• Support the management of the MDM data life cycle
• Sound data analysis, and rationalizing MDM’s information strategy.
• Ensures seamless flow and consumption of master data across various systems and functions.
• Execute the policies, standards, and processes for Master Data Management.
• Execute reports and audit controls to ensure enterprise data is accurate, complete, and reliable.
• Partner with functional data owners within the business.
• Continuous improvement and monitoring aspects of data quality
• Ensure high-quality standards are applied to the data sets accurately
• Validate data as it enters the environment to ensure inputs are complying with data quality expectations
• Build relationships outside of Operations including Risk and Enterprise Data Office
• Develop PowerPoint decks for communications and stakeholder meetings

Skills: Master Data Management, Data Analysis, Data Quality Assurance, Policy Execution, Data Governance, Stakeholder Engagement, Continuous Improvement, Reporting and Audit Control

• Creating global master data objects, in conjunction with standard processes and business needs of the plant
• Translate as a liaison between regional plant constituents and the master data team.
• Creating training material in line with the governance established for master data.
• Developing load templates to automate data processes.
• Managing product launch processes for new customer programs.
• Auditing facility master data maintenance.
• Developing governance strategies for data objects and naming conventions.
• Creating and maintaining procedures, instructions and quick reference guides.
• Develop virtualization strategies for new processes and programs.
• Supporting compliance and computer software validation audits.
• Compiling test scripts and executing tests to validate the integrity of the master data process and manufacturing transfer effectiveness.

Skills: Master Data Creation, Stakeholder Liaison, Training Material Development, Data Process Automation, Product Launch Management, Data Auditing, Governance Strategy Development, Compliance Support

• Responsible for defining the data governance policy and standards in the ODX platform and implementing governance on key data domains
• Part of the DGC and creating an overall implementation plan for data management
• Assist with the implementation of the enterprise metadata architecture
• In collaboration with business owners and data team to define and maintain the business glossary and data dictionaries
• Define the data quality standards and govern those standards across the different data domains
• Serve as a primary contact point in supporting the resolution of incident management issues for business partners
• Interact effectively with data owners (internal & external), facilitate data governance meetings, and build consensus on the future direction
• Operationalize data governance and data quality issue management framework for enterprise-wide Operations
• Apply operations process knowledge to data concepts and frameworks. 
• Motivated and enthusiastic self-study is expected to learn all processes in Operations. 
• Execution of mass data maintenance under protocol.

Skills: Data Governance, Metadata Management, Business Glossary Development, Data Quality Standards, Incident Management Support, Stakeholder Engagement, Operational Framework Implementation, Process Knowledge Application

• Develop systematic rules for collecting and processing ESG raw data.
• Confirm that ESG raw data is informed by and compatible with prevailing ESG disclosure standards.
• Develop metadata based on required corporate ESG data elements.
• Conceptualize and build cohesive ESG data architecture.
• Operationalise rules to increase the efficiency of data collection (for example targeting given ESG data elements to a specific range of industries).
• Evaluate and troubleshoot proposed data structures and hierarchy.
• Conduct regular analysis of data output to identify deviations for further scrutiny.
• Collaborate with the ESG Data Governance lead in operationalizing the expansion of ESG datasets, including alternative data.
• Provide support to the Program Specialists on any issues relating to setting up or changing master data objects.
• Support of data migration for acquisitions.
• Support plants in transferring and extending master data.

Skills: ESG Data Management, Data Compatibility Assessment, Metadata Development, Data Architecture Design, Data Collection Optimization, Data Structure Evaluation, Data Analysis and Troubleshooting, Master Data Support

• Setting up data management using the target operating model
• Defining and understanding the current state and expectations of the data dictionaries
• Translating the Data policies set by the organization and determining how the data management tasks can be achieved
• Creating and maintaining business glossaries
• Analyzing the data management and data quality requirements within the CBT scope and recommending optimizations  to  stakeholders
• Setting up data lineage and coordinating data issues
• Communicating processes to key stakeholders and program participants
• Designing processes for updating data dictionaries and Business glossaries
• Describing and defining the roles of end users in embedding data management in the Corporate Banking domain
• Developing audit profiles to create business rules for automated data quality compliance
• Leading change initiatives concerning the business asset data processes

Skills: Data Management Implementation, Data Dictionary Development, Policy Translation, Business Glossary Maintenance, Data Quality Analysis, Data Lineage Coordination, Stakeholder Communication, Audit Profile Development

