Job Summary: 

• Build and manage the infrastructure and systems required of a cutting-edge computational and data-centric company
• Define and implement a company-wide architecture for data storage, processing and analysis, and develop and implement systems for managing the data lifecycle
• Grow and effectively maintain cloud-first infrastructure and service environment to enable agility while ensuring secure operations and efficient utilization of resources
• Establish an architecture and a collection of integrated decision-support applications and databases to enable top-tier chemists, biologists, biochemists and informatics scientists to gain new scientific insights
• Own integration of key research systems, including ELN, LIMS and Results Management 
• Lead a small team of data engineers and analysts to bring the business and architectural visions to reality.
• Grow the technical and non-technical capabilities of those within the data team.
• Work with and manage external suppliers to provide data services across the organization.
• Partner with businesses to leverage data to tackle business challenges/opportunities, improve strategic decision-making, reduce risk, create operational efficiencies and fuel business success
• Architect a robust, reusable API integration/ETL platform using Mulesoft
• Create scalable data solutions to accommodate the agile business environment, taking advantage of cloud architecture when possible
• Accountable for accurate, readily available, and easy-to-understand data across the entire organization
• Monitor data systems performance and identify opportunities for refactoring for efficiency and real-time access
• Take responsibility for mentoring fellow data analysts

Skills on Resume: 

• Cloud Management (Hard Skills)
• Data Architecture (Hard Skills)
• Lifecycle Management (Hard Skills)
• System Integration (Hard Skills)
• Team Leadership (Soft Skills)
• API Development (Hard Skills)
• Performance Monitoring (Hard Skills)
• Strategic Support (Soft Skills)

Job Summary: 

• Co-Design Data Processing Architecture
• Establish data warehousing, lake and big data analytics capabilities
• Partner with engineers to integrate data capabilities into existing software product portfolios.
• Explore the relevancy of data streaming architectures within the organization
• Take responsibility for establishing Data Governance
• Document and share data architecture and structures across the organization
• Establish data quality management standards and implementation
• Implement processes to facilitate regulatory compliance across the architecture
• Conduct Data Modelling, Guide Analysis & Visualisation
• Partner with analysts and engineers to model data across the organization and build insightful analysis for business stakeholders
• Partner with analysts and organizational managers to build meaningful reporting and exploratory visualizations.
• Provide Strategic guidance on developing a data-driven culture across the organization
• Develop an adoption & transformation strategy in conjunction with organization business functional managers
• Take responsibility for leading the Data Team

Skills on Resume: 

• Data Architecture Design (Hard Skills)
• Data Warehousing & Analytics (Hard Skills)
• Data Integration (Hard Skills)
• Data Governance (Hard Skills)
• Data Quality Management (Hard Skills)
• Compliance Processes (Hard Skills)
• Data Modeling & Visualization (Hard Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Lead the design and execution of the Data Governance framework across business units and IT in the local Hong Kong entity
• Build trust and exert influence in all areas of IT and business to develop a data-driven culture in the organization
• Engage with business and technology leaders to understand strategy, articulate solution options, evaluate tradeoffs and influence key decisions
• Collaborate within and outside of IT to define the data management & governance process, and facilitate its adoption
• Collaborate with Technology Risk and Compliance to ensure alignment with data protection and security policies
• Employ architecture principles, technology standards, best practices and practical experience 
• Design data management & governance solutions to facilitate the overall information architecture
• Lead the working groups to improve data quality in Hong Kong. 
• Establish the evergreen process to monitor and continuously improve data quality
• Partner with application development teams for the solution of the data management and governance platform (Informatica AXON, EDC, etc.)
• Partner with application development teams to create and apply data integration patterns between applications running on-premise and in Azure
• Partner with application development teams to create a Data Lake and data visualization / analytic solutions. 
• Promote usage within IT and to business (Informatica, Azure Data Lake, HDInsight, etc.)
• Partner with application development teams to ensure project/application solution deliveries are aligned with data policies and standards

Skills on Resume: 

