Bulge Bracket Investment Banks

Posted 13 days ago

No clicks

**Strategic Data Reporting Senior Associate - AI Enablement:** Leading global financial institution seeks a **Strategic Data Reporting Senior Associate** to drive AI adoption and portfolio reporting. Analyze tool adoption data, create clear insights, and build senior stakeholder dashboards. Key responsibilities include Python data workflow development, automation, and version control using Git. A curious strategic mindset, strong problem-solving skills, functional Python expertise, SQL proficiency, and excellent communication abilities are essential for this mid-level role. Improve reporting operating models, influence stakeholders, and collaborate in modern development practices. Join this innovative AI Enablement team to grow your impact in a dynamic AI-first environment.

Compensation: Not specified
City: London
Country: United Kingdom

Full Job Description

Location: LONDON, LONDON, United Kingdom

Help shape how AI delivers measurable commercial impact across one of the worlds 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

JPMorganChases 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.

#AIEnablement_jobs

Drive AI adoption reporting and insights that help leaders scale high impact analytics across the Commercial & Investment Bank.

Full Job Description