At a Glance
- Tasks: Transform AI data into insights that drive decisions and influence leaders.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and contribute to cutting-edge AI initiatives.
- Why this job: Make a real impact by shaping AI strategies in a dynamic environment.
- Qualifications: Strong analytical skills, Python coding experience, and ability to communicate effectively.
The predicted salary is between 63000 - 77000 £ per year.
Help shape how AI delivers measurable commercial impact across one of the world's leading financial institutions. In this role, you will turn adoption and portfolio data into clear insights that influence senior leaders and accelerate decision making. You will combine technical execution with stakeholder partnership, building trusted reporting that scales across businesses. You will join a team focused on innovation, reuse of solutions, and an AI-first mindset. If you enjoy connecting data, strategy, and delivery, this is a chance to grow your impact.
As a Strategic Reporting Senior Associate, AI Enablement in the AI Enablement team, you will support centralized reporting, strategic insights, and oversight for AI adoption and the AI and machine learning portfolio. You will track user engagement with AI tools, measure business impact and use case benefits, and analyze tool costs to inform decisions. You will translate complex signals into executive-ready narratives and recommendations. You will also build and maintain scalable data workflows, dashboards, and automation to improve accuracy, visibility, and reproducibility.
Job Responsibilities
- Analyze AI tool adoption and use case data to uncover trends, inefficiencies, and opportunities.
- Translate adoption and portfolio signals into clear narratives, recommendations, and executive-ready materials.
- Develop and maintain intuitive, interactive visualizations and dashboards for senior stakeholders.
- Build and maintain production-grade Python data workflows that integrate multiple data sources into cohesive reporting.
- Use Git-based version control and collaborative development practices in shared repositories.
- Design and implement automation to improve data quality, lineage, reproducibility, and near-real-time visibility.
- Identify opportunities for reuse, scalability, standardization, and continuous improvement across reporting processes.
- Contribute to operating model improvements, proof of concepts, and best practices for the AI community.
- Partner across stakeholders to deliver strategic reporting and analytics capabilities from concept through delivery.
Required Qualifications, Capabilities, and Skills
- Strategic, curious mindset with the confidence to challenge the status quo constructively.
- Strong quantitative problem-solving and analytical skills.
- Hands-on Python coding capability for data wrangling, automation, ETL-style workflows, and API integrations.
- Working knowledge of version control using Git and modern development practices (branching, pull requests, code review).
- Proficiency with analytics and visualization tools such as SQL, Tableau, or Alteryx.
- Strong written and verbal communication skills, including ability to create executive-ready materials.
- Ability to manage multiple deliverables, prioritize effectively, and deliver under time pressure with high attention to detail.
- Ability to influence and drive alignment across a diverse set of stakeholders.
Preferred Qualifications, Capabilities, and Skills
- Knowledge of data engineering concepts such as data modeling, ETL and ELT patterns, data validation, monitoring, and performance considerations.
- Experience designing or partnering on UI and UX for dashboards and internal reporting experiences.
- Experience improving reporting operating models through standardization, reuse, and scalable delivery practices.
JPMorganChase's AI Enablement team drives adoption of AI and accelerates the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking by integrating AI into business workflows and scaling solutions for measurable impact.
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 J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Strategic Data Reporting Senior Associate - AI Enablement employer: JPMorgan Chase
J.P. Morgan is an exceptional employer, offering a dynamic work environment where you can contribute to the growth of a regional Treasury platform in MENA. With a strong focus on employee development, diversity, and inclusion, you will have access to unique opportunities for professional growth while collaborating with top-tier professionals across various functions. Join us to be part of a high-impact team that values your contributions and fosters a culture of innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Data Reporting Senior Associate - AI Enablement
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like JPMorgan Chase!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Strategic Data Reporting Senior Associate - AI Enablement at JPMorgan Chase.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like JPMorgan Chase.
✨Apply Directly through Our Website
When you find a suitable opening like Strategic Data Reporting Senior Associate - AI Enablement at JPMorgan Chase, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Strategic Data Reporting Senior Associate - AI Enablement
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 JPMorgan Chase, 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 JPMorgan Chase. 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 JPMorgan Chase
✨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!
✨Showcase Your Projects
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 JPMorgan Chase!
✨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.