• Data Governance Framework (Hard Skills)
• Influence & Trust Building (Soft Skills)
• Strategic Engagement (Soft Skills)
• Data Management Processes (Hard Skills)
• Compliance Alignment (Hard Skills)
• Architecture Principles (Hard Skills)
• Data Quality Improvement (Hard Skills)
• Data Integration Solutions (Hard Skills)

Job Summary: 

• Understands the importance of data to clients and the organization. 
• Ensure that the enterprise data model is in line with the data vision of the enterprise and you have a role in the governance of it. 
• Create a plan for how data architecture will support and enable this. 
• Be a fantastic sparring partner for business stakeholders and solution architects, with whom you define solutions and strategies for data
• Document the as-is data landscape and data flow and design the target state data landscape. 
• Define the principles and roadmap for data, and ensure that projects and solutions are developed and implemented according to the roadmap, following the principles, standards and guidelines. 
• Provide advice and guidance to business stakeholders and solution architects. 
• Review and approve solution designs and facilitate decisions related to data changes and data management systems and processes. 
• Connect knowledge of data and people across functions and systems. 
• Be comfortable working with projects and higher management, supporting and challenging them where necessary. 
• Support expansion and maintenance of the Enterprise Data Model (CDM, LDM). 
• Responsibility for data architecture, data quality, master data management and data lifecycle management
• Integration of requirements of Business Intelligence and Advanced Analytics
• Extract and prepare data from source systems and provide them to Data Analysts and Data Scientists

Skills on Resume: 

• Data Importance Awareness (Soft Skills)
• Enterprise Data Model Governance (Hard Skills)
• Data Architecture Planning (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Landscape Documentation (Hard Skills)
• Principles & Roadmap Definition (Hard Skills)
• Solution Design Review (Hard Skills)
• Data Integration & Preparation (Hard Skills)

Job Summary: 

• Be a leader to different project teams in ensuring that data-dependent solutions are architected, designed and delivered to meet both the functional and non-functional demands of the stakeholders across the organization while maintaining the Lloyds data architecture landscape
• Create different architectural artifacts such as data models, data flows, schema designs and data standards and communicate these to development teams and the wider business community
• Recognize and exploit business opportunities to ensure more efficient and effective performance of Lloyds. 
• Exploring new ways of conducting business and organizational processes using data to innovate new solutions
• Champion data architecture across Lloyds, and set the standards and ways of working for the data architecture community. 
• Communicating this across Lloyds and ensuring that data architecture aligns with and improves Lloyd's wider data strategy
• Advise the project community and oversee the management of the full data product life cycle. 
• Logging, analyzing, and managing problems in the domain as they arise
• Gain a strategic perspective on business issues, events and activities within Lloyds and an understanding of their wider implications and long-term impact. 
• Identify, prioritize, plan and QA or execute data architecture work required to deliver complex IT projects into the Lloyd's Delegated Authority ecosystem
• Work with business stakeholders and business analysts to ensure that business requirements and business processes relating to data assets are properly understood by all parties and recorded/managed appropriately
• Define and extend logical information models using appropriate tools and methods such as Erwin data modeler and Archimate to accommodate new business requirements and evolving strategy

Skills on Resume: 

• Leadership in Data Solutions (Soft Skills)
• Architectural Artifacts Creation (Hard Skills)
• Business Opportunity Recognition (Soft Skills)
• Data Innovation Exploration (Soft Skills)
• Data Architecture Advocacy (Soft Skills)
• Project Lifecycle Management (Hard Skills)
• Problem Analysis & Management (Hard Skills)
• Logical Information Modeling (Hard Skills)

Job Summary: 

• Transferring business requirements into technical requirements of the AEVI data architecture based on AWS Technology (Aurora, Oracle, Athena, Glue, QuickSight….)
• Design, Configuration and Administration of data architecture in compliance with regulatory requirements (PCI, GDPR, CCPA, etc.)
• Take responsibility for the documentation of data flows
• Data modeling and implementation within the business logic of application landscape
• Data management for data within the cloud in terms of CIA (Confidentiality, Integrity, Availability)
• Re-design of existing data models to keep compliance with regulatory requirements
• Take responsibility for the design of a data access model
• Data visualization for decision support with interactive dashboards, reports, and presentations
• Data modeling and transformation in tools like Alteryx, R and Python and the subsequent visualization of the results generated e.g. in Tableau or Power BI
• Optimization of the data science infrastructure
• Construction, operation and quality assurance of an analytical data warehouse
• Define and/or QA solution designs to ensure that master data assets are managed appropriately in complex, integrated solutions
• QA data migration projects to ensure the approach is fit for purpose and appropriate choices are made about mapping and validation of business data

