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, leadership opportunities, and a collaborative culture.
- Other info: Be part of a dynamic team focused on innovation and excellence.
- Why this job: Drive transformative initiatives and shape the future of AI products.
- Qualifications: Proven experience in AI/ML 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 in London 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, all while being at the forefront of AI and machine learning advancements in the financial sector. 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 careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Director in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work in AI and product management. Attend events, webinars, or even local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects, especially those related to AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've driven transformation initiatives in the past and how you can apply that experience to the role of AI Product Director.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Product Director in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Product Director role. Highlight your expertise in AI/ML, product vision, and any relevant leadership experience to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for driving our product strategy. Be genuine and let your personality come through.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to lead teams and manage complex projects. Numbers and results speak volumes, so don’t shy away from sharing your successes!
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!
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 and delivered complex projects. Highlight your negotiation and planning 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 voice of the customer in product development and how that led to successful outcomes.
✨Communicate Technical Concepts Clearly
You’ll need to convey technical information to various stakeholders. Practice explaining complex AI/ML concepts in simple terms. This will show your ability to bridge the gap between technical teams and business objectives.
