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 visualization and “talk to data” solutions.

• Collaborate with key partners to drive solution deployment, conduct regular progress check-ins, and ensure alignment with strategic objectives and OKRs.

 

Required Qualifications, Capabilities and Skills:

• BS Degree and 5+ years in business analytics, consulting, or solution design roles with significant experience leading large-scale analytics initiatives across complex organizations.
• Success managing cross-functional teams and driving organizational change implementing standardized frameworks, piloting new technologies, and achieving measurable business outcomes.
• Ability to evaluate and implement analytics tools and technologies, both in-house and third-party.
• Experience with data analytics platforms, machine learning concepts, and related technologies (e.g., Databricks, Snowflake, NLP tools).
• Adept at leading complex projects, coordinating cross-functional teams, and delivering results on time.
• Capacity to design and execute structured evaluation frameworks, pilot programs, and user testing scenarios.
• Focused on delivering measurable outcomes, such as productivity improvements, cost savings, or enhanced user satisfaction.
• Excellent communication, with an ability to convey the strategic vision in a digestible manner for varying technical, non-technical, and senior audiences 
• Experience and ability to collaborate, influence, and build consensus among senior leaders, technical teams, and business stakeholders to align on priorities and drive adoption of innovative solutions.
• Knowledge of data management and analytics organizations, quantitative methods, and work product development processes

Preferred qualifications, capabilities, and skills

• Advanced degree in an applicable STEM field
• Excellent analytical skills with the ability to assess solution effectiveness, identify gaps, and recommend improvements.
• Ability to drive adoption of new tools and processes, including training, communication, and change management initiatives.
• Clearly articulate technical concepts, present findings, and influence decision-making at all organizational levels.
• Comfortable working in a fast-paced, evolving environment and quickly adapting to new technologies, methodologies, and business needs.

 

Lead the evaluation, selection, and deployment of both in-house and third-party AI solutions to drive adoption and measurable impact.