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Ernst & Young

Global professional services: consulting, assurance, tax

AI Execution Analyst and Reporting Lead 1 1 1

AI Application EngineeringUpdated on Nov 14
Full-time$157.1k - $353.6kIn-person

About the Job

Requirements

  • At least 10 years of experience in software, automation, or data engineering, including significant time as a senior individual contributor with technical ownership of production systems.
  • 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 skills, including automation of document and data workflows with libraries such as python-pptx, python-docx, openpyxl, and pandas, or equivalent tools.
  • Experience with the Microsoft platform, including 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 reliable unattended systems, including error handling, credential management, logging, alerting, and scheduling.
  • Experience working with large datasets from multiple systems, reconciling them, and assessing whether the data supports the conclusions drawn from it.
  • Experience setting technical standards that others 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.
  • Ability to judge when AI is appropriate, when a conventional solution is better, and what should remain manual.
  • Understanding of AI model limitations and the ability to design verification appropriate to those limitations.
  • Ability to validate the accuracy of reporting relied on by senior leadership.
  • Ability to explain technical trade-offs and their business implications to a non-technical audience.
  • Ability to work independently and set technical priorities in a large program.
  • Strong organizational skills and ability to deliver against fixed reporting deadlines.
  • Ability to maintain integrity, trustworthiness, and confidence when handling confidential information.

Responsibilities

  • Design, build, and operate AI agents and automation that produce recurring program reporting, using Claude and Claude Code integrated with enterprise systems.
  • Own the program’s AI and automation roadmap, prioritizing work according to effort saved and risk reduced.
  • Guide Technology Assurance, Risk and Policy teams on where and how to apply AI and agentic AI within services and processes, including which activities suit AI and the approach to use.
  • Establish practices for consistent and safe AI adoption 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 when an agent must stop and escalate rather than continue.
  • Set program standards for AI use, including work scoping, prompt and context engineering, repeatability testing, documentation, and handling sensitive data.
  • Advise program leadership on where AI is appropriate, when conventional solutions are preferable, and the associated cost, risk, and effort.
  • Evaluate developments in AI tools and models and introduce those valuable to the program.
  • Build resilient, supportable automation with error handling, secure credential management, logging, alerting, version control, and documentation for ongoing maintenance by others.
  • Work with IT and Information Security to obtain approval, connectivity, and ongoing support for AI tooling, and build in accordance with firm policies 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.

Desired Qualifications

  • Experience integrating AI tooling with enterprise systems and data sources.
  • Experience introducing AI tooling into a governed enterprise environment, including its approval and assurance path.
  • Experience evaluating models or agent frameworks and making adoption recommendations.
  • 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.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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