Job Summary: 

• Gain an understanding of the Current State Ecosystem and then define the Target State Data Architecture and Strategy.
• Work as the Technical Subject Matter Expert in partnership with the Product Owners and IT Solution Owners to define the technical strategy for data-driven products and applications.
• Provide leadership to the project development teams for successful project implementation on the selected data platform.
• Work with the product organization to develop business requirements into architecture and integrate them into the long-term data platform strategy.
• Define solution-level architecture for project teams including guidance on development tools, target platforms, operations, and security.
• Drive towards adoption of the target state architecture by executing the strategy. 
• Develop Architectures for highly scalable and fault-tolerant applications using Cloud, Relational database technologies, Data Warehousing, Machine Learning, and Modern Big Data computing platforms.
• Provide technical and architectural oversight for systems and projects that are required to be reliable, massively scalable, highly available (99.999% uptime), and maintainable.
• Introduce best practices and principles to enable consistent delivery and enable alignment with long-term direction.
• Lead and mentor other team members. 
• Provide expertise to project team engineers 
• Foster development best practices within the team.
• Identify and drive process improvements. 
• Facilitate communication with cross-functional groups.
• Stay up to date on new tools & techniques in the data space. 
• Conduct proof of concept activities with key business users in support of advanced use cases.

Skills on Resume: 

• Technical Leadership (Soft Skills)
• Business Requirement Integration (Hard Skills)
• Solution Architecture Design (Hard Skills)
• Cloud and Data Platform Design (Hard Skills)
• Scalability and Reliability (Hard Skills)
• Best Practices Implementation (Soft Skills)
• Team Mentoring (Soft Skills)

Job Summary: 

• Drives the investment data architecture and technology vision to implement solutions supporting the Investment Data Management strategy and desired business outcomes.
• Understands the needs for investment data and supports the exploration and thinking for how the investment data needs may be satisfied by information and technology.
• Leads the overall design of the investment data architecture and data models, ensuring investment data is available and shared consistently
• Provides and uses expert knowledge in design activities to translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards
• Creates and maintains blueprints for current and target-state reference architectures for investment data and inclusion in enterprise and line of business reference architectures.
• Defines patterns and standards for investment data platforms, design, engineering, and development and continuously drives out ambiguity and streamlines data architectures.
• Develops and sustains conceptual, logical, and physical data models to support the investment data management strategy and ensures alignment with the enterprise data strategy.
• Promotes alignment of the Investment Data Management strategy with the enterprise data strategy and standards.
• Contributes to the understanding and evolution of a modern data architecture to support best-in-class data management.
• Works in a complex data environment in an engineering, design and architecture capacity including enterprise warehouses, marts, ODS’, and cloud data platform technologies.
• Supports and provides expertise to Data Trustees, Investment Data Product Owner(s), the Investment Data Leader, and the governance bodies with the development, sustainment and usage of the conceptual data model, taxonomies, and business glossary for investment data.
• Works with Investment Data Office team members, business analysts, Investment and Operations team members, and IT teams to understand investment data consumers’ needs and develop solutions.
• Proactively investigates, proves out, and incorporates new technologies and capabilities 
• Drives automation, data quality, security and governance practices for investment data.
• Ensures investment data management architecture patterns and practices comply with regulatory requirements.

Skills on Resume: 

• Data Architecture Design (Hard Skills)
• Investment Data Management (Hard Skills)
• Business Requirement Translation (Soft Skills)
• Data Modeling (Hard Skills)
• Reference Architecture (Hard Skills)
• Data Platform Design (Hard Skills)
• Data Strategy Alignment (Soft Skills)
• Data Governance Support (Soft Skills)

Job Summary: 

