based on quality initiatives and review findings 
• Create useful, routine reports for the Coding and Clinical Documentation Improvement Departments within deadlines
• Supports all IT activities, initiatives, and collaborations with various technical staff. 
• Help develop corporate IT systems and networks, ensuring the most effective architecture and functionality. 
• Work closely with property managers, instructing them and supporting their tasks with SAP.
• Adding data to a system to create a calculation that is of high quality and accuracy
• Regularly doing systematic quality checks for all master data stored in the system
• Contacting people from internal departments and external service providers on topics related to master data
• Supporting ancillary cost accounting and ensure data quality

Skills on Resume:

• Data Quality Plan (Hard Skills)
• Quality Data Review (Hard Skills)
• Compliance Planning (Hard Skills)
• Feedback Collaboration (Soft Skills)
• Reporting Skills (Hard Skills)
• IT Support (Soft Skills)
• Master Data Checks (Hard Skills)
• Cost Accounting Support (Hard Skills)

Job Summary:

• Run exception reports to identify shortages in data and design and execute programs to remedy 
• Lead a small internal team and outsourced team to execute data improvement projects 
• Work closely with the sales team to identify opportunities to improve data via customer feedback and internal needs of the sales team 
• Import and manage migration between data sources used for internal and external purposes 
• Execute and compile surveys to expand data offerings 
• Provide formal and written communications regarding issue status and resolution 
• Verify data for accuracy and completeness 
• Perform audits of own work or that of others to ensure conformance with established procedures or to resolve routine issues 
• Manipulate and transform data to optimize analyses 
• Construct additional reports or tools to assist in the analysis 
• Drive automation of processes to eliminate manual tasks 
• Work with all lines of business on understanding the business impacts and prioritizing data quality. 
• Institute proper monitoring, measuring, and reporting around data quality

Skills on Resume:

• Exception Reporting (Hard Skills)
• Team Leadership (Soft Skills)
• Data Improvement (Hard Skills)
• Data Migration (Hard Skills)
• Survey Execution (Hard Skills)
• Data Verification (Hard Skills)
• Process Automation (Hard Skills)
• Data Quality Monitoring (Hard Skills)

Job Summary:

• Manage the regular monitoring of disease registration data to identify missing, invalid, inconsistent and or unusual data and bring findings to attention of the QA, Registration, QC, IT and or audit and analysis teams
• Investigate specific data quality issues, making proposals for their resolution and developing monitoring reports 
• Acquire and maintain a thorough working knowledge of the current registration data pathway from data loading to analytical view
• Understanding the basic principles and procedures of disease registration by attending relevant training days. 
• Create standard and bespoke reports on the quality of registration data nationally, to ensure a consistent and comparable registration process.
• Be skilled in the use of Structured Query Language (SQL) to extract/analyse data from the NCARDRS Database (CARA) and the NCRAS Database (Encore) to produce performance metrics and quality indicators
• Provide operational feedback to NDRS Managers / teams to support development of long-term strategies to establish and maintain high quality standards and drive processes for registration, data analysis and reporting.
• Present data for different audiences and purposes, and in different media, as appropriate, refining data for local reporting requirements.
• Work with other regional teams in NDRS as required, attending relevant national meetings and contributing to the ongoing development of the registers.

Skills on Resume:

• Data Monitoring (Hard Skills)
• SQL Analysis (Hard Skills)
• Report Creation (Hard Skills)
• Registration Knowledge (Hard Skills)
• Issue Investigation (Hard Skills)
• Metrics Development (Hard Skills)
• Team Collaboration (Soft Skills)
• Presentation Skills (Soft Skills)

Job Summary:

• Manage, prioritize, track and help resolve Data Quality requirements and/or issues from different stakeholders, building strong relationships throughout the business.
• Work together with the Data Integration team ensuring high-quality data across all systems and datasets.
• Collaborate closely with teams within Miele X, such as Data Analytics, Digital Marketing, eCommerce, IT, HR, to ensure Data is of high quality and fit for purpose.
• Develop procedures to enhance the integrity and accuracy of data.
• Support the Data Analytics team needs and requests regarding Data Quality.
• Participating in and managing local and international projects related to Data Quality Management.
• Creating synergy within the Miele X by striving for optimal performance, connections and mutual commitment between individual business units.
• Implement a “Data Quality” strategy around priority data and animate it.
• Define the right data quality indicators for scope and put in place the tools necessary to supervise them.
• Extract and manipulate a set of data from different information systems in order to be able to compare them and thus identify any integrity errors that may exist.
• Listening to the technical and functional teams of the referencing process in order to determine "Data Quality" needs.
• Follow production incidents / problems related to data quality in order to develop “Data Quality” strategy in close collaboration with the data owners concerned

Skills on Resume:

