Jobs · Information Technology · Illinois

Americas Tax Technology Group - Development Senior Manager

EY · Chicago, IL · 1 wk ago
On-siteInformation Technology$102k–$295k/yrFull-time

About the role

The Development Senior Manager (DM) sits within the Solution Delivery pillar, responsible for leading the end-to-end delivery of AI-enabled products that support the Americas Tax practice. This role blends people leadership, technical depth, and AI-informed decision making, ensuring products are delivered with speed, quality, and trust while aligning with firm architecture, security, and AI governance standards.

Responsibilities

  • Partner with Product Owners to design, plan, build, operate, and continuously improve one or more products within a portfolio, with a focus on AI-augmented capabilities
  • Own delivery outcomes including quality, reliability, performance, and long-term maintainability
  • Lead development teams to deliver secure, scalable, and cloud-native solutions, incorporating automation and AI where it drives measurable value
  • Ensure products meet 24x7 operational expectations, including leadership of urgent response teams for production issues
  • Drive the responsible adoption of generative AI and advanced analytics in product development, testing, support, and operations
  • Ensure AI solutions follow Responsible AI principles (security, privacy, explainability, compliance, and human oversight)
  • Promote reuse of AI patterns, components, accelerators, and platforms across products and portfolios
  • Embed AI into developer workflows (e.g., design, coding, testing, documentation, support) to improve speed and quality
  • Partner with Development Leads and Architects to create and maintain architecture artifacts including:
    • Infrastructure Architecture Documents (IAD)
    • Solution Design Documents (SDD)
    • AI architecture and integration patterns
  • Ensure adoption of Reference Architecture standards, development patterns, and engineering best practices
  • Drive consistency across teams while allowing flexibility for innovation and experimentation
  • Lead and grow high-performing, inclusive development teams across onshore, offshore, and hybrid models
  • Set clear goals, assign work, manage performance, and conduct career development discussions
  • Coach teams to balance delivery excellence with innovation, leveraging AI as a force multiplier
  • Foster a culture of continuous learning, experimentation, and psychological safety
  • Estimate LOE, manage staffing plans, and optimize capacity across the portfolio
  • Manage vendor relationships including assurance, procurement, and invoice approvals
  • Coordinate closely with DevOps, Architecture, InfoSec, Data, and Platform teams
  • Create and maintain technical and AI roadmaps aligned with product and business strategy
  • Produce clear technical documentation and ecosystem diagrams depicting product interdependencies

Requirements

  • Bachelor’s degree (Computer Science, Engineering, Accounting, Finance preferred) or equivalent experience
  • Master’s degree
  • 10–15 years of relevant experience
  • 6+ years leading development teams using Agile/Lean practices
  • Experience delivering solutions using Microsoft .NET and modern UI technologies
  • Experience building cloud-native solutions (Microsoft Azure preferred)
  • Exposure to generative AI initiatives (product features, developer productivity, analytics, or automation)
  • Experience with DevOps, CI/CD, and platform engineering
  • Exposure to project and portfolio management
  • Tax domain experience

Qualifications

  • Proven track record delivering mission-critical, 24x7 enterprise systems
  • Strong grounding in software engineering fundamentals and modern development practices
  • Deep understanding of distributed systems, cloud-native architectures, and APIs
  • Practical experience applying Agile / Lean delivery models
  • Ability to clearly articulate complex technical and AI-enabled solutions to both technical and non-technical stakeholders
  • Strong decision-making skills informed by data, quality metrics, and AI-assisted insights
  • Comfortable leading through ambiguity and driving outcomes at scale

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