• Research, build and implement enterprise data management strategies, guiding principles, and governance documentation, along with processes and standards pertaining to data modeling, database design and architecture, data governance and data quality, data security, metadata management, data integration and data warehousing, reference and master data management.
• Design, develop and maintain an enterprise business-centric logical data model and data dictionary incorporating both internal and external information systems, providing relevant data elements to enable ad-hoc and strategic reporting, as well as non-reporting functions.
• Develop and use business knowledge to critically evaluate information gathered from multiple sources, reconcile conflicts, and develop detailed requirements from high-level information.
• Work with Enterprise Software Architects, Database Architects, and Application Development teams to establish agreed data acquisition strategies, service level agreements and disaster recovery procedures concerning the data warehouse environments. 
• Lead the strategy and definition for data acquisition.
• Assist in data quality research, process automation and user acceptance testing.
• Maintain a structure for business information, understand current and emerging technologies, and align applications with business priorities.
• Lead the design of robust, scalable, and maintainable data integration processes.
• Recommend products, participate in the acquisition, evaluation, testing, establish standards and provide guidance for the use of those products.
• Develop and maintain effective teams as well as organizational working relationships and partnerships to include user training and engagement.
• Manage Data Warehouse related projects including sourcing, mapping, transforming and loading data into the Enterprise Data Warehouse.
• Ensure the Data Warehouse is robust, with minimal downtime, and is refreshed to agreed timescales.
• Acts as liaison between Business Technology and business units.
• Deliver a project scope and data strategy that directly supports the key business drivers.
• Design and direct the implementation of security requirements for the data warehouse.

Skills on Resume: 

• Data Management Strategy (Hard Skills)
• Data Modeling (Hard Skills)
• Business Requirement Analysis (Soft Skills)
• Data Acquisition (Hard Skills)
• Data Quality (Hard Skills)
• Process Automation (Hard Skills)
• Team Development (Soft Skills)
• Product Evaluation (Hard Skills)

Job Summary: 

• Lead the planning of Virgin Media’s data infrastructure and platforms, leading developers and testers
• Support data strategy development and implementation of an organization-wide data strategy for Virgin Media, identifying challenges and opportunities for various stakeholders
• Set out a roadmap for the development of an integrated customer data model, combining all aspects of Virgin Media’s business & products
• Be the gatekeeper for new projects and changes/use cases for data, planning a development roadmap that strategically underpins current and future processes
• Engage positively with project teams to shape & inform requirements for data development, IT integration, and business intelligence/analytics
• Define the data integration plan for projects deploying new systems or primary data sources
• Perform a governance role within project planning ensuring that data quality and standards are considered and maintained
• Manage a complex set of data management stakeholders/support: Internal IT functions, Liberty Global central Data Management teams
• Continually review data models & enablement approach to ensure data management infrastructure and IP are fit for purpose and future-proofed
• Leading the design and implementation of technical solutions and processes related to enterprise data architecture
• Maintaining up-to-date knowledge of industry trends, standards and methodologies to promote continuous improvements in the services provided
• Identifying risks or issues with technology solutions & design that may impact the realization of project benefits
• Ensuring that systems are functionally appropriate, technically sound and well-integrated
• Creating a visionary and integrated architecture roadmap and organizational strategy that aligns Data Services to Business & IT

Skills on Resume: 

• Data Infrastructure Planning (Hard Skills)
• Data Strategy Development (Hard Skills)
• Customer Data Model (Hard Skills)
• Project Roadmap Planning (Soft Skills)
• Stakeholder Engagement (Soft Skills)
• Data Integration (Hard Skills)
• Data Governance (Hard Skills)
• Industry Trend Analysis (Soft Skills)

Job Summary: 

• Development of referential data architecture for enterprise delivery
• Responsible for designing data architectures in alignment with regulatory requirements
• Creating thought leadership to educate regulatory stakeholders.
• Design, architect, implement and support simple to complex enterprise data warehouses using on-premises and cloud technologies
• Stay up to date with modern technical approaches to accelerate the accomplishment of critical businesses initiatives
• Development and implementation of master data management processes and procedures
• Establish enterprise data quality and data mapping best practices
• Ensure completion of tasks, milestones, and components, including but not limited to functional specifications, design specifications, configurations, quality assurance, implementations, and project reviews
• Spearheads development of conceptual, logical, and physical data models, in addition to driving ETL development, Work alongside IT and the business to update systems or establish new data capture methods to support business requirements
• Lead additional optimization initiatives as businesses change and grow