• Data Quality Management (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Integrity Procedures (Hard Skills)
• Data Analysis Support (Hard Skills)
• Project Management (Hard Skills)
• Performance Optimization (Soft Skills)
• Data Quality Strategy (Hard Skills)
• Data Extraction Skills (Hard Skills)

Job Summary:

• Develop and maintain quality, efficiency, and process metrics for Customer Operations Departments (Customer Experience, Accessioning, Reporting, Internal Data Entry)
• Manage, train, and develop the remote Quality Control staff 
• Develop staff according to the needs of the business, company policies and applicable regulations and procedures.
• Identify opportunities for process and workflow improvements to ensure department procedures are streamlined to meet quality/efficiency goals and improve overall customer experience.
• Organize and maintain metrics for communication in cross-team discussions on performance and productivity
• Formulate in conjunction with Data Analytics the development of dashboards to present these metrics
• Lead discussion in process improvement rooted in the analysis and implications of these metrics related to Operations, Manufacturing, and/or customer feedback
• Continually evaluate and improve training requirements for department staff
• Engage with (or may lead) quality networks as well as the business unit and associates toward the effective promotion and alignment of organizational goals to the company’s mission and vision.
• Continuously evaluate progress toward objectives adapting them to meet customer and business needs
• Pursue and actively manage key stakeholder relationships that support the broader strategy that are impacted by plant/business/function objectives
• Maintain positive and cooperative communication and collaboration with all levels of employees, customer, contractors, and vendors.

Skills on Resume:

• Quality Metrics Development (Hard Skills)
• Staff Training (Soft Skills)
• Process Improvement (Hard Skills)
• Cross-Team Communication (Soft Skills)
• Dashboard Creation (Hard Skills)
• Performance Analysis (Hard Skills)
• Stakeholder Management (Soft Skills)
• Collaborative Communication (Soft Skills)

Job Summary:

• Manage employee career development by providing coaching and mentoring to junior data quality analysts while guiding senior contributors to maximize their potential. 
• Provide continuous performance feedback, collaborate with employees on their objectives and provide a clear path for progression through personal development plans.
• Serve as a first level of contact for the DQ Analysts when they encounter issues/challenges with operations teams.
• Collaborate on roadmaps with Product Managers and Tech Leads to ensure the team has clear direction and priorities. 
• Ensure there is cross-training and a healthy balance between automation and deliverables.
• Serve as the DQ analyst team’s Scrum Master, breaking down roadblocks as well as managing communications with stakeholders and dependent teams. 
• Create a culture of continuous improvement through retrospection.
• Develop and manage training materials, data labeling run-books and various data governance modules.
• Provide analytical support to Engineering and Product Management by publishing Excel/QlikView/QlikSense reports.
• Foster leadership principles and behaviors throughout the organization to groom the next generation of leaders.
• Recruiting and motivating top talent.

Skills on Resume:

• Career Development (Soft Skills)
• Performance Feedback (Soft Skills)
• Issue Resolution (Soft Skills)
• Roadmap Collaboration (Soft Skills)
• Scrum Master (Hard Skills)
• Continuous Improvement (Soft Skills)
• Training Development (Hard Skills)
• Analytical Support (Hard Skills)

Job Summary:

• Establishing governance frameworks within Mendix that introduces data ownership within each business unit (responsibility and accountability)
• Establishing governance frameworks and processes around data creation, processing, and reporting within each business unit
• Coordinating with stakeholders to gather, map, and document metadata from each business unit (master data management)
• Coordinating with stakeholders to create a clear overview of data flows between systems and data used in reporting
• Setting standards for data quality and data accuracy for products created by the analytics CoE
• Monitor and improve data quality and being able to identify and improve the reliability of the data
• Being a key consulting stakeholder when the business has questions related to the internal data landscape
• Identifying risks and solutions for projects where the internal data landscape is involved
• Planning and creating the internal data landscape roadmap and strategy.
• Establish data governance processes and frameworks in the organization that will truly empower the business to use data

Skills on Resume:

• Governance Frameworks (Hard Skills)
• Data Ownership (Soft Skills)
• Metadata Management (Hard Skills)
• Data Flow Coordination (Soft Skills)
• Data Quality Standards (Hard Skills)
• Reliability Improvement (Hard Skills)
• Risk Identification (Soft Skills)
• Strategic Planning (Hard Skills)

Job Summary:

• Manage the data quality team, making it a fun place to work
• Recruit and retain well qualified and high performing team members
• Continuously quality improve data in a systematic and organized way
• Interface with the IT and Machine Learning teams, responsible for automation of data quality improvement
• Lead the implementation of new data modules
• Manage technical client feedback and queries (technical account management)
• Work in a dynamic environment that is highly client focused.
• Build a collective to succeed in significantly raising the level of data quality in area of ​​responsibility
• Writing, facilitating and following the standards and methods put in place for this collective.
• Manage a workload of data quality tests that need to be built, tested and rolled out
• Develop a catalog of data quality rules and tests in the data governance framework and tools
• Develop a catalog of data governance artefacts to support data quality management
• Develop a catalog of data quality and insights reports using Talend, SQL, Excel and Power BI

