• Assess existing data quality for data labeling projects to support Betterview’s machine vision roadmap
• Maintaining a modular library of data labeling instructions for all supported classes, and expand as needed to support the expansion of Betterview’s product suite
• Measure and report vendor annotation quality 
• Uncover weaknesses with technical definitions that can be addressed with ontology revisions
• Familiarize with basic machine learning/neural network concepts to understand how contributions train the product
• Contributing to continual improvement of data labeling pipeline with Data Annotation Manager
• Identifying opportunities for improvement of methods, data, and instructions to ensure data quality and consistency
• Become an expert in each iteration of tooling and projects
• Continuous improvement towards above standard quality and quantity, as set by leadership
• Collaboration with cross-functional teams to ensure consistent process implementation
• Updating tasks in Jira and keeping good notes

Skills: Data Quality, Labeling Management, Annotation Review, Ontology Updates, Machine Learning, Pipeline Improvement, Process Enhancement, Jira Management

• Design, maintain data quality monitoring, compliance and audits
• Develop and maintain quality assurance plans and updating as needed for security and regulatory compliance as directed by the client.
• Develop and implement test plans and procedures assuring quality and best industry standards.
• Recommends best practices for data usage and quality control and auditability in an Azure environment.
• Maintains client standards of data security and protection.
• Contribute to data annotation plans and data annotation guidelines.
• Identify, compare, and resolve data quality problems.
• Develop process improvements to enhance overall data annotation quality.
• Contribute to labeling machine learning data.
• Identify areas of improvement to achieve data quality.
• Maintain a record of original data and corrected data.
• Identify and resolve the root cause of low-quality data and provide feedback to respective teams.

Skills: Quality Monitoring, Compliance Audits, Assurance Plans, Test Development, Best Practices, Data Security, Annotation Quality, Root Analysis

• Defining improvement measures for data quality
• Prioritizing data quality issues in product data board
• Coordinating global product data quality with markets and central stakeholders
• Quality checks and testing of product information in PIM system for global product information
• Supporting local markets regarding global data quality standard
• Exploring, visualizing and dashboarding quality of product data 
• Preparing dashboard tutorials and implementing web-based trainings for markets and key central stakeholders
• Preparing and implementing internal and external product data audits
• Responsible for coordination of administrative support duties for Non-Invasive Lab and for Sleep Lab, including Dolby transcription system and all modalities from which reports are generated electronically
• Provides after hours support for any transcription/electronic report issues
• Responsible for overseeing and maintaining the MUSE EKG management system, covering administrative call for after hour support, education, orientation and training of staff and physicians
• Assists with departmental quality reporting for all Non-Invasive areas
• Assists Director of Non-Invasive Lab with special projects 

Skills: Data Quality Improvement, Issue Prioritization, Global Coordination, Quality Testing, Market Support, Data Visualization, Audit Preparation, System Maintenance

• Be accountable for designing data quality improvement initiatives in cooperation with Data Owners and Data Stewards, and ensure that the route cause analysis in being performed to classify the proposed improvements through data/system/process/people dimensions
• Be accountable for ensuring Data Quality solutions, individual initiatives and roadmaps agreed by Data Owners are well defined, appropriately reflect Cadent business priorities and maximise the value from the available data and technology
• Be accountable for configuration and expansion Data Quality technical solutions and driving adoption of the solutions across organisation, providing training, system support and advice to Data Stewards and respective Network Data teams driving the adoption of the Data Quality improvement framework at Cadent
• Play a pivotal role in identifying where data quality issues pose the highest risk to Cadent’s business plan and effectiveness of the existing IS solutions
• Conducting Data Maturity Assessments and Audits against Data Quality
• Setting the data quality testing standards, validation rules and defining the data quality metrics allowing measurement of the quality of Cadent data against the defined set of criteria
• Manage the testing standards and communicating relevant validation rules to build test team for ongoing data quality improvement of IS deliveries
• Setting the overall standards for all Cadent data covering the internal Data and third-party data used within Cadent based on their criticality and business value
• Implementing data rules, process and governance into the Enterprise Information Management tool and maintaining these controls
• Create and manage the data quality test improvement, identifying key improvements within processes and systems the data tables originates to ensure optimisation of the results and continuous improvement of the quality of the data
• Be accountable for identification and preparation of system improvement initiatives to be fed to the product backlog of the six product lines (Asset, Compliance, Corporate Assets, Mobility, Customer or Automation) to ensure effective resolution of data quality issues 

Skills: Quality Initiatives, Root Cause, Data Solutions, Technical Support, Risk Assessment, Maturity Audits, Testing Standards, Governance Controls

