Front-office Data Management SME

Front-office Data Management Consultant (VP) - sought by investment based in London - Hybrid

*12-month Fixed term contract - then conversion to permanent role*

Sitting within the Business Change & Governance team, you'll work closely with Front Office, COO, IT, Finance, ESG and other key functions to enhance data quality, build robust data models, and drive data-led transformation initiatives.

Key Responsibilities

Data Management, Governance & Oversight

• Lead governance of Front Office banking data, ensuring quality, consistency, and continuous improvement.
• Create ETL pipelines and automated data ingestion processes.
• Manage current and future data warehouse architecture, driving optimisation and best practice.
• Integrate data outputs with tools such as Salesforce, Power BI, Dealogic and other analytics platforms.
• Enhance the organisation's golden source of data to support reporting, analysis, and strategic initiatives.
• Interrogate and uplift historic data to align with evolving data models.
• Produce comprehensive documentation and business requirements.
• Develop data models to support management information and future LLM/GenAI initiatives.
• Collaborate cross-functionally to diagnose and improve data quality issues.
• Manage data quality and client hierarchy within Salesforce and ensure consistency across systems.

Change Management

• Oversee change management for all data-related activities, including requirements gathering, UAT and regression testing.
• Act as the primary contact for third-party data solution providers and regional data stakeholders.
• Drive process improvement and automation wherever possible.

Stakeholder Engagement & Leadership

• Serve as SME for all data-related matters across the banking division.
• Build strong relationships with Front Office, senior leadership, IT and operational teams.
• Promote a culture of transparency, accountability and continuous improvement.

Experience & Skills Required

• Strong experience working with Front Office teams in a Corporate & Institutional Banking environment.
• Deep knowledge of financial products, accounting concepts and data modelling.
• Excellent SQL skills and experience building complex queries and tables.
• Proficiency in Python and working with large datasets.
• Hands-on experience with major cloud data warehouse solutions (e.g., Snowflake).
• Strong background in data governance, data quality and end-to-end data management.
• Experience with ETL tools, data pipelines and automation.
• Familiarity with Salesforce or comparable CRM platforms.
• Minimum 5 years' experience in a large financial institution; STEM degree preferred.
• Strong communicator, self-starter and collaborative team player.

Please apply within for further details - Matt Holmes, Harvey Nash