Principal Business Analyst - Data Technology Platforms (Manager I - Consulting)

Asset Management Platform provides the technology platform for all of client’s operational functions across Public Assets, Wealth Management and Private Markets.

We support traditional business processes such as Trade Operations, Portfolio Accounting, Risk Management, Performance Measurement and Attribution, Regulatory Compliance, Client Reporting, and Workflow Automation.

In addition, we also support less traditional areas such as Real Estate, Private Equity, Private Debt and Credit Alternatives and Renewable Energy Infrastructure.

Our primary goal is to deliver business value through application of domain expertise and provision of robust solutions to our customers. The team works very closely with the business domains we support to create a Technology platform with an emphasis on a stable operating environment that can function efficiently and at scale.

The teams primarily operate under agile ways of working but are flexible across large programmes of work.

The Data Technology Platforms team owns the delivery of the Group Data Platform used to support clients’ Operational, Reference and Analytical data requirements. Spanning a variety of tools and technologies, the platform is the strategic solution for providing data throughout the organisation. Our solutions vary greatly depending on requirement and may involve database development, applications, and services.

We recognise that successfully balancing personal and professional commitments brings out the best in our teams and therefore all roles in Global Technology are reviewed for suitability for flexible working arrangements.

What you’ll do

• Represent the Data Technology Platforms team across a portfolio of concurrent initiatives, ensuring delivery of data solutions that provide clear business outcomes.
• Independently lead discovery and requirement elicitation with business stakeholders; facilitate workshops, challenge assumptions, resolve ambiguity, and drive timely decisions.
• Translate business needs into clear, testable specifications, including epics/user stories, acceptance criteria, process flows, data definitions, source-to-target mappings, and data quality/control requirements.
• Partner with data engineers, architects, QA, and support teams to shape solution options, assess feasibility, and ensure end-to-end traceability from requirements through to implementation.
• Use SQL to investigate, profile, and validate data in SQL Server and Snowflake, supporting impact analysis, reconciliation, defect triage, and UAT readiness.
• Support testing and release activities end-to-end: defining test scenarios, coordinating UAT, validating outcomes (including data reconciliation), managing defects, and confirming production readiness.
• Own change through to production, including cutover planning inputs, release notes, operational handover to first-line support, and early-life support coordination.
• Manage priorities across multiple projects, proactively surfacing risks, dependencies, and delivery trade-offs.

• Proven experience as a Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment.
• Strong SQL querying skills (analysis, reconciliation, data validation) with experience working with SQL Server and Snowflake (or equivalent modern cloud data warehouse plus willingness to ramp up quickly).
• Strong requirements engineering capability: elicitation, structured documentation, acceptance criteria, traceability, and stakeholder sign-off.
• Ability to challenge requirements and proposed solutions constructively, balancing short-term delivery with strategic alignment.
• Excellent stakeholder management and communication skills, including experience working with senior business and technology stakeholders.
• Strong analytical and problem-solving skills; comfortable working with large, complex datasets.
• Strong delivery discipline: able to manage multiple workstreams, maintain momentum, and coordinate across teams., * Experience in Investment Management data domains (e.g., holdings/positions, transactions, pricing, reference data, benchmarks, corporate actions, performance, risk, ESG).
• Familiarity with data platform concepts such as batch/stream processing, orchestration patterns, data lineage/metadata, and data quality monitoring.
• Experience working in Agile or hybrid delivery models (backlog refinement, sprint ceremonies, defining “definition of ready/done”).
• Exposure to production support models, operational readiness, and support handover for data services.

What you’ll be like:

• A team-oriented individual.
• Flexible, self-motivated, enthusiastic, and willing to learn.
• A critical thinker who’s able to look at things from different angles.
• Great at unpicking a problem from start to end, owning and delivering the solution.
• Able to work under pressure, on several priorities at once.
• Great at working with other people, sharing, and communicating decisions but can also worked without supervision.
• Keen to improve what we do for our clients