Skills on Resume: 

• Requirements Translation (Hard Skills)
• Architecture Compliance (Hard Skills)
• Data Flow Documentation (Hard Skills)
• Data Modeling (Hard Skills)
• Cloud Data Management (Hard Skills)
• Access Model Design (Hard Skills)
• Data Visualization (Hard Skills)
• Infrastructure Optimization (Hard Skills)

Job Summary: 

• Responsible for end-to-end enterprise Data/Information architecture design, and guiding the principle of development and operation phases.
• Forms a platform to governance the data lifecycle definition and description
• Plan, design, and deliver IT solutions on top of IT/Industrial technology standard requirements, methodology and processes from a Data/Information development perspective.
• Perform deep dives into internal/external data to Identify, analyze, and interpret trends or patterns in complex data sets.
• Drives short & long-term Data/Information development strategy for the overall projects portfolio for key business segments.
• Evaluate and recommend tools, technologies and processes to ensure the highest quality product platform
• Collaborate with business and technology stakeholders to determine functional and non-functional requirements
• Oversee the progress of development teams to ensure consistency with the design
• Ensure data-in-transit and data-at-rest meets all requirements of quality, security, supportability, extensibility, etc.
• Define and identify appropriate sourcing for reference data types and prioritize/direct work to deliver MDM solutions for these
• Understand strategy and standards for corporate data and IT and ensure that projects align appropriately with these, and dovetail appropriately with other delivery programmes
• Delivering data-driven solutions, interfacing with business stakeholders
• Inculcate Data Thinking for the Team (working in multiple locations including offshore) and the Customers
• Understand the new Data Ingestion and Data Lake Technologies such as Talend or Snowflake, Azure Data Factory or Azure or any of the combinations

Skills on Resume: 

• Architecture Design (Hard Skills)
• Lifecycle Governance (Hard Skills)
• Solutions Delivery (Hard Skills)
• Data Analysis (Hard Skills)
• Development Strategy (Hard Skills)
• Technology Evaluation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Ingestion Technologies (Hard Skills)

Job Summary: 

• Lead the process of delivering innovative, reliable, and stable data infrastructure.
• Design and recommend improvements in the technical approach to data.
• Provide thought leadership and strategic direction for approach to data.
• Provide oversight for the design and development of data platforms that fulfill the needs of the business.
• Protect and secure data environment by evangelizing and implementing industry best practices.
• Encourage the team to adopt automation to increase team productivity and improve platform reliability.
• Responsible for the data infrastructure and architecture design required to support internal data systems to fulfill the needs of the business.
• Provide self-service data platform tools to enhance business productivity and success.
• Ensure data is clean, reliable, timely and usable.
• Monitor data system performance to ensure business outcomes are met.
• Contribute and lead a team of business analysts, data analysts, data architects and data engineers
• Contribute to Data Strategy, Data Governance and Data Architecture for the Clients
• Strong communication skills to break down problems into appropriate and relevant points for Clients and Delivery teams
• Support the Data Governance functions and have an understanding of Data Governance

Skills on Resume: 

• Data Infrastructure Design (Hard Skills)
• Data Governance Knowledge (Hard Skills)
• Automation Implementation (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Strategic Leadership (Soft Skills)
• Team Collaboration (Soft Skills)
• Communication and Problem-Solving (Soft Skills)
• Performance Monitoring (Hard Skills)

Job Summary: 

• Conducting Data Discovery activities on the Data Warehouse and Source Systems to analyze data and determine that it is ‘fit for purpose’
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Validate business data objects for accuracy and completeness.
• Analyse data-related system integration challenges and propose appropriate solutions.
• Perform reverse engineering of physical data models from databases and ODI mappings
• Maintain technical and business Metadata in the Data Warehouse.
• Proficient in 3rd normal-form relational modeling and dimensional modeling for data marts
• Guide Analysts & Data Engineers and others on project limitations and capabilities, performance requirements and interfaces.
• Review modifications to existing software to improve efficiency and performance.
• Examine new application design and recommend corrections if required
• Facilitate the Finance and Commercial month-end reporting cycle by communicating the schedule and managing any delivery impacts on timing and quality to stakeholders.

