AI Execution Analyst and Reporting Lead 1 1 1

EY•Atlanta, DC

6d•$157,100 - $353,600•Hybrid

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Today's world is fueled by vast amounts of information. Data is more valuable than ever before. Protecting data and information systems is central to doing business, and everyone in EY Information Security has a critical role to play. Join a global team of over 1000 people who collaborate to support the business of EY by protecting EY and client information assets. Our Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond to security events as they happen. Together, the efforts of our dedicated team help protect the EY brand and build client trust. Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology solutions as we consider the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting and enabling the business through innovative, secure solutions that provide speed to market and business value.

Requirements

Proven technical authority in AI engineering, built on agents and automation in production that other people depend on.
Ability to judge where AI is the right tool, where a conventional solution is better, and what should remain manual.
Understanding of the limitations of AI models, and the ability to design verification appropriate to those limitations.
Strong analytical skills, with the ability to validate the accuracy of reporting relied on by senior leadership.
Capable of building relationships with senior stakeholders.
Proficient in explaining technical trade-offs and their business implications to a non-technical audience.
Ability to work independently and set technical priorities in a large program.
Ability to team well with others and raise the AI engineering capability of colleagues.
Strong organizational skills and the ability to deliver against fixed reporting deadlines.
Ability to maintain a high level of integrity, trustworthiness and confidence when handling confidential information.
At least 10 years of experience in software, automation or data engineering, including significant time as a senior individual contributor with technical ownership of systems in production.
Demonstrable experience building production solutions with Claude, including Claude Code and the Claude Agent SDK.
Experience designing agentic workflows that complete an end-to-end task.
Practical prompt and context engineering, including testing that model output is reliable and repeatable.
Strong Python, including automation of document and data workflows with libraries such as python-pptx, python-docx, openpyxl and pandas, or the equivalent.
Microsoft platform experience: Power Apps, Power BI, Dataverse, Copilot Studio and Microsoft Graph.
Production experience with a major enterprise workflow automation platform such as Power Automate, including error handling and unattended runs.
A track record of automating a recurring operational or reporting process end to end, with demonstrable outcomes.
Experience building unattended systems that run reliably, including error handling, credential management, logging, alerting and scheduling.
Experience working with large datasets drawn from multiple systems, including reconciling them and assessing whether the data supports the conclusions being drawn from it.
Experience setting technical standards that other people build to, through review, shared components or documented patterns.
A degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent work experience.
Strong English language communication skills and the ability to work with diverse, globally distributed teams.

Nice To Haves

Experience integrating AI tooling with enterprise systems and data sources.
Experience introducing AI tooling into a governed enterprise environment, including the approval and assurance path.
Experience evaluating models or agent frameworks and making an adoption recommendation.
Experience delivering security, technology risk or audit reporting to a senior audience.
Familiarity with vulnerability management data and tooling.
Experience coaching or building technical capability in colleagues who are not engineers.
Relevant certification in cloud, data or security engineering.

Responsibilities

Design, build and operate the AI agents and automation that produce the program's recurring reporting, using Claude and Claude Code, integrated with the enterprise systems.
Own the AI and automation roadmap for the program, prioritizing work according to the effort it saves and the risk it reduces.
Guide teams across Technology Assurance, Risk and Policy on where and how to apply AI and agentic AI within the function's services and processes, including which activities are suited to AI and the approach to take.
Establish the practices that allow AI to be adopted consistently and safely across the function, and support teams in applying them.
Establish how AI output is verified, including reconciliation and checks against source data on every run, and define the conditions under which an agent must stop and escalate rather than continue.
Set the standards the program builds to for AI use, covering how work is scoped to an agent, prompt and context engineering, testing for repeatability, documentation and the handling of sensitive data.
Advise program leadership on where AI is appropriate, including where a conventional solution is the better answer, and on the cost, risk and effort involved.
Evaluate developments in AI tooling and models and introduce what is of value to the program.
Build automation that is resilient and supportable, with error handling, secure credential management, logging and alerting, held in version control and documented so that it can be maintained by others.
Work with IT and Information Security to secure approval, connectivity and ongoing support for AI tooling, and build within firm policy on AI use, data classification and client confidentiality.
Represent the program's AI and automation position to senior stakeholders and governance forums.
Develop AI engineering capability across the program through reusable components, documented patterns and practical working sessions.