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