
at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 days ago
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**Asset Management Data Quality Lead (VP) needed to drive strategic improvement in data quality, leveraging AI/ML for enhanced transparency and efficiency. Set vision, design tools, and monitor progress to ensure data trustworthiness, partnering with cross-functional stakeholders. Bring proven data governance experience, strong communication skills, and a strategic mindset to shape and deliver this critical focus area in Asset Management. Ideal candidate will possess relevant domain experience and skilled in agile product delivery.**
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Location: LONDON, LONDON, United Kingdom
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 a Vice President, Data Quality Tooling Product Lead in Asset Management Data Strategy, you will set the vision and drive the 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, operating practices, and transparency into data quality. You will influence senior stakeholders and lead work in a matrixed environment, with potential to build and manage a team over time.
Job responsibilities
- Set the vision and drive the execution of the Asset Management data quality tooling strategy and roadmap
- Define success measures (objectives, key results, metrics) 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
- Embed fit-for-purpose data quality practices that support business outcomes
- Translate business needs into scalable tooling and operating models that improve time-to-value
- Use artificial intelligence and machine learning (where appropriate) to accelerate detection, triage, and remediation
- Coordinate cross-functional delivery across matrixed teams while maintaining clear ownership and decision-making
- Communicate strategy, trade-offs, and outcomes clearly to senior stakeholders and partner teams
Required qualifications, capabilities, and skills
- Experience in data management and data governance, including data quality frameworks and controls
- Experience building strategies and roadmaps that translate into delivered outcomes (not solely project/program management)
- 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; ability to simplify complex topics for varied audiences
- Strong judgment and structured problem-solving; ability to balance long-term strategy with pragmatic execution
Experience operating in a highly collaborative, fast-paced, and intellectually rigorous environment
Preferred qualifications, capabilities, and skills
- Experience working in or supporting Asset Management business lines and data domains
- Experience designing or implementing modern data quality tooling and operating models
- Experience applying artificial intelligence and machine learning to data quality use cases
- Experience developing talent and building high-performing teams
- Strong user experience mindset for tooling adoption and sustained behavior change
- Familiarity with agile product delivery practices



