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- Tasks: Lead AI initiatives for data governance and management at JPMorgan Chase.
- Company: Join JPMorgan Chase, a global leader in financial services and innovation.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic corporate culture.
- Why this job: Be at the forefront of AI technology, driving impactful data strategies.
- Qualifications: Expertise in AI/ML, product management, and collaborative problem-solving required.
- Other info: Ideal for those passionate about data and its transformative potential.
The predicted salary is between 43200 - 72000 £ per year.
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is tasked with accelerating the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. The CDAO harnesses artificial intelligence and machine learning technologies to support the firm's commercial goals, develop new products, and enhance risk management. The Strategy and Execution team defines and executes the vision and strategy. The Firmwide Chief Data Office (CDO) maximizes the value and impact of data globally, with teams focused on data strategy, impact optimization, privacy, governance, transformation, and talent.
As a Director of AI for Data within the Chief Data & Analytics Office (CDAO), you will lead and prioritize efforts to utilize AI for data governance and in support of key data strategy enablers. You will bring a product mindset to collaborating with engineers, applied AI scientists, and researchers to enable the Firmwide Data Strategy through AI capabilities that make data management at massive scale possible.
Job responsibilities:
- Design and develop solutions leveraging AI capabilities for data management challenges
- Lead prioritization of research areas supporting data management and governance
- Collaborate with our lines of business and corporate functions to identify co-development solutions focused on data management challenges
Required qualifications, capabilities, and skills:
- Formal training or certification on data and AI/ML concepts and expert applied experience.
- Extensive experience as either a product manager, product designer, engineer, data analyst, data scientist, or AI researcher
- Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative
- Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship
Preferred qualifications, capabilities, and skills:
- Experience with formal methods, formal verification a plus
- Experience with knowledge graphs and graph theory a plus
- Experience with data management a plus
Director of AI for Data employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI for Data
✨Tip Number 1
Network with professionals in the AI and data management fields. Attend industry conferences, webinars, or local meetups to connect with people who work at JPMorgan Chase or similar companies. Building these relationships can provide you with insider knowledge and potentially a referral.
✨Tip Number 2
Stay updated on the latest trends and technologies in AI and data governance. Follow relevant blogs, podcasts, and thought leaders on platforms like LinkedIn. This will not only enhance your knowledge but also give you talking points during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions for data management. Be ready to explain your thought process, the challenges you faced, and how you collaborated with cross-functional teams to achieve results.
✨Tip Number 4
Familiarise yourself with JPMorgan Chase's data strategy and recent initiatives. Understanding their goals and challenges will allow you to tailor your discussions and demonstrate how your skills align with their needs during the interview process.
We think you need these skills to ace Director of AI for Data
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and qualifications required for the Director of AI for Data position. Tailor your application to highlight how your skills and experiences align with the job description.
Craft a Compelling CV: Your CV should clearly showcase your relevant experience in AI, data management, and product development. Use bullet points to outline your achievements and quantify your impact where possible. Make sure to include any formal training or certifications related to AI and ML.
Write a Strong Cover Letter: In your cover letter, express your passion for data and AI, and explain why you are a great fit for the role. Highlight specific projects or experiences that demonstrate your ability to solve complex problems and collaborate effectively with teams.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Look for any grammatical errors, typos, or unclear phrasing. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at J.P. Morgan
✨Showcase Your AI Expertise
Make sure to highlight your formal training and hands-on experience with AI and machine learning. Be prepared to discuss specific projects where you've successfully applied these technologies to solve data management challenges.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your ability to tackle complex problems with multiple constraints. Use the STAR method (Situation, Task, Action, Result) to structure your responses and illustrate your sound judgement in assessing risks.
✨Emphasise Collaboration
Since the role involves working closely with engineers, designers, and business leaders, be ready to discuss your experience in fostering constructive relationships. Share instances where collaboration led to successful outcomes in previous roles.
✨Understand Data Governance
Familiarise yourself with data governance principles and how they relate to AI applications. Be prepared to discuss how you would prioritise research areas that support effective data management and governance within the organisation.
