Enterprise Data Architect - Financial Services

Enterprise Data Architect – Financial Services

Excellent opportunity for an Enterprise Data Architect with demonstrable experience in large scale organisations who can take a strategic view of the entire Data Management estates. The person will be a skilled communicator, personable and able to influence with senior stakeholders while still having an in-depth understanding of Data and Data processes.

As a Principal Data Architect, you will take an overarching view across the whole organization, understanding our goals and enabling the business to unlock and realise the potential of data and analytics. Reporting to the Head of Architecture and Strategy, you will collaborate with senior IT leaders, key business stakeholders, and architects to make aligned pragmatic, commercially driven decisions that satisfy business objectives. You will be accountable for the development and delivery of key data capabilities, data management and analytic platform roadmaps and strategies across the enterprise.

Key Responsibilities

• Define the strategy and deliver the vision for enterprise-wide data management, analytics and information delivery across the organisation working with senior business stakeholders and IT Leaders.
• Own the enterprise data model(s), enterprise data flows and metadata systems.
• Establish business glossaries, data dictionaries. taxonomies and data catalogues to provide a common language for business terms, metrics and allow end users to find, understand, trust, and collaborate on data in partnership with data business owners.
• Set data governance, quality, access, storage, reference data, master data, integration, interoperability, modelling and data security standards.
• Facilitate data collection, curation, cohesion and conformity to provide a rich source of content for the Artificial Intelligence (AI) and Machine Learning (ML) endeavours.
• Facilitate best practices for interoperability, integration and data exchange to support frictionless flow of data and process across the enterprise.
• Drive and foster enterprise data assurance and governance to ensure technical and operational delivery teams are working to the requisite data standards.
• Lead the definition of IT data strategies, blueprint and guardrails for solutions, creating and implementing data solutions that meet client, colleagues and compliance needs.
• Work with Principal Architects and Lead Architects to make sure that organisation\’s solutions are designed in accordance with the appropriate data architecture and in line with business, data and technical strategies.
• Define, review, and maintain data architectures, ensuring compliance with development, security, or infrastructure standards.
• Ensure alignment of data solutions across the organization and understand data dependencies between projects and products.
• Provide oversight and advice to Architects, Data SMEs and Data Engineers who are undertaking the design of data capabilities, data and integration solutions, data models etc.
• Provide leadership within the IT and Change Division, championing IT processes, best practices, and standards for data architecture in an agile mode.
• Bring external knowledge and industry best practice to drive innovation and best practices across the data domain.
• Collaborate closely with data architects and other colleagues across Europe and Globally to share and drive data architecture best practice and benefits.

What We\’re Looking For

• Extensive SME knowledge in data, data management and data technology applicable to business areas such as data platforms, financial systems, legal systems, HR systems, contact management systems, and policy administration systems.
• Strong experience in cloud data management, integration and data platform analytics and machine learning, especially with Azure.
• A strategic thinker, able to define and translate business needs in data strategy and elaborating roadmap and guardrails to assure quality of products and projects
• Ability to translate data and technical concepts between software engineering, delivery management, and service management.
• Expertise in making and guiding effective decisions, resolving technical disputes, and turning business problems into technical designs.
• Understanding of the whole context, looking beyond immediate technical problems to identify wider implications.
• Capable of producing strategy for data and data technology that meets business needs and creating, refining, and challenging patterns, standards, policies, roadmaps, and vision statements.
• Knowledge and experience of shifting architecture and data architecture capability from project to product mindset leveraging agility.

Qualifications

• Educated to degree level or equivalent experience in IT.
• TOGAF or BCS Certification (desirable).

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