At a Glance
- Tasks: Lead innovative data and AI projects to enhance customer experiences.
- Company: Join JPMorgan Chase, a global leader in financial services.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Embrace a culture of innovation and continuous improvement.
- Why this job: Shape the future of data management and drive impactful change.
- Qualifications: Experience in product delivery and strong leadership skills required.
The predicted salary is between 100000 - 150000 £ per year.
Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences.
The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management.
As a Fusion Product Delivery Manager within JPMorgan Chase CDAO Function, you will oversee the strategic direction and execution of firmwide data/ML/AI projects and programs across various Line of Businesses.
You will drive innovation, influence senior leadership, and ensure alignment with the bank's strategic objectives, including road mapping and long-term planning.
Set and execute the strategic direction for data-driven projects and programs, ensuring alignment with the bank's vision and delivery of transformative value.
Lead and drive data management initiatives, with a strong focus on data lineage, data controls, and compliance with regulatory frameworks such as BCBS.
Operate autonomously, driving project streams independently while maintaining effective reporting and communication with management and stakeholders.
Foster a culture of innovation and continuous improvement, encouraging creative solutions and the adoption of new technologies and methodologies.
Demonstrate a strong appetite for new technology, with a particular interest in AI and emerging tech trends.
Develop comprehensive roadmaps to guide strategic project initiatives, ensuring alignment with the bank's strategic vision and objectives.
Represent the CDAO function in executive meetings and forums, advocating for data-driven initiatives and their impact on the organization.
Significant experience in product delivery, project management, or program management roles, with a strong focus on data management (especially data lineage and data controls) within the financial services industry.
Demonstrated experience or exposure to BCBS regulatory requirements.
Strong leadership, strategic thinking, and stakeholder management skills, with the ability to drive change and influence organizational direction.
Tech-savvy, with familiarity in data architecture, data flow methodologies (e. g., AI-savvy is a strong plus.
Bachelor's degree in Business, Computer Science, Information Technology, or a related field; Master's or MBA preferred.
Recognized thought leader within data management or financial services. Familiarity with centralized Chief Data and Analytics Office (CDAO) operations.
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.
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.
Visit our FAQs for more information about requesting an accommodation.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Product Delivery Manager - Data & AI - Vice president in Bristol
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We think you need these skills to ace Product Delivery Manager - Data & AI - Vice president in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
