Senior Enterprise Data Modeller
- We make a difference, delivering outcomes for millions of members.
- Join a growing team here in London, working closely with our teams in Australia
- Be part of our in-house team working across all investment data!
- Data Modelling : Design and maintain conceptual, logical, and physical data models aligned with business needs and modelling standards.
- Data Integration : Ensure models support integration from diverse sources (e.g. market data providers, custodians) and maintain consistency across systems.
- Data Solutions : Implement robust data management practices including repositories, metadata, master data, and integrity controls.
- Stakeholder Collaboration : Build trusted relationships with data architects, engineers, and investment domain stakeholders.
- Documentation & Standards : Follow modelling guidelines and maintain documentation such as data catalogues, architecture diagrams, and lineage maps.
- Governance Support : Assist in rolling out data governance policies and standards.
- Subject Matter Expertise : Act as a point of escalation for complex investment data issues and best practices.
- Advocacy & Engagement : Promote data management practices across the organisation.
- Continuous Learning : Stay informed on investment trends, regulatory changes, and advancements in data modelling tools and techniques.
- Core Competencies :
- Extensive experience in data modelling, data governance, and data architecture.
- Proven ability to build and implement large-scale investment data management solutions in complex environments.
- Technical Proficiency :
- Advanced knowledge of modelling methodologies: Inmon, Kimball, Data Vault 2.0.
- Skilled in tools like Erwin for data modelling.
- Strong grasp of the investment data lifecycle, from sourcing to reporting.
- Experience/knowledge of data governance frameworks like DCAM and programming skills (Python, VBA, R etc.) will be valued
- Data Skills :
- Advanced: Data analysis, data mapping, Excel, SQL.
- Intermediate: DAX, Power BI, data transformation.
- Communication & Problem Solving :
- Excellent at translating technical concepts for non-technical audiences.
- Superior problem-solving abilities and adaptability to shifting priorities and ambiguity.
- Platform Experience :
- Familiar with enterprise investment data warehouses and modern cloud platforms like Azure and AWS.
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