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- Tasks: Lead EMEA CDO Data Products and AI initiatives, ensuring compliance and data governance.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of data and AI in finance while making a real impact.
- Qualifications: 8+ years in finance/operations, AI experience, strong analytical skills.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 72000 - 108000 £ per year.
The Firmwide Chief Data & Analytics Office (CDAO) at JPMorgan Chase accelerates the firm’s data and analytics journey, ensuring the quality, integrity, and security of the company's data while leveraging it to generate insights and drive decision-making. The EMEA Chief Data Office (CDO) is part of the wider CDAO and focuses on adoption of the Firmwide Data Management Strategy in EMEA, applying data policies, governance and standards across all Lines Of Businesses and legal entities in EMEA.
Job Responsibilities
- Create and own the EMEA CDO Data Products and AI Readiness Workstreams.
- Understand Firmwide CDO Data Products and AI strategy; engage with EMEA stakeholders to understand their requirements and ensure they are included in the Firmwide program, ensuring timely delivery.
- Partner with Compliance, Legal, Government Relations, Technology and Cybersecurity Policy to be aware of AI-related regulatory initiatives across the EMEA region and their impact on the EMEA data landscape.
- Coordinate other regulatory-specific projects required by EMEA jurisdictions / Legal Entity regulations as needed.
- Evolve current reporting and metrics to strengthen data governance and preparedness for new AI regulations.
- Promote and improve awareness of data culture across the franchise.
- Partner with EMEA CDO colleagues to define the data agenda and strategy in line with global firmwide policies and local regulatory requirements.
Required Qualifications, Capabilities, And Skills
- B.A. in Finance or related field.
- Minimum 8 years of experience in a finance/operations-related field in a role leading within financial institutions.
- Experience in Artificial Intelligence is required.
- Experience in data-related or technology fields is a plus.
- Good understanding of data flows and data controls.
- Clear and concise written and verbal communication skills with the ability to tailor messages to various levels of management.
- Strong aptitude to work with a wide range of lines of business and functions.
- Strong analytical and problem-solving skills.
- Highly motivated with excellent time management and organizational skills.
- Excellent working knowledge of Excel and PowerPoint (including PitchPro).
- Strong interpersonal and relationship-building skills; flexible and capable of engaging various functions, locations, and businesses.
Preferred Qualifications, Capabilities, And Skills
- Experience in data-related or technology fields is a plus.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.
EMEA CDO Data Products and AI Readiness Vice President employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EMEA CDO Data Products and AI Readiness Vice President
✨Tip Number 1
Network like a pro! Reach out to people 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 culture. Knowing what they value can help you tailor your answers and show you're a perfect fit.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the team.
We think you need these skills to ace EMEA CDO Data Products and AI Readiness Vice President
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with the EMEA CDO Data Products and AI Readiness role.
Showcase Your Experience: Highlight your experience in finance, operations, and AI. We’re looking for someone with a solid understanding of data flows and controls, so don’t shy away from sharing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate strong communication skills, so make sure your written application reflects that.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you have a solid understanding of data management strategies and AI readiness. Brush up on the latest trends in data governance and how they apply to financial institutions. Being able to discuss specific examples of how you've engaged with stakeholders or improved data culture will really impress.
✨Tailor Your Communication
Since this role involves liaising with various levels of management, practice tailoring your messages for different audiences. Prepare to explain complex data concepts in simple terms, as well as dive deep into technical details when needed. This shows your versatility and communication skills.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical and problem-solving abilities. Think of scenarios where you've successfully navigated challenges in data management or AI implementation. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Stay Updated on Regulations
Familiarise yourself with current AI-related regulatory initiatives in the EMEA region. Be prepared to discuss how these regulations impact data governance and what proactive steps you've taken in previous roles to ensure compliance. This will show that you're not just knowledgeable but also forward-thinking.
