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PwC Acceleration Center Mexico seeks a Technical Engineering Director to lead a portfolio of tax technology applications, guiding solution design, architecture, and modernization across cloud-enabled platforms and AI-assisted workflows. You will set technical direction, coach senior engineers, and translate business needs into scalable engineering outcomes within our Technology Consulting practice.
The role balances stabilization, regulatory updates, production reliability, and modernization
Not Applicable
Functional & Industry Technologies
Director
The Opportunity
Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Technical Engineering Director you will lead a portfolio of tax technology applications, guiding solution design, architecture decisions, engineering standards, incident response, and the delivery of modernization efforts across cloud-enabled platforms and AI-assisted workflows. As a Director you will set technical direction, shape delivery across multiple initiatives, and coach senior engineers while translating business needs into scalable engineering outcomes within our Technology Consulting practice. In this role at PwC, you will support a team in PwC Acceleration Center Mexico as it grows toward broader application ownership, balancing stabilization work, regulatory updates, production reliability, and modernization efforts across software engineering and product innovation.
Leading a portfolio of tax technology applications across design, development, testing, deployment, and ongoing support
Owning delivery of a project while balancing stabilization work and modernization initiatives across the portfolio
Designing end-to-end solution architectures for enterprise platforms and guiding technical direction on complex system decisions
Reviewing critical designs, code paths, incident root causes, and architecture trade-offs to unblock senior engineers
Driving engineering discipline through coding standards, testing rigor, release reliability, and observability practices
Establishing local delivery ownership by moving teams from staff augmentation toward full application accountability
Coaching senior engineers and technical leads through direct feedback, problem solving, and architectural decision making
Identifying technical debt, performance bottlenecks, and scalability gaps, then shaping remediation plans
Building AI-assisted development workflows, automated test generation, and LLM-enabled capabilities for compliant technology delivery
Tracking delivery velocity, quality metrics, production health, and support trends to guide roadmap and operating decisions
Establishing sprint discipline through retrospectives, root cause analysis, and transparent trade-off management.
Driving QA transformation through automated testing standards and locally owned quality practices.
Partnering with US portfolio leadership to execute roadmaps and strengthen delivery accountability.
Bachelor’s Degree in Computer Science, Engineering, or related field.
15+ years of software engineering experience with progressive technical leadership.
Proven ability to lead teams of 30+ engineers across multiple workstreams.
Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
Leading enterprise application architecture across multiple platforms and teams
Designing scalable solution architectures for complex technology portfolios
Driving engineering quality through code reviews, testing, and deployment reliability
Mentoring senior engineers and managers in delivery execution
Advancing AI-assisted development, automation, and observability practices
Experience building or integrating AI/ML systems in production environments.
Experience with agentic workflows, RAG, embeddings, or agent orchestration patterns.
Experience transforming teams from staff augmentation to autonomous delivery models.
Up to 20%