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Americas Tax Technology Group - Development Manager

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: EY
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 86600 - 197800 USD Yearly USD 86600.00 197800.00 YEAR
Job Description & How to Apply Below

Location:

Dallas, Nashville, Chicago, Atlanta, Dallas

Opportunity

As part of the Americas Tax Technology Group (ATTG), you will be part of an organization that designs, builds, and operates AI‑enabled digital products that empower our Tax professionals and clients. ATTG partners closely with the Tax practice to deliver secure, scalable, and responsible technology solutions, including digital and mobile tools, data platforms, analytics, dashboards, visualization, and emerging generative AI‑driven experiences.

Our

guiding AI principles
  • Human‑centered and value‑driven AI
  • Responsible, secure, and compliant by design
  • Reuse before build; platforms over point solutions
  • AI embedded into workflows, not bolted on
  • Rapid experimentation with disciplined scale

The Development 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.

Your

Key Responsibilities
  • Product Delivery Leadership:
    • 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
  • Agentic Engineering:
    • 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
  • Architecture, Standards & Platforms:
    • Partner with Development Leads and Architects to create and maintain architecture artifacts including Infrastructure Architecture Documents (IAD) and Solution Design Documents (SDD), and 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
    • Embed AI into developer workflows (design, coding, testing, documentation, support) to improve speed and quality
  • Team & Talent Leadership:
    • 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
    • Coordinate closely with Dev Ops, Architecture, Info Sec, Data, and Platform teams
    • Create and maintain technical and AI roadmaps aligned with product and business strategy
Skills And Attributes For Success
  • Proven track record delivering mission‑critical, 24x7 enterprise systems
  • Strong grounding in software engineering fundamentals and modern development practices
  • Deep understanding of distributed systems, platforms, and cloud‑native architecture
  • 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 predictable outcomes at scale
To qualify for the role you must have
  • Bachelor’s degree (Computer Science, Engineering, Accounting, Finance preferred) or equivalent experience
  • 5–10 years of relevant experience
  • 3+ years leading development teams using Agile/Lean practices
  • Design and deliver modern engineering solutions using Microsoft…
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