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Senior Business Analyst

IntelliasIntellias
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
5 tags

Technology context

5

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Role description

We are hiring a Business Analyst to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. You will bridge the client's domain owners and stewards on one side and the delivery engineers on the other, and you will own the backlog in Azure DevOps.

What project we have for you

Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.

As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.

What you will do

  • Elicit requirements from domain owners and stewards and turn them into engineer-ready specifications with source-to-target mappings, semantic definitions and DQ expectations.
  • Define data contracts and agree acceptance criteria for each migrated domain.
  • Maintain the programme backlog in Azure DevOps against the client's ways of working.
  • Track cross-domain dependencies and surface them to the Delivery Manager and Programme Steering.
  • Own the domain migration readiness checklist (steward committed, source contracts documented, consumption use cases agreed) before a domain enters build.
  • Contribute to documentation living alongside the code.

What you need for this

  • Financial services background, ideally asset management, banking or capital markets.
  • Knowledge of at least one asset class, ideally fixed income.
  • Familiarity with investment management data (positions, transactions, portfolio, performance, security master, reference data).
  • 5+ years of business analysis on data or platform programmes.
  • Strong experience of Azure DevOps for backlog management, sprint planning and reporting.
  • Comfort with data engineering vocabulary: schemas, contracts, lineage, DQ, medallion architecture, Unity Catalog.
  • Track record of writing engineer-ready requirements rather than high-level statements.
  • Experience working across multiple domain teams and stakeholders on a single programme.
  • Experience with AI tooling, in particular AI agents
  • Fluent working English.

Nice to have

  • Prior experience in a federated data mesh or data domain operating model.
  • Databricks working knowledge sufficient to walk a steward through Unity Catalog artefacts.