At a Glance
- Tasks: Lead the charge in enhancing data quality for better decision-making and innovation.
- Company: Join J.P. Morgan, a leader in investment management and private banking solutions.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Collaborative environment with opportunities to build and lead high-performing teams.
- Why this job: Shape the future of data quality and make a real impact in Asset Management.
- Qualifications: Experience in data management and governance, with strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
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 behaviour change.
- Familiarity with agile product delivery practices.
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Asset Management Data Quality Lead - Vice President in London employer: J.P. Morgan
J.P. Morgan Asset & Wealth Management is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the financial industry. As a Vice President in Asset Management Data Quality, you will have access to unparalleled growth opportunities, working alongside top-tier professionals while driving impactful data quality initiatives. The company prioritises employee development and provides a supportive environment where your contributions directly influence strategic decisions, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Management Data Quality Lead - Vice President in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Asset Management space, especially those who work with data quality. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Showcase your expertise! When you get the chance to meet potential employers, be ready to discuss how you've tackled data quality issues in the past. Real-life examples can make you stand out.
✨Tip Number 3
Don’t shy away from asking questions during interviews. It shows you're genuinely interested in the role and helps you understand if the company’s vision aligns with yours.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talent that can drive data quality improvements. Plus, it gives you a direct line to us, making it easier to showcase your skills.
We think you need these skills to ace Asset Management Data Quality Lead - Vice President in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data management and governance. We want to see how your skills align with our vision for data quality tooling in Asset Management.
Showcase Your Impact:When detailing your past roles, focus on the measurable outcomes you've achieved. Use specific metrics to demonstrate how you've influenced data quality improvements or driven successful strategies in previous positions.
Communicate Clearly:Strong written communication is key for this role. Keep your application clear and concise, avoiding jargon where possible. We appreciate candidates who can simplify complex topics, so show us you can do that right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at J.P. Morgan
✨Know Your Data Quality Frameworks
Make sure you brush up on your knowledge of data quality frameworks and controls. Be ready to discuss how you've implemented these in past roles, as this will show your understanding of the core responsibilities of the position.
✨Showcase Your Strategic Thinking
Prepare to talk about how you've built strategies and roadmaps that led to tangible outcomes. Use specific examples to illustrate your ability to translate complex business needs into actionable plans, which is crucial for this role.
✨Communicate Clearly with Stakeholders
Practice simplifying complex topics for varied audiences. You’ll need to demonstrate your strong communication skills, especially when discussing trade-offs and outcomes with senior stakeholders, so think of examples where you've successfully influenced decisions.
✨Emphasise Collaboration and Team Building
Highlight your experience in working across different functions and your ability to build high-performing teams. Be prepared to share how you've fostered collaboration in a matrixed environment, as this will be key to driving the data quality tooling strategy.