Skills on Resume: 

• Data Architecture Design (Hard Skills)
• Regulatory Compliance (Hard Skills)
• Thought Leadership (Soft Skills)
• Data Warehouse Implementation (Hard Skills)
• Modern Technical Approaches (Hard Skills)
• Master Data Management (Hard Skills)
• Data Quality Best Practices (Hard Skills)
• Project Management (Soft Skills)

Job Summary: 

• Develop, review, and/or author Enterprise Architecture (EA) artifacts following relevant Enterprise Architecture standards and methodologies such as e.g. Federal Enterprise Architecture (FEA) or The Open Group Architecture Forum (TOGAF). 
• Create EA roadmaps, EA strategies, technical architectures, implementation designs, and EA Frameworks. 
• Define modern IT Infrastructure aligned with the Department's IT Strategic Plans and Business Architecture which supports the execution of the Department's mission. 
• Created and managed EA assessments and analysis of the department's investments and technology landscape, leveraging the Cybersecurity Services Reference Architecture. 
• Develop TBM service alignment assessments related to technology investments. 
• Manage and support CPIC investment portfolio alignment with TBM implementation 
• Update and publish EA analysis supporting EA/KM requests leveraging data categorized via the EA Data Architecture taxonomy. 
• Establish TBM data normalization activities supporting the creation of Power BI dashboards. 
• Use analytics processes to develop and publish BI dashboards reflecting dynamic investment/technology portfolio views of each segment of the EA categorized by the TBM services taxonomy. 
• Develop and maintain TBM service architecture guiding principles, policies, best practices, reference architecture and standards. 
• Establish standards for aligning, modeling, naming and describing service offerings aligned with TBM. 
• Identify and inventory software/hardware products on the network. 
• Review and update As-Is Technical Architecture including systems, applications, networks, software products, hardware products i.e. servers, etc. 
• Lead the evaluation of technical requirements to define business needs, review and corrects project direction direct solutions to gaps/risks evaluate options
• Identify and pro-actively manage areas to resolution. 
• Perform complex analyses of data and information and make recommendations. 
• Develop EA guidance, policy, procedures and tools for the creation of the Target EA supported by enterprise-wide technologies such as Cloud Computing and Cybersecurity. 
• Develop processes for the evaluation and approval of technology requests related to business needs that leverage new or existing technology services and capabilities.

Skills on Resume: 

• Enterprise Architecture (Hard Skills)
• IT Infrastructure Design (Hard Skills)
• Cybersecurity Analysis (Hard Skills)
• TBM Service Alignment (Hard Skills)
• Portfolio Management (Soft Skills)
• BI Dashboard Development (Hard Skills)
• Data Normalization (Hard Skills)
• Technical Requirement Evaluation (Soft Skills)

Job Summary: 

• Work with BSAs to translate business requirements into logical designs
• Modify and extend dimensional data models, deploy DDL to build physical database tables & views
• Work with data engineers to design batch feeds with high data integrity to populate on-prem and cloud targets
• Work with report developers to build reusable business objects and report templates
• Work with application developers to integrate & provide access through existing applications and portals
• Project planning and task monitoring
• Creating and delivering presentations
• Work collaboratively with Enterprise and Business Architects sharing and challenging ideas
• Work collaboratively with Data Management Team to lead future design and address organisational data challenges
• Inform, and collaborate with, Solution Architects to reach agreed solutions
• Listen to and inform IT and Project Managers to update plans and records
• Lead Business Analysts to uncover necessary insights
• Work collaboratively with the Knowledge and Information Management Team to understand future design

