Nice-to-Have

• Experience with tools and technologies such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
• Exposure to data governance concepts including critical data elements, lineage, data quality dimensions, ownership, and audit frameworks.
• Experience supporting delivery activities such as intake, triage, prioritisation, wave planning, pod execution, and status reporting.
• Experience working in Agile or Scrum delivery models.
• Knowledge of monitoring and alerting tools for data pipelines, batch operations, and production controls.
• Familiarity with control frameworks, data controls, attestations, audit readiness, and issue management tooling such as DCRM.
• Familiarity with Visio or equivalent tools for process mapping, lineage mapping, and control documentation.

Main Tasks and Responsibilities

• Support the stand-up and operation of the remediation delivery model, including pod structure, intake process, tooling usage, delivery routines, and governance rhythms.
• Conduct discovery sessions with business, technology, controls, and reporting stakeholders to understand reporting objectives, key datasets, control expectations, and remediation edge cases.
• Drive quick-win remediation waves by supporting requirements definition, triage, prioritisation, stakeholder alignment, closure tracking, and evidence capture.
• Perform data profiling and produce findings on completeness, accuracy, consistency, and timeliness to support controls gap assessments and remediation planning.
• Design and execute reconciliation checks, including source-to-target, pre- and post-transformation, and report-to-underlying-data validations.
• Support the delivery and maintenance of controls gap assessment outputs, ensuring prioritisation, ownership, closure plans, and progress tracking are clearly documented.
• Identify data sourcing gaps, coordinate root-cause analysis with subject matter experts, and document agreed remediation and closure plans.
• Support manual controls automation waves by defining requirements, validating outputs, supporting testing, capturing evidence, and ensuring operational readiness.
• Ensure catalogue lineage is populated and that traceability coverage is measurable across critical data elements, transformation logic, reporting outputs, and key reporting chains.
• Lead or support UAT activities for reporting and controls, including test preparation, execution support, outcome validation, defect tracking, and sign-off evidence.
• Produce audit-ready documentation packs, including test packs, control evidence, lineage evidence, decision logs, reconciliation results, and explainable remediation outcomes.
• Track and communicate risks, issues, dependencies, decisions, and changes that may impact remediation outcomes, ensuring appropriate escalation and governance readiness.
• Ensure end-to-end traceability from requirement to transformation logic, quality checks, reporting outputs, control evidence, and audit artefacts.