Asset Management Data Quality Lead - Vice President

15h15 hours ago

JPMorgan Chase & Co.

London, GB · Full-time · £110,000 – £160,000

About this role

Help shape how trusted data powers better decisions and faster innovation. In this role you will set direction and drive measurable improvements in data quality outcomes across Asset Management.

As Vice President you will set the vision and drive execution of a data quality tooling strategy that enables trusted data at scale. You will partner across business, technology, operations and control functions to deliver practical tooling and operating practices.

You will influence senior stakeholders and lead work in a matrixed environment with potential to build and manage a team over time. The role requires translating business needs into scalable tooling and operating models that improve time-to-value.

Coordinate cross-functional delivery while maintaining clear ownership and decision-making. Communicate strategy, trade-offs and outcomes clearly to senior stakeholders and partner teams in a fast-paced environment.

Requirements

Experience in data management and data governance, including data quality frameworks and controls
Experience building strategies and roadmaps that translate into delivered outcomes
Demonstrated ability to influence senior stakeholders and drive decisions across matrixed organizations
Experience establishing objective metrics, reporting and performance monitoring for data quality outcomes
Ability to partner effectively across business, technology, operations and product functions
Strong written and verbal communication skills with ability to simplify complex topics for varied audiences
Strong judgment and structured problem-solving to balance long-term strategy with pragmatic execution
Experience operating in a highly collaborative, fast-paced and intellectually rigorous environment

Responsibilities

Set the vision and drive the execution of the Asset Management data quality tooling strategy and roadmap
Define success measures and ensure progress is visible and actionable
Lead the design and continuous improvement of a centralized data quality framework aligned to enterprise standards
Partner with data owners and custodians to profile, monitor and remediate priority data quality issues
Drive adoption of data quality controls, metrics and dashboards to improve transparency and accountability
Translate business needs into scalable tooling and operating models that improve time-to-value
Use artificial intelligence and machine learning to accelerate detection, triage and remediation
Coordinate cross-functional delivery across matrixed teams while maintaining clear ownership and decision-making