Own you act like owners when you hold your organization accountable for your actions, when you respond to internal and external client needs with speed and accuracy, when you set and achieve meaningful goals, and when you strive towards continuous improvement.

More Uses of the Data Management Toolkit:

  • Provide technical leadership in areas as master Data Management and reference Data Management to reduce duplication and redundancy for core data objects.
  • Supervise: design and implement strategies to monitor the effectiveness of Data Management and governance programs and identify, manage and mitigate current and emerging risks.
  • Engage with enterprise Data Management operations to coordinate and execute enterprise data governance processes, procedures and standards during master Data Management, data quality and content management activities.
  • Lead: work with the Chief Data officers on implementing the Data Management Roadmap, inclusive developing a data quality program, implementing data retention, defining new data policies and standards, and developing communicating and training programs.
  • Warrant that your strategy develops enterprise Data Management strategies and implements tools to provide visualization, reporting and business intelligence relevant data for analysis, process management, operations, and budgeting.
  • Manage the lead database and implement effective Data Management practices that support data enrichment and completeness while promoting data accuracy and hygiene.
  • Confirm your organization ensures systems, servers, appliances, communications devices and operating system/application software are properly configured for network operation, are on line and are available to customers.
  • Warrant that your business recommends initiative funding and sets priorities for the Data Management and Governance Program developing and managing data governance awareness and training.
  • Establish: partner with business stakeholders to adapt the data lake to meet the needs of business processes, data governance directives, and represent data as recognizable business entities.
  • 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.
  • Lead: counsel business and IT stakeholders on best practices related to MDM strategies for matching, survivorship, golden record creation and data federation.
  • Ensure you maximize; lead and manage master Data Management and data governance projects through all phases of the project lifecycle from planning, blueprint planning, requirements gathering, design, development, testing, and go live.
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate Data Management applications with existing systems.
  • Write scripts to Perform Data Management and data quality checks on the huge volumes historical data received, streamline and align with current data received on daily and weekly basis.
  • Be accountable for conducting analysis of the Data Management standards encompassing hardware, software, interface, protocols, and technological advances in the specialty area of procurement.
  • 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.
  • Develop and maintain data structures which draw information from multiple sources of data as corporate databases, corporate data warehouses and other.
  • Warrant that your project provides leadership to the IT Data Management Department in the areas of data warehousing, big data, business intelligence, data architecture, and other associated data related initiatives.
  • Confirm your group ensures that associated information and Data Management performs effectively and efficiently, conceptually, logically and physically for the down stream applications.
  • Secure that your business complies; partners heavily with application, data, and technology enterprise architects to develop and integrate information and application architectures, strategies, approaches, policies, standards, etc.
  • Confirm your organization coordinates the installation of database software and migrations to new Data Management system software levels, and ensures that migrations are appropriately tested and validated.
  • Formulate: partner with key stakeholders in the business to align Data Management solutions and associated expectations to drive proper business processes and deliver desired business outcomes.
  • Collaborate you collaborate when you partner with each other and promote teamwork, when you communicate clearly and effectively across the hall or around the globe, and when you welcome all forms of diversity and encourage inclusiveness.
  • Govern: 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.
  • 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.
  • 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 accountable for defining project strategy, scope, specifications, reliability, performance, and support for enterprise level applications using master Data Management (MDM), ETL process (extract, transform, load), web, and ui (user interface).
  • Collaborate with business process and data governance managers to build data strategy, direction and roadmap for master Data Management, data quality program, data warehousing/lake, business intelligence and analytics.
  • Follow established processes for configuration and release management to ensure that all project artifacts are managed, integrated, and versioned, and monitored according to standards.
  • Translate detailed business requirements into optimal technology solutions using AWS serverless, EC2 and other leading open source tools and technologies.

 

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