• Define and catalog critical data elements within the financial databases. 
• Support multiple data categories and interact with individuals supporting each category.
• Work on documenting key data sources and contents in ERP tables to be leveraged for automation of data flows and process improvements.
• Develop and document data flows and data quality policies and procedures.
• Recommend consistent business naming standards for use across the company
• Develop data definitions, standard calculations, and business rules.
• Communicate proper understanding and use of metadata requirements for critical data elements to Data Owners.
• Assess and report on the quality of data across the Finance organization to the Finance Executive Team. 
• Participate in projects to improve data quality and data integrity.
• Maintain an efficient process to ensure accurate information is delivered to users. 
• Recommend and develop process improvements with data flow and quality.

Skills: Data Element Cataloging, Data Source Documentation, Data Flow Development, Data Quality Policy Creation, Business Naming Standards Recommendation, Data Definition and Calculation Development, Metadata Communication, Data Quality Assessment

• Impact assessment on changed/new strategic policies for business requirements concerning the asset data domain processes
• Translating strategic policies to business requirements concerning the asset data domain processes
• Inform stakeholders of the AMT-DM business asset data management processes
• Bridge the gap between the data strategic team and the data operational teams concerning strategy policies and business asset data processes.
• Coordinate with business and technology partners to participate in the Business Intelligence/Data Warehouse development effort to analyze, map, and define requirements. 
• Ensure the developed outcome meets the business needs.
• Collaborate with IT staff to develop strategies for warehouse implementation, data acquisition, and archive processes.
• Perform system administration duties for assigned configurable enterprise systems.
• Ensuring adherence to relevant data policies, standards, and guidelines
• Maintaining the data glossary, classification, and data quality standards of data elements across specific data domain
• Maintaining metadata information according to stakeholder’s input and Data Owner approval

Skills: Impact Assessment, Strategic Policy Translation, Stakeholder Communication, Data Process Coordination, Business Intelligence Collaboration, System Administration, Data Policy Adherence, Metadata Management

• Impacts quality of their work by managing data with confidence, while planning and prioritizing their projects and the work of others on their team
• Utilizes technical experiences and judgment to properly manage data with a moderate level of guidance and direction
• Provides informal guidance to new plant-level master data users and impacts the work of others within their team
• Effectively communicates complex information involving other subject matter experts and stakeholders to meet organizational goals and deadlines
• Supporting the data modeling and data architecture team in defining and evolving the enterprise data landscape
• Supporting data quality, data security, data privacy, and data protection initiatives and monitoring relevant KPIs
• Write URS for new database functionality
• Creates production orders so that the required components are delivered as soon as possible (e.g. joint test order)
• Create, maintain and improve SOPs for simple and/or local processes
• Apply Danaher Problem Solving Process to resolve day-to-day problems
• Support operations by troubleshooting documentation issues and closing related non-conformities in SmartSolve

Skills: Data Management, Project Planning and Prioritization, Team Guidance, Effective Communication, Data Modeling Support, Data Quality and Security Monitoring, User Requirements Specification Development, Standard Operating Procedures Improvement

• Receive customer-approved finished goods drawings to set up the corresponding part numbers in SAP
• Receive approved chamber drawings to set up the corresponding part numbers in SAP, so that chambers can be produced and incorporated in finished good BOMs
• Receive approved components in ACMS to set up corresponding part numbers in SAP
• Set up the batch manufacturing record and corresponding labels, to be approved by Engineering and Quality
• Follows the change control process in SAP called ECN to update the master data, bill of material, routing, batch manufacturing records and labels where necessary
• Execute (mass) changes in SAP, batch manufacturing records, and labels as part of data maintenance, management of change, continuous improvement, or changes in component status
• Preparation of required data using data extracts from databases (SAP, EnLabel, ACMS, etc.) for daily meetings and recurring routines. Use queries and pivot tables where required.
• Point of contact for the production site’s master data key user
• Site data maintenance and clean-up as part of the central master data team
• Point of contact for the global master data team
• Perform system administration duties for assigned configurable enterprise systems.