Skills on Resume: 

• Data Discovery and Analysis (Hard Skills)
• Data Modeling (Hard Skills)
• Metadata Management (Hard Skills)
• Data Validation (Hard Skills)
• System Integration Analysis (Hard Skills)
• Reverse Engineering (Hard Skills)
• Technical Guidance (Soft Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Responsible for translation of the conceptual information model into robust data architecture, including logical and physical models, leading to implementation
• Act as the main point of contact to resolve incidents, and requests and perform root cause analysis for data architecture issues
• Regularly review the effectiveness of existing architectures and come up with improvements
• Work closely across initiatives to be involved in all required design specifications and ensure that data flows and integrations fulfill business needs
• Review and re-engineer and approve physical data models of acquired data to ensure data adheres to Ingka Centre common data model
• Engage and align with platform/product owners to ensure the integrity of the data integration landscape
• Work across initiatives within Ingka Centres and Ingka Group, steering products/platforms towards the correct architecture, participating in architecture review boards or groups
• Analyse master data management strategies and models to diminish architectural risks and propose alternatives to improve the overall integrity of the data architecture
• Implementation of information security and data privacy measures to ensure the protection of business data according to rules and policies set out by business
• Deep diving into solution architecture, data architecture, data management and warehousing, ETLs, data governance and data versioning.
• Governing the ingestion of new data to market data foundation, managing the data catalog and quality control across the data foundation.
• Deliver continuous improvement in data process automation that enables scale and performance of the data lake.
• Enables and empowers the teams to solve technical problems, can steer negotiations between multiple business and IT stakeholders

Skills on Resume: 

• Data Architecture (Hard Skills)
• Incident Resolution (Hard Skills)
• Architecture Review (Hard Skills)
• Data Integration (Hard Skills)
• Master Data Management (Hard Skills)
• Information Security (Hard Skills)
• Stakeholder Negotiation (Soft Skills)
• Data Process Automation (Hard Skills)

Job Summary: 

• Interact with Business Users and IT Liaison Leads to capture requirements and determine a solution that best fits the Architecture Landscape.
• Create and manage detailed implementation plans and work with analysts and developers in building and deploying solutions across all environments.
• Collaborate with different teams across the globe, project managers and functional owners in delivering complex and high-quality solutions.
• Create ETL architecture, data flow diagrams, detail design documents, test plans and mapping documents.
• Design and develop Data Integration/ETL programs using Informatica and related technologies.
• Review and validate the code developed by offshore developers and consultants.
• Define and maintain standards & best practices, and ensure developers follow them.
• Serve as an SME and support the team by providing technical assistance, troubleshooting and alternative development solutions.
• Be a Data Integration solution expert and guide the team on new product functionalities, capabilities, best practices and Limitations.
• Coordinate knowledge transfer sessions between development and production support teams.
• Contribute to key strategic initiatives that impact Swiss Re's data and analytics landscape
• Create data architecture visualizations and blueprints to support design decisions, solution design and explanation of requirements to various audiences in business and IT
• Create and maintain an overall Swiss Re data architecture landscape highlighting the impact of strategic projects
• Define and maintain best practices and standards for data and data platforms used across the company

Skills on Resume: 

• Requirement Gathering (Soft Skills)
• Implementation Planning (Hard Skills)
• Global Collaboration (Soft Skills)
• ETL Architecture Design (Hard Skills)
• Data Integration Development (Hard Skills)
• Code Review (Hard Skills)
• Standards Definition (Hard Skills)
• Technical Support (Soft Skills)

Job Summary: 

