Data Architect

Position Purpose

The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data.

The scope is CIB EMEA and CIB ASIA

Responsibilities

• Direct Responsibilities
• Engage with key business stakeholders to assist with establishing fundamental data governance processes
• Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards
• Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation
• Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects.
• Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy
• Allows people to step logically through the Information System (be able to train them to use tools like Abacus)
• Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings.

Skill Area

Expected

Communicating between the technical and the non-technical

• Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge.
• Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics.

Data Modelling (Business Flows of Data in Abacus)

• Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models.
• Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards.
• Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs.

Data Standards (Rules defined to manage/ maintain Data)

• Develops and sets data standards for an organisation.
• Communicates the business benefit of data standards, championing and governing those standards across the organisation.
• Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach.

Metadata Management

• Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets.
• Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date.
• The objective is to manage own learning and contribute to domain knowledge building

Turning business problems into data design

• Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements.
• Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns.

Contributing Responsibilities

• It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment.
• The Data Architect needs to have the knowledge of:
• The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles
• The activities Global Market and/or Global Banking
• Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022)

Skill Area

Expected

Data Communication

• Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals.
• Presents, communicates and disseminates data appropriately and with high impact.
• Able to create basic visuals and presentations.

Data Governance

• Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service.
• Understands what data governance is required and contribute to these data governance.

Data Innovation

• Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes
• Aware of opportunities for innovation with new tools and uses of data

Technical & Behavioral Competencies

1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics.

2. Able to create basic visuals and presentations.

3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc)

4. Experience in working with BI Tools (Like Power BI)

5. Good understanding of Excel (formulas and Functions)

Specific Qualifications (if required)

Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA

Other/Specific Qualifications (if required)

1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred

2. DAMA Certified