AI Deployment Manager

We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank.

On the Data and Analytics Productivity and Transformation Team, we're dedicated to reinventing how data and analysis drives business outcomes.

Our mission is to empower analysts with AI-powered tools and enable deeper, higher-value work for our clients.

We champion skill development and change management, ensuring all data and analytics professionals can thrive in this new AI environment.

By commercializing innovative AI Platforms, Tools, Systems and Products and fostering a culture of experimentation, we deliver measurable productivity improvements and accelerate the adoption of cutting-edge capabilities.

As the AI Deployment Manager on the Data and Analytics Productivity and Transformation Team, you will lead the evaluation, selection, and deployment of both in-house and third-party AI solutions to drive adoption and measurable impact across analytics teams.

Leveraging existing proprietary solutions and dozens of others, you'll implement a standardized evaluation framework, coordinate hands-on testing with diverse analyst groups, and capture feedback through unified scorecards.

You will facilitate the adoption of integrated solutions, eliminate redundant ETL work, and streamline stakeholder requests using AI-driven tracking.

Additionally, you'll commercialize innovative use cases-such as code generation and knowledge bases-support NLP data visualization rollouts and prepare for business user testing of advanced "talk to data" solutions.

Through collaboration with key partners, you'll ensure solutions are rigorously tested, effectively adopted, and aligned with priorities to empower analysts to focus on higher-value work and accelerate the analytics transformation at Chase.

Job Responsibilities:



* Influence the direction of internal tools and platforms while exploring, developing and sourcing AI tools tailored to evolving business needs.


* Liaise with AI focused teams that are building proofs of concept.


* Lead robust evaluations of both in-house AI solutions and external third-party vendors to identify and implement high-impact, high-adoption technologies.


* Establish, customize and maintain a standardized, criteria-driven decision-making process for evaluating and selecting analytic tools and solutions.


* Coordinate and support hands-on testing programs with diverse analyst groups, ensuring real-world feedback and broad participation.


* Capture and analyze tester feedback using unified scorecards and structured evaluation criteria to ensure consistency and comparability.


* Facilitate the adoption and scaling of integrated agentic solutions and multiple point solutions across analytics teams.


* Commercialize innovative use cases, such as code generation and knowledge bases, and support the rollout of NLP data vi...