Enterprise Data Architect
Janus Henderson Expired |
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London, UK |
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The Department
The Enterprise Data department plays a crucial role in supporting the success of the business. We are responsible for developing and implementing a data strategy, governance framework, and management model to support all firm data types with high quality data obtained from trusted and resilient sources, across our investment management, trading, distribution, regulatory and operational areas.
Overview of the Role
Reporting to the Global Head of Enterprise Data, the Enterprise Data Architect will collaborate with JHI’s data stewards, technology infrastructure and product teams and multiple functional groups across several lines of business, to drive the development and management of conceptual data models across our key data domains to support the firm’s data-centric strategic goals and objectives.
Your Opportunity
The Enterprise Data department plays a crucial role in supporting the success of the business. We are responsible for developing and implementing a data strategy, governance framework, and management model to support all firm data types with high quality data obtained from trusted and resilient sources, across our investment management, trading, distribution, regulatory and operational areas.
Overview of the Role
Reporting to the Global Head of Enterprise Data, the Enterprise Data Architect will collaborate with JHI’s data stewards, technology infrastructure and product teams and multiple functional groups across several lines of business, to drive the development and management of conceptual data models across our key data domains to support the firm’s data-centric strategic goals and objectives.
Your Opportunity
- Responsible for the overall conceptual data architecture across the JHI enterprise
- Define and design the high-level conceptual data architecture looking enterprise-wide across data life cycle events, sources and systems
- Review proposed designs from within and outside the team to ensure their efficacy and conformance with design principles and guidelines
- Provide data systems architecture advice and mentorship to delivery teams and workstream managers
- Ownership and coordination of data change transversally and management of impact to data architecture
- Develop and promote the strategic data platform (DNA) design principles
- Assess existing and new data requirements on key projects and programs and vice versa.
- Propose/implement changes to the data architecture to ensure requirements are met.
- Contribute to data architecture process improvements and ways of working initiatives
- Partner with Technology teams on developing data-related requirements, prioritizing demand, setting clear scope of responsibilities, and executing an implementation strategy driven by measurable business impact
- Identify opportunities to build efficiencies of scale, surface data redundancies and inconsistencies, reduce risk associated with manual data handling, and deliver creative solutions to the business
- Develop effective relationships with business areas, data operations, technology, and risk to support the delivery of data-related services to the organization
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Excellent Health and Wellbeing benefits including corporate membership to ClassPass
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- All-inclusive approach to Diversity, Equity and Inclusion
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- All employee events including networking opportunities and social activities
- Lunch allowance for use within our subsidized onsite canteen
- Experience with conceptual architecture blueprints and designs
- Experience with database architecture and data modeling
- Experience collaborating and delivering logical data models alongside solution architects
- Experience in data model design lifecycle, in particular mapping of data domains and conceptual modelling
- Business analysis skills and ability to understand and make design recommendations on interrelationships and dependencies of various data domains
- Experience with data lineage mapping, taxonomies, high level data flows, data catalogue and metadata management
- Experience using typical data modelling tools such as ERWin, Oracle data modeller etc.
- Experience using typical data lineage and metadata management tools such as Collibra, Informatica, Alteryx, PowerBI etc.
- Knowledge of Databricks, Snowflake, PowerBI, API, graphQL
- Proficiency in development tools and languages employed in the JHI Cloud such as Python and SQL
- Understanding of common software development methods and the full development lifecycle
- Knowledge of common master data management (MDM) architectures and ETL methods
- Structured business systems analysis methods: Relational and dimensional data modeling, process modeling
- Specification and report writing
- Proficiency in Cloud based analytics processing
- Self-motivated, highly driven and solution-oriented mindset, with a proven track record of execution and collaborative problem solving