at Vanguard
Asset ManagementPosted 14 days ago
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**Technical Scrum Lead** - Specialist, AI-Waterfall Methodology Transition (AWMT) Delivery Practice Coach - **Role Summary**: Hand-on technical coach helping product teams adopt AI-assisted practices, strengthen delivery discipline, & optimize flow. - **Responsibilities**: - Enable AI integration (50%) by coaching managers on responsible AI usage, validating recommendations, & addressing resistance. - Enhance delivery practices (25%) by improving execution, reliability, & discipline without added process. - Optimize flow (25%) by identifying bottlenecks, using flow metrics, & designing targeted experiments to improve throughput & predictability. - **Key Skills Required**: - 8+ years in Agile project management, Scrum Master roles, or technical leadership in software development. - AI-Assisted Engineering & Workflow Enablement, Delivery Optimization & Flow Management, Hands-On Technical Coaching & Problem Solving, Influence & Behavior Change. - Proficiency in Scrum, Kanban, SAFe, & relevant Agile project management tools. **About Vanguard**: A leading global investment management company, committed to fair treatment & investment success for all investors. **Location**: Hyderabad, Telangana – only qualified external applicants will be considered.
- Compensation
- Not specified
- City
- Hyderabad
- Country
- India
Currency: Not specified
Full Job Description
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 globedirectly, through workplace plans, and through financial intermediaries.
Vanguards India Office
Vanguards 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 coachs 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 coachs guidance because it is grounded in real work.
Practices, patterns, and lessons learned are shared and reused across teams.
Qualifications and Skills
- Minimum 8 years of relevant work experience, with at least 5 years of experience in Agile project management, Scrum Master roles, or technical leadership in software development.
- Bachelors degree (B.E./B.Tech) in Computer Science, Information Technology, or a related field.
- AIAssisted Engineering & Workflow Enablement, Delivery Optimization & Flow Management, Hands-On Technical Coaching & Problem Solving, Influence & Behavior Change Across Teams
- Strong expertise in Scrum, Kanban, and SAFe frameworks, with a deep understanding of Agile principles and best practices.
- Scrum Master (CSM, PSM) or SAFe certification preferred.
- Hands-on experience with JIRA, Confluence, Azure DevOps, or other Agile project management tools.
Location
This role is based in Hyderabad, Telangana at Vanguards 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 successat work and in lifewith 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.
