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Managed Data Governance Organisation

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A Managed Data Governance Organisation is focused across the enterprise, servicing a number of programmes or multiple information-centric initiatives. This organisation may be physical or virtual but it has some dedicated members.

Contents

Characteristics

A Managed Data Governance Organisation in similar to a Proactive Data Governance Organisation in that it is focused on addressing issues before they occur through Continuous Improvement, Ongoing Monitoring and Root Cause Analysis. The major difference is that a Managed Data Governance Organisation is able to acheive this capability at a larger scale across Enterprise.

From a technology perspective, these organisations have a well-implemented set of Foundation Capabilities for Information Development and Foundation Capabilities for Infrastructure Development. They have made significant moves to advanced capabilities such as Services Oriented Architecture as part of a model of Continuous Improvement and they will have already implemented some projects in this area.

Organisational Model

The Organisational Model for the Managed Data Governance Organisation has 4 major sets of roles and responsibilities at the leadership level:

  • Data Governance Council - operational leadership and key delivery roles
  • System of Record Owners - stewards, owners and leaders of information as it reside in source systems
  • Common Information Owners - stewards and owners of master data and enterprise analytical data
  • Analysts - shared business and technology resources across the programme to address business requirements, technical analysis and data quality improvement from a design, delivery and ongoing operations perspective

The architecture team is also a key aspect of this organisation. The architecture team for a Managed Data Governance Organisation is similar to that in a Optimal Data Governance Organisation.

A Managed Organisation for Data Governance

Roles and Responsibilities

The key roles and their responsibilities for the Managed Data Governance Organisation are shown below.

Data Governance Council

The Data Governance Council provides operational leadership on the project, by dealing with issues as they arise and providing proactive solutions to resolving potential problems. Some individuals on the group (such as the Executive Sponsor) may not be involved on a daily basis, but all are dedicated enough to the project that it is their primary focus.

Data Stewards play a key role on the Council as the caretakers of information and are responsible for driving its improvement. The role of Data Stewards overlaps into the Delivery Team.

Role Responsibilities Time Commitment
Executive Sponsor
  • The Executive Sponsor will set the initial direction and goals for the program. On an ongoing basis, the Executive Sponsor approves budgets, establishes highest level policies, and monitors information policy setting and tracks progress of quality initiatives compared to target plan.
  • 5 percent
Data Governance Programme Manager
  • Develop and monitor an overall strategic plan for data quality improvement encompassing all affected systems. Plan to include linkage and convergence of existing data warehouse

’ s and data marts.

  • Sponsor and champion for data quality initiatives for all systems, LOBs and functions. Ensure scheduling and resource allocation across LOBs
  • Provide data quality feedback and progress across all LOBs, systems and functions
    Provide approval, prioritization, sign-off of major data quality initiatives.
  • Communicate with business segments to ensure expectations for data quality initiatives are in-line with what can be delivered.
  • Oversight of business planning and requirements process to ensure data quality needs are appropriately addressing the needs of the users.
  • Resolution of escalated issues.
  • Quarterly
  • Adhoc meetings as needed
Data Governance Steering Committee
  • Responsible for developing Data Governance strategy and policies, as well as leadership and supervision for the overall program.
  • Active working committee of the Data Governance board. Accountability for executing Board responsibilities.
    Provide periodic data quality updates to the ITEC and policy committee
  • Definition and signoff of project scope, requirements and test results.
  • Estimates high level funding needs, requests budget from the executive sponsor.
  • Approval of identified data quality improvement initiatives.
  • Will include members of the Lines of Business (Wholesale, Mortgage, Retail, PCS), Finance, IT, Credit Risk Mgt, Company Quality Mgt, Audit, and the Enterprise Data Architect.
  • Monthly initially
  • Move to quarterly basis for the future
Information Architect
  • Provides single point of architectural coordination for all Information-related approved initiatives
  • Focuses on planning for infrastructure efficiencies, and linkage, cleansing and usage of data, ensures implementation of remediation and the priority of issues
  • Ensures the compliance and execution of the data governance program policies, processes and procedures across data stewards
  • Reconciliation, re-creation, metadata design and maintenance
  • Full time

System of Record Application Environment

The Application Environment provides the key source system in the environment - the Systems of Record for Master Data and much of the information in the shared analytical environment. Key roles include:

