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Chase · 1 day ago

AI Deployment Manager

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Senior Level

$128K/yr - $205K/yr

5+ years exp

Chase is a leading financial services firm focused on helping households and small businesses achieve their financial goals. The AI Deployment Manager will lead the evaluation, selection, and deployment of AI solutions to enhance analytics capabilities and drive measurable impact across teams.

BankingFinancial Services

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

Qualification

Business analyticsAnalytics tools evaluationData analytics platformsMachine learning conceptsCross-functional team managementAnalytical skillsInfluenceChange managementCommunicationCollaboration

Required

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