Acceleration Center - Technical Engineering Director - Delivery Experience

Industry/Sector

Not Applicable

Specialism

Functional & Industry Technologies

Management Level

Director

Job Description & Summary

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.

Responsibilities

- 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.

What You Must Have
- 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.

What Sets You Apart

- 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.

Travel Requirements

Up to 20%

Job Posting End Date