Role Responsibilities Time Commitment
System of Record Manager
  • Provides day to day leadership over the data quality programme.
  • Focal point for coordinating System of Record (SOR) owners.
  • Guide and support requirements and testing of data quality initiatives
  • Owner of scorecard process and execution. Provide scorecard feedback to all involved parties including SOR owners, data concept owners, data stewards and to the Board
  • Ensures execution of policies and strategies of the Data Governance Board and Steering Committee.
  • Review and prioritizes projects, determine funding needs and requests funding approval from the Data Quality Steering Committee
  • Coordinate the release management program with LOBs and scheduling of data quality and technical projects.
  • Facilitates the development and training of best practice data quality policies, procedures and methodologies.
  • Monitors enterprise data quality milestones and performance measures to ensure enterprise-level data quality. Provides feedback to ITEC and all LOBs
  • Full time
  • Staff support will be needed as data governance grows
Data Concept Owner (Business)
  • The data concept owners initially will be senior credit risk management representatives responsible for enforcement of common, enterprise wide business concepts for credit risk data.
  • Provide business side leadership of data quality improvement initiatives.
  • Responsible for business concept definition, requirements definition and sign off, and testing review and sign off.
  • They are responsible for prioritizing data quality projects and the appropriate use of data elements.
  • Facilitate coordination required to resolve cross LOB naming and definition issues.
  • Focuses on administering data policies, defining business rules, defining procedures for the data processes
  • Responsible for on-going settlement of the Enterprise Data Warehouse with the SOR data.
  • Full time
Data Steward (IT)
  • Oversight of one or more areas of an organization

’ s information models

  • Will focus on a particular subject areas
    Provide leadership on the IT side of data quality improvement initiatives by leading combined teams of technical, business and quality analysts
  • Participate, influence and sign off on data requirements and design of data quality related projects and applications.
  • Determine how data will be managed
  • Executes data quality scorecard for data subject areas across affected systems
  • Provides technology direction for DQ improvement initiatives
    Documents and maintains data quality definitions and usage at the concept and data element level on Enterprise Data Warehouse
  • Half time
System of Record (SOR) Owners
  • Accountable to the Data Governance Program Manager for planning and implementing data quality policies, strategies and initiatives at the application level
  • Shapes, defines, manages and implements initiatives to improve data quality based upon data quality feedback
  • Builds data quality projects into application strategic plan and LOB project funding plans
  • Provides business analysts and technical analysts to support data quality analysis and implementation
  • Coordinates source system changes
    Responsible to exert influence and oversee input processes that feed system ensure consistent inputs in compliance with standards and policies
  • Partner with Enterprise Data Warehouse System and Process Owner to perform on-going reconciliations of their systems with the Enterprise Data Warehouse
  • No changes required to existing commitment levels

Common Information Owners

The Common Information Owners are responsible for the most important information that flow across systems in federated environment. They also have responsibility for the shared analytical environment.

Role Responsibilities Time Commitment
Enterprise Data Warehouse System and Process Owner
  • Ensures the Enterprise Data Warehouse collectively meets the requirements of the business
  • Coordinates the resolution of issues identified by data concept owners and data stewards.
  • Identifies new funding requirements, assists in prioritizing requests and submits to the data governance board for approval
  • Coordinates on-going data integrity and linkage/usage with source system changes
  • Coordinates efficient infrastructure investments
  • Full time
MDM Business Owner
  • Responsible for assessment of data quality, remediation requirements and implementation of CDM
  • Provides requirements for extensions of Enterprise Data Warehouse data concepts and additional definitions
  • Identify data quality issues and interacts with the Data Governance Lead for resolution
  • Assessing the needs of end-users and to ensure the data is collected, aggregated, & reported accurately
  • Coordinates prioritization of projects for self assessment gaps with Basel Steering Committee
  • Responsible for on-going settlement of the cubes to the Enterprise Data Warehouse
  • Full time
MDM IT Steward
  • Improve and maintain the quality, accessibility and reusability of data and information
  • Focuses on administering data policies, defining business rules, defining procedures for the data processes
  • Participate, influence and sign off on data requirements and project design on data quality related projects and application, Executes data quality scorecard for data subject areas across affected systems
  • Initially: 100%

Information Analysis Team

The Information Analysis Team is a shared set of business and technology resources responsible for addressing issues such as information quality and defining new information models.

Role Responsibilities Time Commitment
Data Quality Lead
  • Manage the data quality analysts and coordinates the tasks for the business and technical analysts.
  • Point of contact to the data stewards/owners and the system owners. Will identify the data quality, business and technical analysts needed to execute the data quality policies, processes, etc.
  • Act as point of contact to the CDM, Enterprise Data Warehouse Stewards, and Systems of Record for small and everyday changes required. Provide expertise on quality improvement best practices and to perform auditing to ensure projects are complying with data quality management processes and standards.
  • Full time
Business Analysts
  • Business Analysts are members of the existing LOBs that are assigned to the Governance team when specific activities in their business areas are impacted.
  • Articulate the usage of data elements based on definitions and guidelines by data concept owners
  • Validate and maintain business rules with the appropriate lines of business
  • Define data field names, definitions, standards, will be assigned to work with the Data Stewards as necessary. * Accountable to the concept owners and/or the system owners
  • As requested
Technical Analysts
  • Technical Analysts are members of existing project teams that are assigned to the Governance team when specific activities in their project areas are impacted.
  • Understand data structure
    Provide technical expertise required to implement new tools and improve existing systems
  • As requested
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