About The Role

Industry/Sector

Not Applicable

Specialism

Functional & Industry Technologies

Management Level

Director

Job Description & Summary

The Opportunity

Join our Acceleration Center India 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 the charge in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will apply your skills in data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts. You will make impactful decisions and oversee multiple projects, maintaining executive-level client relations. Translating the vision, you set the tone and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders.

In this role at PwC Acceleration Center India, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will create a healthy working environment while maximizing client satisfaction. You will cultivate the potential in others and actively collaborate across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Your leadership will promote technological advances, creating an environment where people and technology thrive together.

Responsibilities

Lead an initial team of 30+ engineers across multiple tax technology applications, with scope to grow
Design and implement end-to-end solution architectures for large-scale platforms
Stay close enough to the work to guide architecture, review critical designs and code paths, troubleshoot high-severity issues, and pair with engineers on the most complex problems
Own technical decisions locally - architecture, tooling, patterns, trade-offs
Drive engineering quality in partnership with US colleagues: code review standards, testing practices, deployment reliability
Partner with US portfolio leadership (Directors, Senior Managers) on roadmap execution
Mentor and develop senior engineers and managers on your team
Identify and address technical debt, performance bottlenecks, and scalability gaps
Own operational excellence for your portfolio: uptime, incident response, release reliability, and support burden reduction
Establish and maintain regular operational reporting (production health, delivery velocity, quality metrics, technical debt) for US leadership
Champion modern engineering practices: CI/CD, infrastructure as code, observability
Drive AI adoption across your team: AI-assisted development workflows, LLM integration, agentic automation
Evaluate and implement AI/ML capabilities that improve delivery speed, accuracy, or client outcomes
Build your team's fluency with AI tools (coding assistants, test generation, automated review)

What you must have

Bachelor's Degree in Computer Science, Engineering, or related field
18+ years of software engineering experience with progressive technical leadership
Proven ability to lead teams of 30+ engineers across multiple workstreams
Strong hands-on skills - you can still architect, code, debug, and deploy
Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
Deep understanding of microservices, event-driven architecture, and API design
Experience with .NET/C#, modern JavaScript/TypeScript, or Python at enterprise scale
Track record of improving engineering quality, velocity, and team capability
Excellent communication with both technical teams and business stakeholders
Experience working in distributed/global team models (US + India collaboration)

What sets you apart

Experience building or integrating AI/ML systems in production (LLMs, agentic workflows, RAG, embeddings)
Hands-on experience with AI-assisted development tools and workflows
Experience in financial services, tax technology, or regulatory compliance domains
Experience transforming teams from staff-augmentation to autonomous delivery
Familiarity with Azure DevOps, agile delivery practices at scale