Skills: SAP Master Data Management, Bill of Materials Setup, Change Control Process, Batch Manufacturing Record Preparation, Data Maintenance and Management, Data Extraction and Analysis, Cross-Functional Communication, System Administration

• Coordinate with business and technology partners by providing data management and technical expertise to participate in the data strategy 
• Analyze, map, and define requirements, anticipate data management needs, and ensure the developed outcome meets the business needs.
• Customize and configure the application at the pace of business needs
• Recommend consistent standards for use across the Association, develop business term and data element naming conventions, data definitions, standard calculations, and business rules.
• Communicate proper understanding and use of metadata requirements for data elements contained within the Association data warehouse.
• Provide an enterprise view to measure and report on the quality of data across the organization.
• Recommend and participate in efforts to improve data quality and data integrity.
• Actively participate in the Association’s data literacy training efforts.
• Recommend data-centric process improvements to ensure they are designed and implemented with the clear goal of generating, collecting, and utilizing clean, relevant information [data].
• Assist in defining and cataloging business terms and data elements within the Association’s metadata repository.
• Assist in defining and implementing business rules to monitor and enhance the Association’s data quality.

Skills: Data Management Coordination, Requirements Analysis, Application Customization, Data Standards Development, Metadata Communication, Data Quality Reporting, Data Literacy Training, Process Improvement Recommendations

• Pharmaceutical CRM/Data Steward experience with a good understanding of Pharma Marketing and Sales processes
• Pharmaceutical Sales and Marketing experience
• Prior Veeva Administrator and/or Veeva Align Certifications 
• Proven Veeva process and functionality expertise including conveying the training of key users
• CRM and Segmentation and Targeting knowledge and experience
• Demonstrated proficiency in successfully providing reporting solutions to business stakeholders
• Expert analytical skills with advanced Excel skills
• Proven track record of project management
• Strong interpersonal/relationship-building skills
• Ability to develop and implement innovative ideas and creative concepts.
• Ability to work independently with minimal guidance, determine own priorities and monitor resources within own work

Qualifications: BS in Mathematics with 4 years of Experience

• Proactive and result-oriented attitude and gain energy from pioneering and collaborating within a relatively new field of work in support of scientific research
• Ability to easily assimilate knowledge and not afraid to learn on the job
• Skilled in transferring and sharing knowledge with staff, students, junior researchers and senior researchers
• Ability to connect and translate various requirements (i.e., legal, policy and technical) into solutions and best practices concerning research data management and data stewardship
• Customer-oriented and supportive way of working, gain energy from supporting and solving issues for others
• Networking skills and feeling comfortable with connecting people and building networks
• Excellent communication and negotiating skills and can be authoritative when the situation requires it
• Excellent English language skills, both orally and in writing. 
• Experience handling privacy-sensitive data  with knowledge of GDPR
• Experience or a demonstrable affinity with research data management and data stewardship within higher education or a research institution.
• Proficiency in the Dutch language

Qualifications: BS in Computer Science with 3 years of Experience

• Working experience in data management and data governance covering strategic, operational and technical implementations.
• Working experience in working in a big data environment and developing data analytical practices.
• Exceptional strategy and execution experience in implementing data practices in a highly iterative data analytical environment.
• Strong ability to act as a data detective and positive catalyst for understanding and shaping the processes that contribute to the data supply chain.
• Strong data provisioning and data management skills such as data design, data cleansing and harmonization activities, metadata structures, object relations, and data catalog population.
• Strong ability to design data quality processes from defining, measuring, monitoring to defining and implementing corrective and preventive activities along the data supply chain (incl. change management)
• Good Data Architecture experience and knowledge of basic data modeling techniques as well as ETL processes and applications.
• Ability to define and review data engineering work and lean into technical discussions with the data engineering team. 
• Working experience in one of the following languages - SQL/Python/PySpark
• Ability to lead difficult discussions in the data governance space, making data practice judgment calls about when to step outside of the process
• Ready to lean into uncertainty and resolve priority conflicts in a fast-paced environment paired with strong intrinsic motivation to share knowledge and drive participation.

Qualifications: BS in Business Analytics with 6 years of Experience

• Have a product management mindset
• Passion for creating business value with data
• A retail/grocery background
• Experience with Alation as an enterprise data catalog
• Experience working in metadata management
• Ability to translate business requirements into critical data dependencies and requirements
• Ability to work collaboratively across teams
• Experience with data profiling or defining data quality rules
• Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff
• Ability to routinely interact with multiple levels of the organization including executive-level members of the organization
• Ability to work with the data warehouse users, IT Business Analysts, and all levels of the organization including senior leadership