Skills on Resume: 

• Business Requirement Translation (Hard Skills)
• Data Modeling (Hard Skills)
• Data Engineering (Hard Skills)
• Report Development (Hard Skills)
• Application Integration (Hard Skills)
• Project Planning (Soft Skills)
• Presentation (Soft Skills)
• Collaborative Leadership (Soft Skills)

Job Summary: 

• Serve as lead architect where appropriate/assigned on initiatives at the direction of leadership
• Develop and maintain core components of the Architecture Plan to ensure these are up-to-date
• Direct, identify, and proof emerging technologies
• Ensure project technology decisions are aligned to Enterprise Architecture standards and policies (or otherwise see that they are expanded)
• Identify architecture challenges related to the project activities and work with the Project Manager, Application Architect, and Technical Architect to resolve
• Responsible for building strong relationships with ITG leaders, Business leaders, project managers, and other technical domain experts
• Serves as a key agent for supporting the development of an overall competency in key technologies, disciplines, and architectures
• Provide mentoring and guidance on technical and architectural direction, methodology, design, and reuse
• Work with security, networking, and other departments to ensure that integration solutions meet all established policies
• Inform and negotiate with Suppliers and Partners to evaluate opportunities
• Inform and learn from Industry Events and Public Sector Architecture Forums to build reputation and evaluate opportunities
• Participate within Architecture Guild and Communities of Practice to advance design capability and good practice

Skills on Resume: 

• Architecture Planning (Hard Skills)
• Emerging Technologies (Hard Skills)
• Project Management (Soft Skills)
• Enterprise Alignment (Hard Skills)
• Relationship Building (Soft Skills)
• Mentoring (Soft Skills)
• Security Integration (Hard Skills)
• Industry Engagement (Soft Skills)

Job Summary: 

• Align enterprise data architecture with business and technology strategy and roadmaps while effectively communicating to business and technical partners across senior levels of the organization
• Define and establish a technical strategy, standards, and guidelines in the data architecture domain.
• Define, design and document data services, interfaces, and data flows with big-picture awareness across the enterprise
• Collaborate with business and IT partners and various practice teams to define transitional and target state data architectures
• Pragmatically implement data architecture principles, standards, and patterns using established Enterprise Architecture governance processes and frameworks
• Collaborate, educate, and mentor architects and technical leaders across the firm on modern data architecture practices
• Develop and maintain strong awareness and acuity of Mozilla’s business and data domains, standards and data policies
• Collaborate within the enterprise systems and services team to incorporate modernizing data governance, metadata management, and data quality into architectural approaches and patterns
• Capture, design, and publish integrative and canonical views of enterprise data at multiple levels of abstraction
• Responsible for the data architecture across business lines and staff departments. 
• Maintaining and facilitating the vision, strategy, and guidance for data and information management.
• As a subject matter expert lead participate in initiatives put forward by the Information Governance Board.
• Extract and translate business data concepts into enterprise data architecture design following an API, Modular/Microservice Architecture
• Identification and extraction of architecture data sets to support enterprise engineering meta-modeling and open API industry standards, swagger API design tools
• Collaboratively produce quality Data API solutions as part of Agile Product teams
• Apply Domain Driven Design in concert with software and platform engineering teams to decompose business architecture, and processes into user stories and technology components
• Identification, development and assessment of alternative open-source data solution for RDMS/SQL, NO-SQL, columnar, streaming and messaging
• Collaboratively work with clients to establish data governance and quality guidelines to build a road map for future end-state

Skills on Resume: 

• Data Architecture Alignment (Hard Skills)
• Technical Strategy Development (Hard Skills)
• Data Services Design (Hard Skills)
• IT Collaboration (Soft Skills)
• Data Governance (Hard Skills)
• Mentorship and Education (Soft Skills)
• Data Policy Awareness (Soft Skills)
• API Architecture (Hard Skills)