We are seeking a Data Solutions Designer to join our Data, Analytics & AI (DNA) team in shaping data-driven solutions that enable investment insights, operational efficiency, and client reporting across our asset management business.  In this role, you will help design and guide the implementation of end-to-end data flows—from source systems through to final consumption by business intelligence platforms, data science models, and third-party consumers. This includes contributing to platform architecture, data modeling, and solution review across a modern stack. You’ll collaborate with data engineers, analysts, quants, and business stakeholders to ensure that data solutions are well-architected, secure, scalable, and aligned with the needs of a fast-paced, regulated industry.  This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs. Design End-to-End Data Solutions • Design robust data solutions supporting business intelligence, data processes, analytics and AI/ML initiatives.  • Develop technical flowcharts, data flow diagrams (DFDs), and system interaction models to visualize and validate proposed data solution designs.  • Define data flows from ingestion through transformation, storage, and delivery—including real-time and batch patterns.  • Ensure solutions support both operational and analytical use cases (e.g. dashboards, APIs, external data delivery).  Collaborate Across Teams  • Partner with data engineering, analytics, and AI teams to evaluate and enhance solution designs.  • Provide guidance on architectural decisions, platform capabilities, and technology choices within our AWS and Snowflake-based ecosystem.  Modeling & Metadata  • Design logical and physical data models to support various levels of reporting and analysis.  • Partner with Data Governance to help promote standards for metadata, documentation, and lineage tracking using tools like Alation, DBT and Tableau Data Catalogs.  Platform & Governance Alignment  • Ensure all designs align with platform standards, data governance policies, and regulatory requirements relevant to asset management.  • Contribute to improving data product delivery patterns, reusability, and performance optimization.  Review & Influence  • Review proposed solution designs and challenge approaches to ensure strategic alignment, maintainability, and fit-for-purpose outcomes.  • Act as a thought partner in refining how we deliver data, analytics, and AI capabilities to the business.  Education  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (required).  • Master’s degree in Data Analytics, Information Systems, or Financial Engineering (preferred).  • Relevant certifications (e.g. Snowflake, AWS, dbt, TOGAF) are a plus.  Experience  • 8+ years of experience in data architecture, data solution design, or data engineering—preferably within financial services or asset management.  • Strong understanding of data platforms and architecture, including experience with:  • Snowflake for cloud data warehousing  • AWS for cloud services and data pipelines  • dbt for transformation and documentation  • Demonstrated experience designing data flows and models to support BI, reporting, and/or AI/ML use cases.  Skills  • End-to-End Solution Design Thinking - The ability to see the full lifecycle of a solution—from data ingestion, processing, and modeling to delivery and consumption—while aligning it to business goals.  • Ability to work cross-functionally and communicate clearly with both technical and business stakeholders.  • Solid understanding of data governance, quality, privacy, and regulatory considerations in financial environments.  Desirable experience and skills  • Familiarity with investment data domains such as holdings, transactions, benchmarks, risk, or client reporting.  • Experience with data sharing, APIs, or delivering data to external consumers or partners.  • Experience with building DevOps pipelines for Data and/or AI/ML