• Responsible for defining and implementing the technology strategy across Analytics, Big Data, and Cloud platforms
• Research and bring current industry trends to the table, evaluating them for both risk and fit to business requirements.
• Provide insight and technology recommendations that result in enterprise solutions that solve critical business problems.
• Design, deliver, and document multi-platform architecture with a focus on architectural standards, growth, performance, flexibility, reliability, scalability, and security.
• Identify architectural risks and plans to mitigate them.
• Lead innovation by exploring, investigating, recommending, benchmarking, and implementing data-centric technologies for the platform.
• Be the technical architect and point person for data platforms. 
• Architect reliable and scalable data platforms
• Provide standard interfaces to query and support analytics for finance data sets that are as transparent, efficient and easy to access as possible by varied applications.
• Work on complex technical problems and provide highly innovative solutions.
• Determine and pursue courses of action necessary to obtain desired results.
• Support product owners in defining future stories and tech lead in defining technical designs.
• Participate in design conversations and develop the business logic and backend systems of the MVP experience. 
• Participates in the design conversations, and conveys ideas within the train and to groups outside of the train.

Skills on Resume: 

• Technology Strategy (Hard Skills)
• Industry Research (Soft Skills)
• Technology Recommendations (Hard Skills)
• Multi-Platform Architecture Design (Hard Skills)
• Risk Mitigation (Hard Skills)
• Innovation Leadership (Soft Skills)
• Data Platform Architecture (Hard Skills)
• Design Collaboration (Soft Skills)

Job Summary: 

• Ensure that the data assets of an organization are supported by its information technology architecture.
• Recommend strategies based on changing business needs for supported areas.
• Advise management on approaches to optimize business success.
• Evaluate the applicability of leading-edge technologies and use information to significantly influence future business strategy.
• Analyze complex business and competitive issues and discern the implications for systems support.
• Identify, define, direct, and perform project issue analysis to resolve issues, including analysis of the technical and economic feasibility of proposed data solutions.
• Design projects with broad implications for the business and/or the future architecture, successfully addressing cross-technology and cross-platform issues.
• Select tools and methodologies for projects.
• Negotiate terms and conditions with vendors.
• Effectively communicate highly technical information to numerous audiences, including senior management, the user community, and less-experienced staff.
• Develop partnerships with senior users to understand business needs and define future data requirements.
• Assess and promote innovative data architecture concepts such as data mesh or data fabric
• Work with other members of the Group Data Services division, including product owners, data architects, data governance experts, data engineers, data analysts and data scientists
• Foster oneness through facilitating a cross-domain data architects' community

Skills on Resume: 

• IT Architecture Alignment (Hard Skills)
• Strategic Recommendations (Soft Skills)
• Business Optimization (Soft Skills)
• Technology Evaluation (Hard Skills)
• Issue Analysis (Hard Skills)
• Project Design (Hard Skills)
• Vendor Negotiation (Soft Skills)
• Technical Communication (Soft Skills)

Job Summary: 

• Define and develop a Data & Analytics architecture capability for a Business Unit.
• Drive adoption of the Data architecture and be the ‘go-to’ Data expert for a Business Unit. For example by publishing internal & external articles on Analytics topics.
• Establish an appropriate communication strategy for informing the business of new capabilities, services and technology offerings
• Establish the data architecture, information model, standards, policies and procedures for a Business Unit to ensure consistency and compliance within a governance framework.
• Key contributor to Data & Analytics working group across the business and contribute to BT Academy & Professional community.
• Develop 5-year horizon data capability roadmaps for a Business Unit.
• Collaborate with Data & Analytics specialist EA (Data fabric, Data platform and Analytics & AI services) along with Data & Analytics solution architects to bring the data architecture to life and transform a Business Unit.
• Keep up to date with all new services from Data & Analytics technology vendors and establish how they can be used within the business
• Define patterns for analytics and data platform simplification and abstraction.
• Establish a framework for using Analytics across a Business Unit
• Liaise, align, and partner with relevant architecture decision bodies and domain experts
• Creating and maintaining the Data Directory
• Building and maintaining a data model and metadata repository solution
• Being a proactive member of the Organisation’s architecture review board

Skills on Resume: 

