Data Mapping Lead for Banking Data Migrations

emagine Polska; Greater London; On-site; GBP 157,000 - 206,000; Full time

Job summary

RBC is seeking a Data Mapping Lead to own source-to-target mapping and assess system compatibility during the Pathway programme's migration into the Avaloq platform. You will surface conceptual mismatches and drive design decisions before testing, bridging technical build and business decisions with formal sign-off through structured show-and-tell sessions.

The role interfaces between data models, rules, and constraints across Banking, Credit, Insurance, and corporate lines, and requires strong

Qualifications

• Experience owning source-to-target mapping.
• Strong understanding of data models across Banking, Credit, Insurance, and corporate lines.
• Ability to create data models and mapping documentation.
• Experience leading meetings with stakeholders for formal agreement.

Responsibilities

• Own source-to-target mapping and system compatibility analysis, going beyond field-level mapping to a full understanding of source/target data models, rules, and constraints.
• Create Conceptual, Logical and Physical data models and associated mapping documentation.
• Define the ETL build sprint plan.
• Lead mapping meetings with business stakeholders to drive agreement and formal sign-off.
• Work closely with the Test Manager and other Migration sub-workstreams to identify root cause on migration defects.
• Use Jira and Confluence for tracking and documentation.

Skills

Mapping ownership

Data modeling

ETL planning

Stakeholder engagement

Migration defects analysis

Tools

Jira

Confluence

Salesforce

SQL

Job description

RBC is seeking a Data Mapping Lead to own source-to-target mapping and assess system compatibility during the Pathway programme's migration into the Avaloq platform. You will surface conceptual mismatches and drive design decisions before testing, bridging technical build and business decisions with formal sign-off through structured show-and-tell sessions.

The role interfaces between data models, rules, and constraints across Banking, Credit, Insurance, and corporate lines, and requires strong