Description

‒            Design and support implementation of Agile Enterprise architecture services across various Digital Products and Data initiatives in lines with established technical principles, standards and practices.

‒            Work with technical teams, businesses and end-users to successfully design modern applications, APIs, Data platforms. Help to choose correct technologies based on business strategy, capabilities and requirements, including application, data, technology and integration architecture.

‒            Lead the analysis and documentation of the current application and integration landscapes, creating future state architectures and roadmaps.

‒            Creation and management of architecture artefacts and lower-level components.

‒            Perform application demonstrations and technical presentations

‒            Provide technical expertise to design scalable ETL, data lake and data warehouse solutions, including addressing and resolving complex technical issues

‒            Leading data architecture and design, data strategy to help support business objectives

‒            Provide formal technical guidance and informal assistance to engineering teams

The successful candidate

To be successful in this role you will have:

‒            Experience with investment management platforms, associated data ecosystems and delivery of advanced modelling and forecasting capabilities.

‒            Prior experience working for asset management companies and divisions

‒            Experience with client reporting systems, sales and CRM ecosystems such as Salesforce, in depth awareness and knowledge around fund modelling, forecasting and portfolio management systems such as Argus, Anaplan

‒            Expertise in data architecture and data governance

‒            Experience supporting critical infrastructure / data center environments Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.

‒            Excellent written, verbal and presentation communications skills; you will often find in situations where you have to describe problem statements, solution options, your analysis and recommendations to a mix of technical and non-technical, and use strong influencing skills to gain consensus and an agreed way forward.

‒            Ability to approach design with timeliness, cost and quality factors in mind. Risk identification and mitigation, quantification, and qualification non-functional and functional requirements.

‒            Deep application of data architecture, data design, data modeling, including conceptual, logical, and physical models

‒            Ability to analyze business needs and translate them into technical requirements for data management systems

‒            Ensure data security and compliance with all relevant regulations.

‒            Driven digital transformation, roadmaps, target operating models, cost reduction, performance improvement

‒            Proactive in identifying problems early and help the team to prioritise deliverables

‒            Self-motivated, smart and quick to learn

‒            Interest in, and focus on, customers and passionate about creating good user experiences

‒            Good knowledge of agile software development processes

Required skills

‒            Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred)

‒            Deep knowledge of  cloud architecture platforms (AWS, Azure)

‒            Familiarity with data center or critical infrastructure technology ecosystems is a plus

Key Skills

Education

Any Gradute