Skills on Resume:

• Team Management (Soft Skills)
• Recruitment Strategies (Soft Skills)
• Continuous Improvement (Hard Skills)
• Client Management (Soft Skills)
• Data Quality Standards (Hard Skills)
• Workload Management (Hard Skills)
• Governance Frameworks (Hard Skills)
• Reporting Skills (Hard Skills)

Job Summary:

• Understand client data quality issues and define associated priorities
• Coordinate across regions and agree with O&T on approach, plan and tradeoffs to remediate multiple data quality issues
• Identifying, challenging, documenting, and where appropriate escalating risks
• Conducting analysis on emerging/potential issues.
• Providing value added feedback to the Technology and EOT and organization leads and the Payments & Receivables management staff.
• Coordinating with  global core product development team, global product management and country/cluster/regional partners with clear roles & responsibilities, and shared goals and visions
• Responding to inquiries, supporting business in audits, and partnering with Risk, Compliance, Technology and other stakeholders.
• Take requests from business stakeholders and/or other members of the data governance central team, and turn into data quality tasks
• Monitor the completeness and accuracy of data governance artifacts, for example the data dictionary and data quality rule log

Skills on Resume:

• Data Quality Analysis (Hard Skills)
• Coordination Skills (Soft Skills)
• Risk Management (Soft Skills)
• Issue Documentation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Audit Support (Soft Skills)
• Task Management (Hard Skills)
• Data Governance Monitoring (Hard Skills)

Job Summary:

• Analyze complex data quality enrichment and cleansing requests from Data Stewards and Data Champions. 
• Implement data cleansing and linking strategy as per detailed data quality improvement strategy and execute Data Quality corrections for various functions and lighthouse projects Liaise with the Data Stewards, Data Champions and Data Solution Designer to realize agenda of continuous and active Data Governance.
• Rolling out the periodical Data Quality assessments, DQ important metric measurements, Gap analysis & Continuous improvement to ensure that active Data Governance is achieved, and data quality meets business need and complies with mandatory standards. 
• Develop training materials, documents on scope of the reports, data quality rules and various data governance modules
• Provide analytical support to business by publishing Excel/QlikView/Qliksense reports for Data quality. 
• Perform root cause analysis on data inconsistencies highlighted by users and recommending improvements. 
• Gather business requirements for data management functionality and translating the information to developers to help building effective information flow
• Develop and confirm data dictionary rules ensuring business understands the rules and its value for improving data quality. 
• Ensure adherence to the established Data quality processes, which includes 100% compliant to training completion for self and associates, proactive CAPA update and preparation for audit readiness
• Ensure exemplary communication with all partners including internal associates through regular updates with focus on accomplishments, important metrics, standard methodologies, change management, key events, etc.
• Mentoring team, Identify and resolves operational issues, clearly articulate potential recommendations/solutions to all partners. 
• Anticipating change and acting in accordance, drive meticulous implementation of team goals and metrics
• Proactively report all issues/deviations in a timely manner. 

Skills on Resume:

• Data Analysis (Hard Skills)
• Data Cleansing (Hard Skills)
• Governance Liaison (Soft Skills)
• Metric Assessment (Hard Skills)
• Training Development (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Requirements Gathering (Hard Skills)
• Communication Skills (Soft Skills)

Job Summary:

• Implement continuous process improvement projects to enhance quality & productivity.
• Ensure Training on relevant procedures before taking up any GxP activities. 
• Report deliverable status and continuously acquire process knowledge
• Manage relationships with all data users, actively driving engagement, adoption and usage and providing processes, training and support to ensure data quality standards are maintained. 
• Drives continuous improvement regarding Data Management Processes, Tools and Rules by aligning processes and business requirements.
• Support strategic rollout of Data Governance framework across NTO.
• Craft the consumption of data structure to reflect needs of various evolving business requirements & use cases across the NTO ecosystem. 
• Serve as the data representative for business in order to build clear data use cases (both primary & derived). 
• Drive a strong Data Quality Management culture within team particularly focusing on improving Master Data Quality and enabling Master Data Governance by publishing meaningful metrics & Reports. 
• Drives Data Quality improvement across the organization for consistency, correctness and completeness. 
• Drives FAIRification of data across various domains. 
• Support and facilitate data enabled decision making for Novartis internal customers by providing quality data.

Skills on Resume:

• Process Improvement (Hard Skills)
• Training Coordination (Soft Skills)
• Relationship Management (Soft Skills)
• Data Governance (Hard Skills)
• Data Structure Design (Hard Skills)
• Quality Management (Hard Skills)
• Metric Reporting (Hard Skills)
• Data Quality Culture (Soft Skills)