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Sydney, New South Wales, Australia
Onsite
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
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
S3 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 large-scale organizational transformation programs. This role is expected to support a changing and quickly evolving workforce thus the role could take on special projects as assigned.
What Strong Performance Looks Like
Teams adopt AI-assisted practices that materially improve delivery and quality.
Delivery becomes more predictable, resilient, and disciplined without added bureaucracy.
Teams are able to sustain improvements after direct coaching engagement decreases.
Engineers and leaders trust the coach’s guidance because it is grounded in real work.
Practices, patterns, and lessons learned are shared and reused across teams.
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
S3 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 large-scale organizational transformation programs. This role is expected to support a changing and quickly evolving workforce thus the role could take on special projects as assigned.
What Strong Performance Looks Like
Teams adopt AI-assisted practices that materially improve delivery and quality.
Delivery becomes more predictable, resilient, and disciplined without added bureaucracy.
Teams are able to sustain improvements after direct coaching engagement decreases.
Engineers and leaders trust the coach’s guidance because it is grounded in real work.
Practices, patterns, and lessons learned are shared and reused across teams.
Qualifications and Skills
Location
This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.
Our mission
Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Our commitment to you
Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:
Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.
Physical wellness
We're committed to providing benefits that support your physical health and wellness.
Personal wellness
We're committed to providing resources that help support the full scope of your life.
How we work
Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.