Senior Lead AI Data Management Analyst

Wells Fargo•Iselin, NJ

1d•$159,000 - $305,000•Hybrid

About The Position

The Technology AI Transformation & Governance team is seeking a Senior Lead Data Management Analyst to establish and mature enterprise AI measurement, reporting, and analytics capabilities. This role will lead the development of a centralized AI performance framework, enabling leadership visibility into adoption, value realization, operational effectiveness, and governance compliance across Technology. The successful candidate will create a single source of truth for AI metrics and insights, driving data-informed decision making and supporting enterprise AI strategy execution.

Requirements

7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of Reporting, Business Intelligence, or related experience.
3 years experience supporting AI, Machine Learning, Generative AI, or emerging technology programs.
3 years experience developing enterprise reporting frameworks and executive dashboards.

Nice To Haves

Knowledge of data governance, data quality, visualization platforms and enterprise reporting best practices.
Experience measuring technology adoption, operational performance, and business value realization.
Strong stakeholder management and executive communication skills.
Ability to communicate technical concepts to executive and non-technical audiences.

Responsibilities

Act as an advisor to leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs
Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Evaluate data quality metrics and data quality audits to benchmark the state of data quality
Lead the design and implementation of enterprise AI reporting, analytics, and measurement frameworks.
Define key performance indicators (KPIs), success metrics, and reporting standards for AI programs.
Develop and maintain executive dashboards that monitor AI adoption, usage, value realization, compliance, and operational performance.
Partner with Technology, Data Management, Finance, and business stakeholders to establish consistent data definitions and reporting methodologies.
Analyze complex datasets to identify trends, opportunities, risks, and actionable insights.
Improve data quality, governance, and integrity across AI reporting processes.
Translate analytical findings into executive-level recommendations and strategic actions.
Support enterprise reporting requirements and leadership reviews through meaningful metrics and performance insights.
Establish scalable reporting processes and automated monitoring capabilities.
Drive continuous improvement of AI measurement and performance management practices.