• Data Architecture Development (Hard Skills)
• Adoption Advocacy (Soft Skills)
• Communication Strategy (Soft Skills)
• Governance Framework (Hard Skills)
• Roadmap Development (Hard Skills)
• Collaboration with Specialists (Soft Skills)
• Data Model Maintenance (Hard Skills)
• Proactive Engagement (Soft Skills)

Job Summary: 

• Become an expert on the platform architecture, functionality, and data flows as well as operations, processes, and tools.
• Leverage existing business processes and knowledge to improve architecture and create flexible and well-documented solutions
• Design data models and maintain detailed data dictionary and valuable user guides
• Gather requirements and identify business needs, work closely with business owners and data stewards to identify gaps and design solutions
• Identify and eliminate security risk and possible points of failure
• Ownership of Data Standards for how the Organisation structures, stores and processes Data
• Liaising across the organization to produce Enterprise level Conceptual, Logical & Physical Data models
• Responsibility for defining and maintaining architectural Data standards, Data definitions, and the integration/ interface models
• Design architecture solutions that are in line with the long-term business objectives of BT
• Oversee migration of data from legacy systems to new applications (GCP) while analyzing requirements for new data asks and translating them into the technical design
• Design a data infrastructure that supports complex data analytics services including BI, analytical solutions and AI/ML
• Analyse and resolve architectural problems, working closely with engineering, data science and operations teams
• Provide architectural assessments and share best practices, reference architectures, and patterns for use across data engineering and wider architecture communities

Skills on Resume: 

• Platform Architecture Expertise (Hard Skills)
• Process Improvement (Soft Skills)
• Data Model Design (Hard Skills)
• Requirements Gathering (Soft Skills)
• Security Risk Management (Hard Skills)
• Data Standards Ownership (Hard Skills)
• Enterprise Data Modeling (Hard Skills)
• Migration Oversight (Hard Skills)

Job Summary: 

• Provide direction and guidance on cloud platform services - SaaS and PaaS service models.
• Design a scalable and flexible data architecture and create blueprints for big data use case solutions in a Hybrid Environment 
• Ensure data assets can be easily integrated and shared across downstream systems (including external cloud partners)
• Act as a subject matter expert and collaborate with various internal teams and drive the transformation of data-sharing capabilities and culture.
• Lead the Architecture, Design, Build and Run of new Data Models and Data Pipelines. 
• Preparing, Enriching, Normalising, and Modelling data as per the needs of Data Analytics and Data Science activities.
• Lead knowledge management activities including documentation of data assets to promote data literacy.
• Develop standards and best practices for building data services for easy access to data consumers in line with security and privacy needs.
• Develops tangible and ongoing standardization, simplification, and efficiency of engineering processes, reviewing and revising continuous improvement opportunities
• Responsible for developing conceptual, logical and physical data models of a cloud-based enterprise data lake
• Collaborate with project teams to collect requirements, study data and drive data architecture/model design
• Collaborate with other architects to align strategic and architectural view
• Strong Knowledge of data warehousing, data engineering, data lake methodologies and concepts
• Maintain good working knowledge of industry trends, products, relevant laws and regulations

Skills on Resume: 

• Cloud Platform Services Expertise (Hard Skills)
• Scalable Data Architecture Design (Hard Skills)
• Data Integration (Hard Skills)
• Subject Matter Expertise (Soft Skills)
• Data Model Development (Hard Skills)
• Knowledge Management (Soft Skills)
• Standards Development (Hard Skills)
• Collaboration with Architects (Soft Skills)

Job Summary: 

• Collaborate with IT and business leadership during the whole data lifecycle throughout acquisition, modeling, migrations, distribution and reporting
• Providing leadership and guidance in developing and maintaining a system-agnostic data architecture relying on industry standards
• Work closely with delivery teams and business to understand and translate requirements, assess and prioritize deliverables across the whole BI portfolio
• Create an end-to-end vision of how data flows through the organization and lead its implementation following corporate strategy
• Active participation in data governance, influencing data-related decisions and making an impact on the organization
• Project advisory, assisting with conceptual and logical data model design, data standards and provisioning decision-making
• Defining data standards associated with inventory, storage, security, quality, transformation, integration and consumption
• Create and maintain data architecture artifacts and data repositories
• Work with Business Analysts to help analyze and document data requirements. 
• Help extend and maintain the current Information Model, working in collaboration with other architects in the team. 
• Enable Solution Architecture by guiding and extending information models for ongoing initiatives, including evolving and extending the existing content models. 
• Providing expertise in the concepts and principles of data modeling and producing relevant data models across multiple subject areas. 
• Understanding industry-recognized data modeling patterns and standards and knowing when to apply them. 

