Delivery Practice Coach-AI Enablement

The Delivery Practice Coach is a hands-on technical coach who helps product engineering teams improve how they deliver software in an AI-accelerated environment. This role focuses on enabling teams to adopt AI-assisted engineering practices, strengthen delivery discipline, and improve flow and predictability. It is not a traditional process or ceremony-focused coaching role. Instead, it emphasizes practical improvement grounded in real engineering work.

About Vanguard Founded in 1975, Vanguard is one of the world’s leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

**Vanguard’s India Office** Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary The Delivery Practice Coach is a hands-on technical coach who helps product engineering teams improve how they deliver software in an AI-accelerated environment. This role focuses on enabling teams to adopt AI-assisted engineering practices, strengthen delivery discipline, and improve flow and predictability. It is not a traditional process or ceremony-focused coaching role. Instead, it emphasizes practical improvement grounded in real engineering work.

Approximately half of this role is focused on AI enablement and AI-assisted engineering, with the remaining time split between delivery practices and flow optimization.

Responsibilities:

• AI Enablement and AI-Assisted Engineering (approximately 50%)
• Delivery Practice Coaches help teams meaningfully integrate AI into how they plan, build, test, document, and review software. They act as experienced AI practitioners themselves, using AI in real workflows to validate guidance and reduce uncertainty for teams.
• Coach product managers, technical leads, and engineering managers on practical, responsible AI usage across real engineering workflows.
• Use personal hands-on AI experience to validate recommendations and build credibility.
• Help teams redesign workflows to take advantage of AI while maintaining quality, security, and engineering standards.
• Translate emerging AI capabilities into clear team practices, guardrails, and learning paths.
• Address resistance, misuse concerns, and quality risks through coaching and enablement rather than mandates.
• Help teams and leaders think ahead about how AI is changing the software development lifecycle and what needs to evolve now.
• Delivery Practices and Operational Discipline (approximately 25%)
• Delivery Practice Coaches strengthen how teams deliver by improving execution, reliability, and discipline without adding unnecessary process.
• Diagnose delivery risks related to quality, reliability, dependencies, and operational health.
• Coach teams on modern delivery and engineering practices that improve outcomes.
• Help teams align delivery behaviors and metrics with product and organizational goals.
• Validate improvements using data, observation, and lightweight experimentation.
• Partner with engineering and product leaders to resolve recurring delivery challenges.
• Flow Optimization and Throughput Improvement (approximately 25%)
• Delivery Practice Coaches help teams improve speed and predictability by removing friction and constraints rather than increasing pressure.
• Identify bottlenecks, handoffs, and wait states that slow delivery.
• Use flow metrics and qualitative signals to guide improvement conversations.
• Design and test targeted, time-boxed experiments to improve throughput and stability to support our efforts at obtaining predictability.
• Help teams reduce work in progress and simplify workflows.
• Support leaders in deciding on tradeoffs around scope, sequencing, and capacity.
• Scope and Influence:
• Delivery Practice Coaches primarily operate at the product family level. They influence product managers, technical leads, and engineering managers through hands-on coaching, experimentation, and enablement. While they surface systemic insights and reusable patterns, they are not expected to lead larg…