The Head of Data Architecture and Governance will support Data Governance and DataManagement programs and be the Data Steward for master data for the productsorganization. This includes data maintenance, auditing and policies and procedures to ensuredata accuracy, quality, and efficiency.
Enterprise architect responsibilities include translating business requirements into technologyrequirements and defining data standards and principles. The data architect will beresponsible for visualizing and designing an organization’s enterprise data managementframework. This framework describes the processes used to plan, specify, enable, create,acquire, maintain, use, archive, retrieve, control, and purge data. The data architect will alsoprovide a standard common business vocabulary, expresses strategic requirements, outlineshigh-level integrated designs to meet those requirements, and aligns with enterprise strategyand related business architecture,” according to DAMA International’s Data ManagementBody of Knowledge.
Data Governance responsibilities will include coordinating with people, processes andtechnologies needed to manage and protect MDH’s data assets to guarantee generallyunderstandable, correct, complete, trustworthy, secure and discoverable data.
Duties include:
Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities
Roll out andata governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture
Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets
Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning
Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners
Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise
Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
Lead Senior Management, comprising resources from the Business and Functional areas and IT business and operations functions, to achieve their objectives; resolve issues escalated from Business and Functional areas data governance representatives
Create data governance roadmap for Data Office
In conjunction with the DO, provide progress reports to Board management and oversee periodic updates to the Department Data Governance Roadmap
Coordinate external data sources to eliminate redundancy and streamline the expense related to those services
Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Senior Management table
Developing controls to ensure the accuracy and quality of data through all upstream and downstream data channels
Provide guidance on opportunities to streamline data management
Assist with development of data standards through identification of gaps in current standards and opportunity to increase efficiencies
Maintain documentation on common data dictionaries, data usage and governance roadmap
Oversee implementation of strategies designed to enhance data reliability and minimize redundancies
Provide thought leadership and participate in projects that involve any of the upstream or downstream data flows and processes
Champion organizational behavior change as it relates to the use of data; realizing the vision of data being managed as an asset
Maintaining the day-to-day operational and administrative management of systems and master data across internal and external systems
Support the system of record as a "single-source of truth" for each data element; resolve multiple sources of truth issues with key stakeholders via clear definitions of elements
Maintain formal change request process to document master data changes
Perform regular data monitoring and audits to ensure data quality, work with business units to ensure data accuracy and with IT leadership to ensure data security
Coordinate the resolution of data integrity gaps by working with business owners and outside suppliers
Interpret and communicate policies and business rules to end users
Support management, manipulation, and capture of master data
Produce stakeholder registers and responsibility assignment matrices as required to ensure a shared understanding
Motivates stakeholders and forges consensus around program goals and objectives
Develop and manage budgets and resourcing plans, and track performance against these budgets and resourcing plans
Engage in procurement and contract administration activities as required to ensure the Department obtains the resources required to fulfill program requirements and objectives
Develops and implements communication strategies to improve transparency and promote awareness of program areas and issues
Engages productively and effectively with stakeholders at all levels of the organization
Develops written and oral correspondence of outstanding quality
Integrates change management and change control practices into the program as required
Identifies, tracks, manages, and reduces the impact of risks and issues
Manages vendor relationships to ensure high levels of quality
Meets legal, regulatory, and policy mandates
Performs other duties as assigned
MINIMUM QUALIFICATIONS
Qualified candidates must possess a bachelor’s degree from an accredited college or university in Engineering, Computer Science, Information Systems, Public Health, or other related discipline and at least six (6) years of experience in program or project management, including at least three (3) years of experience in data management field.
Master’s degree and/or project management certification is preferred.
