Accountable for the delivery of Asset Management's technology strategy through a significant period of transformation and enabling a suitable support model for a mature Asset Management function which is core to the success of the wider Standard Life Group.
Key responsibilities
Designing, building and reverse engineering data models and metadata systems
Help delivery teams to interpret business needs and transpose these into scalable data models
Provide oversight and advice to other architects and engineers within RS&AM who are undertaking the design and build of data models and technology solutions
Support engineering teams by communicating your data models in order for efficient delivery within an agile framework
Understanding and communication of different types of data models for different purposes to support the delivery of data solutions ranging from master data management systems to reporting data marts
Knowledge of how best to design data platforms to the strengths of market leading technologies such as AWS S3/lambda and Snowflake
Design data platforms which cater for different business areas, drawing links between problems to reach common solutions.
Design of semantic models in Snowflake for AI use cases or for use in Power BI solutions
Effective communication with a variety of stakeholders, supporting and hosting discussions within a multidisciplinary team, with potentially difficult dynamics.
Demonstrate awareness that data needs to be aligned to the needs of the end user, and production of logical and physical models which align to specific end user needs.
Undertaking data profiling and source system analysis, and present clear insights to colleagues to support the end use of the data.
Support for and understanding of what data governance is required and where, and taking an active role for the assurance of data solutions with recommendations to ensure compliance.
Active participation in architectural governance forums and working groups and ability to support multiple projects simultaneously through design authorities
Supporting the creation and on-going management of data dictionaries (business/technical)
Providing input and enforcement of the information standards policy. Highlighting deficiencies and improving upon where required
Promoting the availability of data from corporate systems over manual curation. Record and catalogue where manual tasks exist and opportunities to automate are available
Collaborating with delivery teams, Data Architects and Data Governance to effectively prioritise your activities
What we're looking for
Essential
Experience of Financial Services, and specifically within Asset Management
Excellent working knowledge of standard data modelling tools (e.g. Erwin)
Experience with datasets relating to investment, asset data, including derivatives
Good stakeholder management and engagement skills
Knowledge of Agile methodologies and tooling to support agile delivery of projects (e.g. Jira/Confluence)
Understanding of Data Warehouse and/or Data Lake and/or Data Lakehouse
Experience with multiple data storage types and technologies in data warehouse and data lake solutions and how to model data for efficient usage of them. Examples include relational DBMS (e.g. Postgress, Oracle ), Columnar DBs (E.g. Amazon Redshift, Snowflake), cloud object storage (E.g. Amazon S3)
Understanding of architecture and design concepts for ETL/ELT solutions utilising a range of tooling
Understanding of architecture and design concepts for data exploitation solutions and technologies includes Analytics (E.g. R & Python), Reporting (E.g. Quicksight, Tableau, Qlik, Power BI) & APIs
Demonstrable expertise in the areas of data modelling in large complex IT estates, implementation of multiple data architectures and integration of Data Management/Governance tooling
Experience in modern ways of working (examples include Agile, CI/CD, DevOps, Test Automation)
Excellent communication, influencing and facilitation skills, in particular for problem solving and troubleshooting activities
Assertiveness in dealing with people at all levels within and outside of the delivery organisation
Issue management, prioritisation and ability to provide pragmatic direction which is consistent with clients' longer-term strategy
Able to demonstrate resilience, flexibility and adapt to changing schedules and priorities
Desirable
Membership of a professional body
Degree in Computer Science, Technology or Engineering
Personal Attributes
Customer focused with an attitude to deliver excellent customer outcomes through technical expertise
Problem solving, analytics and resolution skills
Strong verbal and written communication skills
Demonstrated ability to communicate effectively across teams
Ability to operate in cross-functional and multidisciplinary teams
Ability to learn new technologies. Continuously strives to learn and make time for self-development.
We want to hire the whole version of you.
We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.
If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.
We’re reviewing applications as they come in, so apply early to avoid missing out.
Find out more about working at Standard Life
Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates
Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us
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