Qualifications: BS in Data Science with 5 years of Experience

• Proven ability to think strategically and act operationally
• Expert in Investment process-related data, with the ability to fluently connect with investment professionals to capture requirements and solve problems
• Significant operational data management experience within the financial services sector (preferably in the buy side)
• Proven track record of execution, particularly in data-related domain
• Knowledge of data governance practices and processes
• Strong analytical background
• Experience working with business, operational data and technical teams to detail data governance and metadata requirements
• Experienced in data governance approaches, practices and learnings in large financial organizations
• Experience in contributing to business requirement documentation
• Some project management experience
• A solid grasp of Informatica data governance tools

Qualifications: BS in Information Systems with 4 years of Experience

• Experience in Sales/Marketing Operations, Data Entry, or Quality Control environment.
• Prior Knowledge of SFDC (and/or other CRM platforms)
• Competency and experience with Microsoft Office (Excel, PowerPoint, Access) to produce high-quality reports, presentations and other documents.
• Strong ability to extract, manipulate, transform and analyze large volumes of data with a high level of accuracy.
• Excellent attention to detail - you value accuracy.
• Excellent numerical and analytical skills.
• Knowledge of data cleansing, and data enrichment techniques.
• Capacity to follow procedures and workflows.
• Ability to carry out data quality control, validation and linkage.
• Understanding of data protection issues, including GDPR.
• Awareness and knowledge of industry-specific databases and data sets.

Qualifications: BS in Economics with 2 years of Experience

• Strong interpersonal and communication skills to influence staff and customers
• Strong written and oral communication skills to motivate and influence staff and customers
• Strong understanding of data management concepts, principles and practices.
• Ability to understand data models, data taxonomy, and a deep appreciation of data standards and data quality.
• Exceptional analytical, conceptual and problem-solving abilities.
• Excellent project management skills to manage multiple issues simultaneously.
• Strong presentation and interpersonal skills.
• Prior business operations role with data focus. 
• Working experience in managing/monitoring data.
• Self-confidence, high energy and tenacity in bringing issues to closure and moving forward are highly desired.
• Demonstrate and proven leadership ability along with proven project/people management skills.

Qualifications: BS in Management Information Systems with 5 years of Experience

• Experience in Pharma and/or CPG industry with a focus on supporting Commercial/Sales functions.
• Experience with HCP data, metadata, data quality, correction processes, data stewardship and administration including master data management.
• Data Stewardship experience in the commercial/sales/Pharma industry
• Experience working with SalesForce.com, Veeva CRM and CERPS
• Experience with pharma commercial syndicated, specialty data sets, affiliations & hierarchies.
• English verbal and written communication skills, and ability to present detailed analyses to non-analytical audiences
• Knowledge, technical depth, and experience in Customer Master, modern cloud-based MDM technology & platform solutions preferably in the pharma domain
• Experience using agile project management tools (Jira), DevOps & ITIL frameworks.
• Experience working on a cloud platform (e.g. Azure)
• Experience with Incident Management Systems (REMEDY)
• Experience working with offshore teams

Qualifications: BS in Computer Engineering with 6 years of Experience

• Experience in data management with a high focus on data entry and data analysis
• High attention to detail when performing data entry and analysis
• Capable of communicating and collaborating with key business stakeholders and a professional and timely manner
• General understanding of databases
• Strong analytical skills, detailed and process-oriented
• Ability to create and report on master data metrics using graphical representation (prior scorecard or visual management experience)
• Ability to work as part of a team to drive results
• Experience in developing key documentation, user guides, and other necessary training materials
• Experience in cross-training team members and key users
• Working experience with Six Sigma/Lean 
• Strong written and verbal communication skills

Qualifications: BS in Database Management with 3 years of Experience

• Demonstrable experience in Data Management
• Demonstrate the ability to build and maintain effective working relationships across the business.
• Demonstrate the ability in the development and maintenance of a highly controlled data environment.
• Knowledge of data risk and data controls.
• Understanding of data-related regulatory requirements (e.g. CPG 235, BCBS 239, NZ Privacy Law, GDPR) and emerging trends and issues.
• Strong numerical proficiency and understanding of how data connects and moves through the business
• Knowledge of data quality measurement, reporting, and remediation.
• Experience using the Informatica toolset (Business Glossary, Informatica Analyst, Enterprise Data Catalogue)
• Sharepoint and Power BI working experience
• Able to plan, prioritize, execute, and manage tasks independently.
• Experience in designing, implementing, and delivering (including presenting) training and awareness programs.

Qualifications: BS in Project Management with 5 years of Experience