Job Summary:

• Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers
• Develop and implement an Action Plan to execute the endorsed Data Management Business Case, Data Strategy and Data Governance Framework
• Manage end-to-end process for menu item and recipe requests, within established deadlines and SLAs
• Maintain menu and recipe master data in MDS, ensuring compliance with established business rules
• Ensure all steps within the designated workflow are completed
• Perform quality assurance testing to ensure data accuracy and completeness (minimize data errors and exceptions that may negatively impact BBI Operations)
• Adhere to naming conventions and numbering policies determined for master data repositories and enforce data standards
• Make decisions and recommendations around data management and communicate to cross-functional stakeholders
• Establish strong relationships with internal and external customers, including but not limited to R&D, Supply Chain, Finance, IT, Productivity, Marketing, and Operations
• Develop and execute an audit schedule for auditing data to ensure data integrity
• Own and ensure compliance with all master data workflows, continuously finding efficiencies in the workflows
• Provide support for strategic data management initiatives
• Build user trust and confidence in master data and serve as a subject matter expert

Skills on Resume: 

• Agile Development (Hard Skills)
• Data Strategy Execution (Hard Skills)
• Master Data Management (Hard Skills)
• Quality Assurance (Hard Skills)
• Data Governance (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Workflow Compliance (Hard Skills)
• Audit Management (Hard Skills)

Job Summary:

• Interface with internal customers to address questions and requests related to data assets
• Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data sources
• Develop and drive data management strategy enabling data products that will help hundreds of staff in supporting customers, and influence business strategy.
• Develop, mature and implementation of a data management framework and associated best practices.
• Drive implementation of Data Ownership framework in Allianz UK
• Coordinate agile teams supporting the delivery of Data Management and Governance tooling in cloud environment
• Collaborate with colleagues from Allianz SE and other Operational Entities, successfully drive AZI's agenda through those channels
• Drive a better understanding of the value of data with stakeholders and users and contribute to improvements in data management and data quality.
• Support data forums, help to identify improvement opportunities by understanding specific business area's value drivers and help recommend value-driven solutions to key stakeholders
• Build relationships and collaborate with stakeholders around the business in helping to create data-driven solutions to business problems.
• Work with the Product team to identify and recommend strategic data acquisitions
• Ownership of the customer-facing Govini Data Catalog

Skills on Resume: 

• Internal Customer Engagement (Soft Skills)
• Data Management Strategy (Hard Skills)
• Data Framework Development (Hard Skills)
• Data Ownership Implementation (Hard Skills)
• Agile Team Coordination (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Quality Improvement (Hard Skills)
• Strategic Data Acquisition (Hard Skills)

Job Summary:

• Helping to define Pension information governance framework and data model/architecture, and developing a consolidated enterprise information architecture for shared digital information, structured and unstructured
• Developing and implementing information and data standards to align with long-range strategic plans for maintaining, managing, archiving and purging digital assets
• Developing and maintaining architectural guidance documents and artifacts and models, practices and procedures
• Helping to develop conceptual information models
• Creating Data Standards for Pension data, and helping to ensure Pension information is maintained in line with those standards
• Creating and maintaining an Information Object Catalog
• Ensuring that IT and business stakeholders understand and adhere to architectural guidance, standards, policies, and practices
• Identifying implementation risks and analyzing potential impact
• Participating in the development and maintenance of plans to address the evolution of existing and new business information for the Pension teams
• Developing and maintaining relationships across the organization to determine information needs, ensuring superior customer service is being delivered
• Recognizing and identifying potential areas where existing information security policies and procedures require change, or where new ones need to be developed
• Assisting other team members with data needs

Skills on Resume: 

• Information Governance Framework (Hard Skills)
• Data Standards Development (Hard Skills)
• Architectural Guidance (Hard Skills)
• Conceptual Information Modeling (Hard Skills)
• Information Object Catalog (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Risk Analysis (Hard Skills)
• Customer Relationship Management (Soft Skills)

Job Summary:

• Responsible for the development of strategy, roadmap and business collaboration as related to Data management support
• Defines administration and support practices/standards
• Manages support teams
• Ensures that the SLA's for each component of the Data management platform are met
• Ensures that the Data Management platform components are upgraded and kept current.
• Evaluate and recommend platform and technology solutions based on Informatica product roadmap
• Ensures up-to-date operational and performance metrics reporting
• Manages Informatica platform configuration and ensures entitlements and compliance, implements and enforces security/standards, regulations and best practices governing company policies.
• Manages designing and installing the Informatica platform on Linux-based IT infrastructure both on-premise and in the cloud (Microsoft Azure).
• Ensures timely response and resolution of incidents
• Manages deployment of code and migration of objects into production and non-production environments
• Participates in design review sessions and development of IDQ mappings on a need basis

Skills on Resume: 

