Collaborate with developers on data ingestion to ensure high performing data processing, inclusion of data quality checks/balances with the expectation of an extensible data model adapting to new project requirements.

More Uses of the Reference Data Management Toolkit:

  • Secure that your business provides leadership and guidance and/or directly develops Metadata Management progress and quality performance measurements.
  • Make sure that your organization verifies all details of the client/product from a regulatory and control perspective for organizational Client Accounts.
  • Deliver data architecture and solutions for critical strategic portfolio projects in collaboration with business and IT stakeholders.
  • Establish that your enterprise keeps abreast of your organizations operational procedures and best practices in business strategy and process/quality improvements; using knowledge to recommend customized business solutions to internal clients.
  • Establish enterprise level Data Security, Master Data Management and Reference Data Management guidelines.
  • Orchestrate: directly impacts the area through shared responsibility for delivery of end results and contribution to planning, budget management and formulation of procedures; influences resource planning.
  • Provide guidance on the creation and best practices around Data Governance, Data Stewardship and overall Data Quality initiatives and processes, as part of the overall data effort.
  • Be certain that your enterprise acts as advisor or coach to new or lower level personnel on operational processes/procedures across multiple functions and/or departments.
  • Collaborate with the Enterprise architecture and client IT team as warranted to establish and implement strategic initiatives.
  • Provide estimate, collaborate on project schedule, and contribute to project plan through documentation of tasks and requirements.
  • Be knowledgeable of hardware and software capabilities and limitations supporting the functional system.
  • Support the establishment of standards and guidelines in support of data management processes for monitoring and improving data quality, Metadata management and master/Reference Data Management.
  • Translate detailed business requirements into optimal technology solutions using AWS serverless, EC2 and other leading open source tools and technologies.
  • Develop and maintain conceptual, logical, and physical big data platform, database and data warehouse architectures.
  • Develop: discovery and documentation of stewardship, key metrics, business term curation, Reference Data Management and reporting lineage.
  • Organize: review functional and technical requirements, raising potential issues and participating actively in design considerations.
  • Perform requirement analysis, data profiling, effort estimation for database and data warehouse design and development.
  • Drive: leverage existing tools to create data visualizations and mentor the business to be self sufficient.
  • Collaborate with developers and business user teams in considering about the new features and provide suggestions.
  • Arrange that your organization serves as business owner of Metadata management for your organization represents the business interests, requirements, etc.
  • Develop and maintain system for effective review of procedures to support quality of financial data.
  • Manage work with potential and existing customers supporting the pre sales / solutions team throughout the sales process, with a focus on front to back investment management solutions opportunities.
  • Manage technical delivery for projects, designs processes, manage and drive execution with help of consultants and associates.
  • Provide technical leadership in areas as master data management and Reference Data Management to reduce duplication and redundancy for core data objects.
  • Become capable of designing, testing and delivering solutions to operational support for implementation.
  • Follow established processes for configuration and release management to ensure that all project artifacts are managed, integrated, and versioned, and monitored according to standards.
  • Manage design and development teams to bring customer driven workflows across legacy products onto the platform, starting with a minimum viable product (MVP) and beyond.
  • Lead: advisory subject matter knowledge (for key requirements as mpp) and trusted advisor on risk and control issues to management and staff.
  • Be accountable for understanding data integration, data quality, data architecture and master data management, project life cycle phases, best practices, and processes.
  • Collaborate with teams across the business and determine impact on the overall control environment of any noted issues.

 

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