At a Glance
- Tasks: Lead AI product vision and strategy for settlements and reconciliations.
- Company: Join a leading firm in Applied AI and Machine Learning.
- Benefits: Competitive salary, career growth, and a collaborative work environment.
- Other info: Be part of a dynamic team that fosters innovation and top talent.
- Why this job: Drive transformation initiatives and make a real impact in AI/ML.
- Qualifications: Proven experience in AI product management and strong leadership skills.
The predicted salary is between 100000 - 150000 £ per year.
About the Role
As a senior leader, this role will define the strategic product vision, strategy, and roadmap. You will be part of our CIB Ops AI/ML Product Management team and will have responsibility for ensuring the product supports the company's overall strategy and goals. This is a leadership position within the firm's Applied AI and Machine Learning organization and will involve working closely with CIB Operations and Technology teams.
Responsibilities
- Being the Product Director for specifically Settlements and reconciliations projects and drive large scale transformation initiatives.
- Gathering, managing and prioritising market/customer requirements.
- Acts as the customer advocate.
- Technical product knowledge and expertise on settlements, reconciliations and AI/ML techniques.
- Owns the product roadmap and works closely with cross functional teams including data science, design, engineering, etc.
Requirements
- Proven experience developing product vision, strategy and go-to-market strategies for AI/ML products.
- Expertise in AI infused settlements and reconciliations solutions.
- Strong negotiation, planning and organisational skills with proven experience of recommending implementation strategies to ensure successful delivery of programs and projects.
- Proven experience with the management of decision processes at large organisations, with ability to communicate technical information and ideas at all levels.
- Track record for managing high-performing teams on large and complicated programs.
- Ability to create and support a collaborative culture that attracts, retains and develops top talent.
- Knowledge of industry-wide technology trends and best practices.
- Passionate about building an innovative culture.
AI Product Director employer: JPMorganChase
As an AI Product Director at our firm, you will be part of a dynamic and innovative team that values collaboration and creativity. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, ensuring you can thrive in your career. Located in a vibrant city, our company provides unique advantages such as access to cutting-edge technology and a diverse network of professionals, making it an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Director
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in AI/ML roles. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or case studies that highlight your experience with AI/ML products, especially in settlements and reconciliations. This will help you stand out during interviews.
✨Tip Number 3
Practice your pitch! Be ready to discuss your vision for AI products and how you can drive transformation initiatives. Confidence in your ideas can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Product Director
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how passionate you are about these technologies and how they can transform settlements and reconciliations.
Tailor Your Experience:Make sure to highlight your relevant experience in product vision and strategy, especially in AI/ML. We’re looking for specific examples that demonstrate your expertise and how you've successfully led teams in similar projects.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we want to understand your thought process and how you approach challenges.
Apply Through Our Website:Don’t forget 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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your Product Inside Out
As an AI Product Director, you need to demonstrate a deep understanding of AI/ML techniques and how they apply to settlements and reconciliations. Brush up on the latest trends and be ready to discuss how your vision aligns with the company's goals.
✨Showcase Your Leadership Skills
This role is all about leading teams and driving transformation initiatives. Prepare examples from your past experiences where you've successfully managed high-performing teams or led large-scale projects. Highlight your negotiation and organisational skills.
✨Be the Customer Advocate
Make sure you can articulate how you gather and prioritise market/customer requirements. Think of specific instances where you've acted as the customer advocate and how that influenced product strategy. This will show your potential employer that you understand the importance of user-centric design.
✨Communicate Technical Concepts Clearly
You’ll need to communicate complex technical information to various stakeholders. Practice explaining AI/ML concepts in simple terms, as well as how they relate to the business objectives. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