• Strategy Development (Hard Skills)
• Support Practices (Hard Skills)
• Team Management (Soft Skills)
• SLA Compliance (Hard Skills)
• Platform Upgrades (Hard Skills)
• Technology Evaluation (Hard Skills)
• Performance Reporting (Hard Skills)
• Informatica Configuration (Hard Skills)

Job Summary:

• Establish and lead the local data management team within the Data COE and liaise with business and support function data teams locally
• Communicate/present to business and support function data teams to enhance understanding of data management concepts
• Improve the likelihood of successful adoption of data management principles and standards
• Manage and deliver projects associated with driving policy compliance
• Develop and maintain data management metrics, including building out and supporting an enterprise-wide dashboard to track and monitor issues, policy compliance and data quality
• Support business and support function data teams in performing root cause analysis on data issues
• Identifying common themes across data issues and providing support throughout the issue management
• Build relationships with business and support function data teams to facilitate and support efforts to bring data into compliance with the new data policy
• Support data governance activities, including data analysis, meeting material preparation (particularly when it comes to reporting) and tracking follow-up activities
• Support business and support function data teams in developing and maintaining data hierarchies in the firmwide data catalog. 
• Advise data teams on best practices and support efforts to identify Data Owners, Data Authorities, Data Consumers and other components by policy
• Partner with the tooling team to continue to evolve business and user requirements for Firmwide Data Catalog (currently Collibra), the Issue Management system and other tools used to facilitate effective data management and governance

Skills on Resume: 

• Team Leadership (Soft Skills)
• Communication Skills (Soft Skills)
• Policy Compliance (Hard Skills)
• Data Management Metrics (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Relationship Building (Soft Skills)
• Data Governance Support (Hard Skills)
• Tooling Collaboration (Hard Skills)

Job Summary:

• Implementing Data Management framework (Metadata, Physical, Logical data model and Data Lineage) and Data Governance Framework (Policies, Standards and Roles). 
• Driving Data governance initiatives over the design and implementation of data analytics projects
• Develop a comprehensive Data Strategy including all 8 Data Management subject areas, which are Master Data Management, Meta Data Management, Data Quality Management, Data Governance, Data Integration, Data Analytics, Data Privacy, and Data Architecture.
• Provide a clear roadmap on how to develop these subject areas to convert data into a valuable asset for Sun Life across the three business lines, namely Individual Life and Health, Pension, and Group Life and Health in the next 5 years.
• Present the Data Management framework in business language and work with the business to maximize the value data management is capable of generating for the business. 
• Ensure the reusability of the Data Management framework
• Develop a common Data Dictionary and Data Governance model to align on the same meaning for the data across business units in Hong Kong, with the flexibility to extend to the Asia region.
• Define an efficient Data Integration model to provide timely and accurate synchronization of key data between different core systems and the Data Lake. 
• Ensure the model is flexible to extend to other entities in Asia.
• Leading the Data Management and Governance practice, leading a sizable team to build solid data management and data governance foundations while clients embark on data analytics initiatives

Skills on Resume: 

• Data Management Framework (Hard Skills)
• Governance Initiatives (Hard Skills)
• Data Strategy Development (Hard Skills)
• Business Communication (Soft Skills)
• Reusability Standards (Hard Skills)
• Data Dictionary Creation (Hard Skills)
• Integration Model Design (Hard Skills)
• Team Leadership (Soft Skills)

Job Summary:

• Led an operational team managing the end-to-end data management policies and processes for acquisition and processing, quality and governance for the Enterprise Data platform.
• Drive organizational data quality and ensure the protection of sensitive data through the adoption of performance and quality metrics, modifications to organizational behavior and processes
• Liaise with senior management to provide ongoing assurance and accountability for data quality and compliance with relevant policies
• Deploy a metadata management framework to cover data lineage, access control, data catalog, data encryption, anonymization, etc.
• Identify, collaborate with, and guide Data Stewards and Owners in various business areas to design and continuously refine and optimize data governance process
• Work closely with Data Architecture and Product Engineering to design and continuously refine the architecture
• Develop & maintain inventory of the enterprise information maps, including authoritative systems and owners
• Work with users and data team to develop benchmarks for data quality dimensions, i.e, accuracy, completeness, consistency, timeliness, uniqueness and conformity.
• Managing end-to-end project lifecycle from milestone planning, budgeting, risk management, testing and external vendor management
• Maintaining prompt communication and timely reports to stakeholders on project status while monitoring project progress on issues such as quality, costs, planning and resources.

Skills on Resume: 

• Operational Leadership (Soft Skills)
• Data Quality Assurance (Hard Skills)
• Compliance Liaison (Soft Skills)
• Metadata Management (Hard Skills)
• Data Governance Optimization (Hard Skills)
• Architecture Collaboration (Hard Skills)
• Information Inventory Management (Hard Skills)
• Project Lifecycle Management (Hard Skills)