• Performs data audits to ensure quality data accuracy of clinical, claims, sales, operations information taking additional external research steps (Ex: formats, Mr. Mrs., format date uniform, among others)
• Responds to data related support requests representing validation of records, cleansing and migration of merger information from legacy applications. 
• Ensures that the data cleansing process has continuity for the systems
• Monitors existing inbound / outbound integrations within the company applications and the corporate data warehouse to maintain the overall data integrity of the company
• Builds automated data quality rules to identify duplicate data as well as cleanse inaccurate records
• Works with departments, clients, and vendors to understand data requirements which support initiatives
• Performs root cause analyses of issues and ensure remediation according to data management policies and standards
• Be accountable for successful adoption of tools and solutions within business users community and knowledge transfer to the business users, acting as a coach and trainer both from technical and methodological aspect of Data Quality solutions
• Be accountable for maintaining strong business user engagement on all matters related to Data Quality solutions, coordinating data quality surgeries, providing training and guidance on the best methods for progressing data quality improvements within the business areas

Skills: Data Audits, Support Requests, Data Cleansing, Integration Monitoring, Quality Rules, Requirements Analysis, Root Cause, User Engagement

• Experience in Pharmaceutical/Biotech industry supporting system validation, data quality management in both GxP regulated and non-GxP environments.
• Experience in data analysis, data profiling and data quality management.
• Experience with Informatica Data quality (IDQ) and Axon tools.
• Cross-functional experience with enterprise-level applications in areas such as Research, Analytical/QC, QA, Engineering, Manufacturing, Regulatory, and IT
• Good understanding of the drug and device development process from discovery through to regulatory filing and approval of drug applications as well as commercial manufacturing processes.
• Able to write clear and technically sound GxP regulated documentation able to satisfy quality assurance expectations and audits/inspections.
• Advanced knowledge of SQL, MS Excel and Visio.
• Experience with implementation or migration of data for enterprise-wide system implementation. 
• Experience in application development lifecycle.
• Excellent oral and written communication skills in English. 
• Strong expertise and ability to interview and accurately interpret communication requirements of team members.

Qualifications: BS in Data Science with 6 years of Experience

• Ability to work independently on DQ projects with minimal oversight.
• Demonstrate the ability to influence areas not under direct control to achieve objectives and effectively communicate challenging goals & objectives.
• Demonstrate strong leadership capability with ability to drive work forward, multi-task, make and act on decisions while balancing speed, quality and risk.
• Able to provide innovative ideas to improve quality and compliance that create value including seeking new information and external insights.
• Excellent interpersonal skills, including written and verbal communication.
• Strong sense of ethics, diplomacy and discretion.
• Strong critical thinking to analyze complex situations and discern critical issues.
• Able to work effectively with highly-matrixed and multicultural workforce and build strong relationships by being transparent, reliable and delivering on commitments.
• Excellent team player attitude and able to manage competing priorities.

Qualifications: BS in Computer Science with 4 years of Experience

• Experience working in operations or data quality 
• An interest in data quality, data management, and process improvement
• Comfort with basic math skills and use of Microsoft Excel
• High level of attention to detail, accuracy, and organization
• Ability to multitask and independently prioritize workload
• Ability to work extra/non-standard hours around month- and quarter-ends to support critical business processes
• Experience with VBA and SQL and ability to write SQL and data mine
• Familiarity and experience with data management practices and governance routines
• Ability to recognize and resolve incidents in data sets
• Strong organization skills and the ability to complete projects end to end
• Communication skills and the ability to work and talk to various business partners (Technology, business units, etc.)

Qualifications: BS in Information Technology with 2 years of Experience

• Knowledge of Data Quality Management practices such as Data profiling, DQ Assessment, Data Cleansing, etc.
• Ability to understand the business context and regulatory requirements to define data quality functional requirements and standards.
• Experience with Data Quality related solutions.
• Experienced in understanding data quality reports and dashboards and can effectively do root-cause analysis of data quality issues.
• Track record of developing solutions for remediating various data quality issues or a similar role that requires problem solving and stakeholder management.
• Skilled in communicating complex topics and solutions and must be open to ideas from others. 
• Can create appropriate data quality remediation plans and coordinate effectively to gain approval for the execution.
• Comfortable working in an international context. 
• Transparent, flexible and motivated to make every day a success
• Skilled, pro-active, passionate and driven to work in Data Quality. 
• Skilled communicator, analytical and a good problem-solver and can structure large amounts of data to produce clear views and actionable recommendations. 

Qualifications: BS in Statistics with 3 years of Experience

• Experience in at least 1 DQ tool - Informatica IDQ or Informatica CDQ.
• Understanding of software life cycle processes, experience working in a large-scale program with DQ, Data Migration and ETL landscape
• Broad set of technical skills and knowledge across hardware, software, systems and solutions development
• Prior experience in project/programme management across large-scale technology solutions and strategic business transformations (waterfall and agile).
• Ability to speak about and guide clients on data quality strategy, execution and roadmap
• Excellent organizational skills and the ability to manage multiple tasks
• Good interpersonal and client-handling skills
• Investigative and inquisitive mind with attention to detail (as working with data and reporting)
• Quick learner with a desire to learn the domain and its business processes, not afraid of asking questions
• Good organizational and time management skills

Qualifications: BS in Mathematics with 5 years of Experience