At a Glance
- Tasks: Lead data transformation and manage compliance in a global data environment.
- Company: Join a leading financial services firm driving data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data responsibility and compliance.
- Why this job: Make a significant impact on data governance and strategy at a global scale.
- Qualifications: 10+ years in data risk management and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
Ready to lead data transformation at a global scale? We are looking for a data management lead to drive innovations in data governance and strategy! As the Vice President, Data Management Lead, in Payment Operations Data, Insights & Analytic Solutions (DIAS), you will focus on the compliance of data risk management in the solutions delivering data, analytics and insights. You will manage the data risk strategy to comply with data policies and evolving privacy restrictions. You will partner with senior leaders and cross-functional teams to define the data limitations and solutions to enable both the business and comply with the restrictions. Your expertise will drive appropriate data solutions and compliance across DIAS, partners and stakeholders. You will ensure data is managed responsibly, securely, and in alignment with regulatory and business requirements.
Job Responsibilities
- DIAS Data Risk Management Oversight: Monitor upstream changes to data limitations/restrictions and manage the projects that result in an impact to the DIAS portfolio. Communicate and educate on the evolving data guidelines and the impacts on how DIAS can deliver solutions and support users.
- Country/Branch Expansion Representation: Represent DIAS in country/branch expansion projects, providing expertise on data management requirements and potential challenges for delivery of a global data solutions. Collaborate with legal, compliance, technology and business teams to address data requirements beyond the current solutions.
- Data Restriction & Aggregation: Work with appropriate partners (legal, compliance, business) to determine at what level data becomes restricted and when it can be aggregated globally. Develop and maintain guidelines for data restriction and aggregation, ensuring compliance with local and global regulations.
- Payments CDO partnership: Represent DIAS to provide the required oversight for programs driven by the Payments Chief Data Office (CDO). Lead the remediation for any compliance issues or changes in regulation as part of Payment CDO programs.
- IAS Charter Oversight: Lead the development, implementation, and maintenance of IAS (Inter-affiliate service) charters for DIAS. Act as an advisor to stakeholders who require data from DIAS in the review of their IAS Charters.
- Data Use Case Management: Manage the identification, documentation, and prioritization of data use cases across DIAS. Act as an advisor to stakeholders who require data from DIAS in the creation of their data use case(s).
- Stakeholder Collaboration: Build strong relationships with business, technology, legal, compliance, controls and risk partners to ensure effective data management and oversight for complex data requests requiring multiple partners. Communicate and educate on data management strategies, policies, restrictions and updates to stakeholders and DIAS partners. Contribute to training and awareness to promote data responsibility.
Required qualifications, capabilities, and skills:
- 10+ years of experience in data risk management, data governance, analytics roles, or related fields within financial services.
- Strong understanding of data governance frameworks, data risk management policies & procedures, regulatory compliance, and global data privacy laws.
- Experience with country/branch expansion projects, cross-border data management and knowledge of data restriction and aggregation best practices.
- Experience supporting and enforcing policies for data use, quality, protection, destruction, retention, storage, and lifecycle management.
- Strong verbal and written communication for technical and non-technical audiences, stakeholder management, and project management/leadership skills.
- Self‑motivated and the ability to work collaboratively in a matrixed, fast‑paced, results‑driven environment.
- Familiarity with the firm’s Inter‑Affiliate Services (IAS) and data use framework and use case development.
- Understanding of regulatory compliance standards and requirements related to data.
Preferred Qualifications, Capabilities, and Skills:
- Experience with payments data and country restrictions.
- Experience with BI tools, data lake environments, and emerging technologies.
Data Management Lead – Data Insights & Analytic Solutions employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Lead – Data Insights & Analytic Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its data strategies. Show them you’re not just another candidate; you’re the one who gets their vision!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around data governance and compliance. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar faces in our talent pool!
We think you need these skills to ace Data Management Lead – Data Insights & Analytic Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Management Lead. Highlight your experience in data risk management and governance, and don’t forget to mention any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data transformation and how you can drive innovations in data governance. We love seeing your personality come through, so don’t hold back!
Showcase Your Communication Skills: Since this role involves collaborating with various teams, make sure to demonstrate your strong verbal and written communication skills. Share examples of how you've effectively communicated complex data concepts to both technical and non-technical audiences.
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 Jpmorgan Chase & Co.
✨Know Your Data Governance Inside Out
Make sure you brush up on data governance frameworks and data risk management policies. Be ready to discuss how you've applied these in your previous roles, especially in financial services. This will show that you understand the complexities of the role and can hit the ground running.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data restrictions and compliance. Think about past experiences where you had to navigate complex data challenges and be prepared to share specific examples. This will demonstrate your problem-solving skills and strategic thinking.
✨Showcase Your Stakeholder Management Skills
Since this role involves collaborating with various teams, be ready to talk about how you've built relationships with stakeholders in the past. Highlight any successful projects where you worked cross-functionally, as this will illustrate your ability to manage diverse interests and drive results.
✨Stay Updated on Regulatory Changes
Familiarise yourself with the latest trends in data privacy laws and regulations. Being able to discuss recent changes and their implications on data management will show that you're proactive and knowledgeable, which is crucial for a leadership role in data management.