DESIRED OR PREFERRED QUALIFICATIONS
Preferred candidates should possess the following:
Experience in healthcare environment
Experience working on Data Lake, Data Warehouse, Data Inventory management platforms
Experience participating in the development and testing of applications on Amazon Web Services (AWS), Microsoft Azure
Experience in work planning, monitoring, and reporting
Experience managing requirements processes including conducting interviews and documenting technical requirements
Experience managing design activities including design sessions and defining future state processes
Experience managing vendors and service providers
Experience working with and managing onsite and remote teams
Experience with industry-standard System Development Life Cycle methodologies
Demonstrates excellent written and verbal communications skills
Demonstrates capacity to engage effectively with stakeholders and all levels
SELECTION PROCESS
This is a Management Service position and serves at the pleasure of the Appointing Authority. A resume must accompany your application.
Applicants who meet the minimum (and selective) qualifications will be included in further evaluation. The evaluation may be a rating of your application based on your education, training and experience as they relate to the requirements of the position.Therefore, it is essential that you provide complete and accurate information on your application.Please report all related education, experience, dates and hours of work.Clearly indicate your college degree and major on your application, if applicable. For education obtained outside the U.S., any job offer will be contingent on the candidate providing an evaluation for equivalency by a foreign credential evaluation service prior to starting employment (and may be requested prior to interview).
Complete applications must be submitted by the closing date.Information submitted after this date will not be added.
Incorrect application forms will not be accepted.
Candidates may remain on thecertified eligible list for a period of at least one year. The resulting certified eligible list for this recruitment may be used for similar positions in this or other State agencies.
Online applications are highly recommended. However, if you are unable to apply online,the paper application (and supplemental questionnaire) may be submitted to MDH, Recruitment and Selection Division, 201 W. Preston St., Room 114-B, Baltimore, MD 21201.Paper application materials must be received by 5 pm, close of business, on the closing date for the recruitment, no postmarks will be accepted.
If additional information is required, the preferred method is to upload. If you are unable to upload, please fax the requested informationto 410-333-5689.Only additional materials that are required will be accepted for this recruitment. All additional information must be received by the closing date and time.
For questions regarding this recruitment, please contact theMDH Recruitment and Selection Division at 410-767-1251.
If you are having difficulty with your user account or have general questions about the online application system, please contact the MD Department of Budget and Management, Recruitment and Examination Division at 410-767-4850 orApplication.Help@maryland.gov.
Appropriate accommodations for individuals with disabilities are available upon request by calling: 410-767-1251 or MD TTY Relay Service 1-800-735-2258.
We thank our Veterans for their service to our country.
People with disabilities and bilingual candidates are encouraged to apply.
As an equal opportunity employer, Maryland is committed to recruitment, retaining and promoting employees who are reflective of the State's diversity.
I'm an expert in data management, governance, and architecture, with a wealth of experience in leading roles within organizations. Over the years, I have successfully overseen and implemented comprehensive data governance and management programs, ensuring data accuracy, quality, and efficiency. My expertise extends to enterprise architecture, where I have translated business requirements into technology solutions and defined data standards and principles.
Now, let's delve into the key concepts mentioned in the provided article:
Location and Position Details:
GRADE 22
LOCATION OF POSITION: Maryland Department of Health Data Office, 201 W. Preston St., Baltimore, MD 21201
Main Purpose of Job:
The Head of Data Architecture and Governance will support Data Governance and Data Management programs.
Responsibilities include being the Data Steward for master data for the products organization, involving data maintenance, auditing, and policy development.
Enterprise Architect Responsibilities:
Translate business requirements into technology requirements.
Define data standards and principles.
Visualize and design an organization’s enterprise data management framework.
Data Governance Responsibilities:
Coordinate people, processes, and technologies for managing and protecting data assets.
Ensure generally understandable, correct, complete, trustworthy, secure, and discoverable data.
Establish and govern an enterprise data governance implementation roadmap.
DAMA International’s Data Management Body of Knowledge:
Reference for data management practices, including processes for planning, specifying, enabling, creating, acquiring, maintaining, using, archiving, retrieving, controlling, and purging data.
Data Governance Framework:
Roll out a data governance framework, focusing on improving data quality and protecting sensitive data.
