Enterprise Data Architect
UK Home based | Visa sponsorship available for the right applicant
Salary: £40,000 to £65,000 exp dep
Job Ref: J12717
Our client is implementing a new strategy and transforming how they work, to keep pace with the changing health and care landscape, ensuring people receive safe and effective care.
Becoming an insight-driven organisation is a critical component of their new operating model and role of the Enterprise Data Architect to define the overarching data architecture and associated data models and standards to help transform the organisation's use of data to drive even greater value and impact.
The role holder will support the overall data management strategy and will use good data design to improve data access and use, raise data quality and consistency, and help embed an organisational commitment to the proper governance and secure use of data.
·Develop and own the Enterprise Data Model, and associated detail data design artefacts to ensure a robust and integrated model for data across the Organisation.
·Define the architecture through a set of principles, patterns and standards that can be adopted by projects, applications and systems within the Organisation.
·Collaborate with partners across functions to ensure solutions adhere to architectural principles, best practice, and meet the desired outcomes of customers.
·Work with Technical/Solution Architects to ensure that solutions are designed in accordance with the appropriate data architecture.
·Work with leadership within the Data & Insight and Digital functions to understand the data strategy and to explore tooling and options for the future.
·Lead the design and implementation of strategy, directing the evaluation of strategies and policies to ensure business requirements are met.
·Ensure the data tools, systems, processes and methods are best in class and value for money, ensuring any changes to tools and methods result in service improvement.
·Ensure architecture documentation is produced as per architecture standards and kept up to date at an appropriate level of detail.
·Support creation of repeatable and reusable patterns, components and products for data ingest and management, working with engineering colleagues.
·Support compliance with the regulatory position surrounding data assets such as consumer privacy laws, data retention policies, outsourced data and specific government guidelines through good data design.
·Line manages the data modelling team, facilitating flexible deployment in accordance with unit priorities.
·Lead and facilitate multi-disciplinary teams from across the unit to deliver outcomes.
·Assure that appropriate quality control and assurance is undertaken to ensure consistency, accuracy and relevance of unit outputs.
·Role model behaviours that drive efficiency and quality through continuous improvement and effective change to deliver the Data & Insight operating model.
·Promote a strong data culture across organisation in line with the organisational data strategy.
·Stay abreast of internal and external developments in data, policy and advances in digital analytics tools and data manipulation products, ensuring appropriate awareness within the team.
Essential Skills and Experience:
·Educated to degree level or have equivalent professional experience.
·Strong record of strategic thinking, with strong overall perspective on business issues, events and activities, and an understanding of their wider implications and long-term impact. This could include determining patterns, standards, policies, roadmaps and vision statements, with a focus on outcomes rather than solutions and activities.
·Significant experience working with business and technology stakeholders to translate business problems into data designs, creating optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements.
·Experience in designing data architecture by dealing with problems that span the enterprise, working across all organisational subject areas.
·Good understanding of database theory, design, development, and industry best practices in relational, non-relational and NoSQL technologies
·Track record of conceptual, logical and physical data modelling, and understanding where to use different types of data models. Understand different tools and able to compare between different data models.
·Experience in developing and setting data standards for an organisation.
·Experience in defining data governance practices and policies for the management and use of data, associated meta model, common business vocabulary, ontologies and taxonomies.
·Experience in designing and maintaining the appropriate metadata repositories to enable the organisation to understand their data assets.
·Experience with data remediation projects, from issue identification, through to resolution as it relates to specific risk or operational issues.
·Extensive knowledge of Data Management principles and practices as defined in established frameworks and approaches (such as DAMA Data Management Association).
·Understanding of data governance and how it works in relation to other organisational governance structures.
·Experience of leading large-scale data processing functions in a complex organisation including strategic oversight of large datasets with complex data linkage components.
·Good understanding of issues surrounding storage and processing health and care data, especially information security elements.
·Excellent decision-making skills and sound judgement with minimal supervision and able to coach others to develop their decision-making skills.
·Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales.
·Expert understanding of relevant data sources, tools and systems including knowledge of how to influence senior stakeholders in data approaches.
Desirable Skills and Experience:
·Knowledge and understanding of the health and care sectors.
·Experience of TOGAF as an architectural framework.
·Demonstrable experience of working in multi-skilled, multi-disciplinary Agile delivery teams.
If this sounds like the role for you then please apply today!
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