Skills on Resume: 

• Data Lifecycle Collaboration (Soft Skills)
• System-Agnostic Data Architecture (Hard Skills)
• Requirement Translation (Soft Skills)
• Data Flow Implementation (Hard Skills)
• Data Governance Participation (Soft Skills)
• Data Standards Definition (Hard Skills)
• Architecture Artifact Maintenance (Hard Skills)
• Data Modeling Expertise (Hard Skills)

Job Summary: 

• Driving the design process across platforms, working with business and technology stakeholders to translate business problems into technical designs.
• Actively research, evaluate and drive technology and innovation to deliver solutions to solve customer needs
• Working with Engineering, Operational Design, Business Stakeholders and other Architects to develop approach to identifying and designing solutions across Whitbread
• Working with the relevant solution architect and the wider change team to ensure all solutions are consistent with the overall technology strategy
• Establishing and maintaining strong relationships with stakeholders
• Updating key stakeholders regularly and working collaboratively with them on current and future architecture and strategy
• Propose innovations that improve efficiency, reduce costs or improve the customer and employee experience
• Drive increased revenue or reduce costs by providing roadmaps, identifying commercial opportunities and bringing innovative solutions to future-proof business
• Help define and maintain Content and Data Architecture principles, standards, procedures, and policies.  
• Help foster a culture of technical excellence and innovation across the department. 
• Help build insights into content and data, to help find trends, metrics, and opportunities. 
• Ensuring appropriate documentation is in place and maintained covering data architecture, data models, data dictionaries and data glossaries. 
• Evolving data management approach and for improving overall data quality within the content platform. 

Skills on Resume: 

• Design Process Leadership (Soft Skills)
• Technology Innovation (Hard Skills)
• Solution Development Collaboration (Soft Skills)
• Stakeholder Relationship Management (Soft Skills)
• Efficiency Improvement Proposals (Hard Skills)
• Data Architecture Standards Definition (Hard Skills)
• Documentation Maintenance (Hard Skills)
• Data Quality Improvement (Hard Skills)

Job Summary: 

• Own the overall technical strategy to deliver on both customer products and data product strategies.
• Provide advice and present solutions for products and data warehousing to stakeholders at different levels within the organization.
• Develop and establish patterns for data models to describe how data is processed, stored, and utilized in the overall product ecosystem.
• Collaborate with security and privacy teams to create frameworks for engineering organizations to follow.
• Develop data governance strategy and controls to ensure consistency of data between various systems and components.
• Full SDLC involvement including review of data development activities, data security, auditing, and data quality.
• Work with stakeholders to help define business requirements for complex systems, focusing on understanding and documenting the business processes and data requirements of those processes.
• Work with development teams in the implementation of processes which result in a high degree of data quality and integrity
• Research and assess emerging technologies and recommend technologies that will benefit the organization.
• Promote the adoption of new technologies.
• Design and implement project-based solutions requiring data support
• Troubleshoot data issues across multiple data sources in a distributed environment
• Develop requirements and design for database solutions to store and retrieve company information
• Support alignment of data definitions, policies, governance, and enforcement of enterprise business rules for data

Skills on Resume: 

• Technical Strategy Ownership (Soft Skills)
• Stakeholder Advisory (Soft Skills)
• Data Model Development (Hard Skills)
• Security Framework Collaboration (Soft Skills)
• Data Governance Strategy (Hard Skills)
• SDLC Involvement (Hard Skills)
• Business Requirements Definition (Soft Skills)
• Emerging Technology Assessment (Hard Skills)