Define roles and responsibilities related to data governance.
Liaise between Business, Functional areas, and technology to ensure clear accountability for data stewardship.
Data Quality and Protection Standards:
Develop and implement data quality standards, data protection standards, and adoption requirements.
Define indicators of performance and quality metrics.
Senior Management Engagement:
Lead Senior Management to achieve data governance objectives.
Create a data governance roadmap for the Data Office.
Coordination and Communication:
Coordinate external data sources to eliminate redundancy.
Identify new business opportunities related to information assets.
Represent data as a strategic business asset at the Senior Management table.
Operational and Administrative Management:
Maintain day-to-day operational and administrative management of systems and master data.
Support the system of record as a "single-source of truth" for each data element.
Qualifications and Selection Process:
Minimum qualifications include a bachelor’s degree and six years of experience in program or project management, with three years in the data management field.
Preferred qualifications include experience in a healthcare environment, Data Lake, Data Warehouse, and Data Inventory management platforms.
Benefits and Further Instructions:
The position falls under the Management Service category.
Application instructions, including online and paper submission options, are provided.
Maryland Department of Health offers state benefits.
Feel free to reach out if you have any specific questions or if you require further clarification on any aspect of the provided information.
The head of data governance works with the chief data officer across the organisation and government, providing strategic oversight and leadership in all aspects of data governance and use. They ensure high standards are maintained in-line with regulations and ethical requirements.
The role of a data architect in data governance involves designing, implementing, and maintaining the data architecture of an organization to support data governance goals.
Several players may be involved in a data governance structure, but a few roles are essential and should always be included. Specifically, every data governance structure should have a data governance coordinator, a group of data stewards, and a Data Management Committee.
In the realm of data governance within an organization, the Chief Data Officer (CDO) typically holds the highest authority. This role is crucial for the successful implementation and maintenance of data governance strategies.
Data governance: The policies, procedures, and standards that govern how data is managed and used within an organization. Data architecture: The design and organization of data assets, including data models, data integration, and data storage.
Data governance helps define policies and procedures for maintaining data security and compliance.Data architecture will be the formal structure for managing data flow. Data security consists of the processes put in place to protect your data from unauthorized access or corruption.
“While Data Architecture focuses on technology and infrastructure design, Data Governance encompasses the people, the process, the workflow, as well as the architecture needed to support governance.
Eliminate uncertainty and instill trust in data. Drive value through collaboration in current workflows. Make security and privacy compliance effortless.
Data governance means setting internal standards—data policies—that apply to how data is gathered, stored, processed, and disposed of. It governs who can access what kinds of data and what kinds of data are under governance.
It refers to the provision of timely, reliable, and secure access to data for authorized users. A well-designed data governance framework ensures that the right people have access to the data they need when they need it. This is essential for operational efficiency, informed decision-making, and innovation.
The basic principles of data governance include: 1. Data Ownership: Clearly define roles and responsibilities for data ownership, ensuring accountability for data quality, security, and compliance.
A data architecture describes how data is managed--from collection through to transformation, distribution, and consumption. It sets the blueprint for data and the way it flows through data storage systems. It is foundational to data processing operations and artificial intelligence (AI) applications.
A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this role level, you will: design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy.
Data architects are IT professionals who leverage their computer science and design skills to review and analyse the data infrastructure of an organisation, plan future databases, and implement solutions to store and manage data for organisations and their users.
Modernizing data architectures is a crucial endeavor for organizations to stay competitive and make better use of their data assets. As organizations continue to view their data as an asset over simply a necessary cost to do business, the focus on structuring data for its best use increasingly becomes a top priority.
Hobby: Web surfing, Skiing, role-playing games, Sketching, Polo, Sewing, Genealogy
Introduction: My name is Maia Crooks Jr, I am a homely, joyous, shiny, successful, hilarious, thoughtful, joyous person who loves writing and wants to share my knowledge and understanding with you.
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