Technical Scrum Master

NTT DATA North America; Bengaluru Urban; Hybrid; INR 2,800,000 - 4,000,000; Full time

Job summary

NTT DATA is seeking a Technical Scrum Master to lead agile delivery for the AWS Policy Master engineering pod in Bangalore. You will bridge product owners, policy SMEs, solution architecture, data engineering, API, and DevSecOps to ensure predictable releases in the S3-Lambda-SQS-Aurora-API flow.

The ideal candidate has 8-10 years of delivery experience, strong Scrum/Kanban practice, and hands-on Jira/Confluence.

Qualifications

• 8-10 years of technology delivery experience with at least 4 years as Scrum Master or agile delivery lead.
• Strong Scrum and Kanban practices across sprint ceremonies, backlog, and release planning.
• Experience coordinating cloud data pipelines, APIs/microservices, and DevSecOps.
• Hands-on Jira and Confluence; ability to create dashboards and concise executive reports.
• Excellent stakeholder management, written and verbal communication; comfortable with onsite/offshore and multiple time zones.

Responsibilities

• Facilitate sprint ceremonies with clear objectives, assets, and acceptance criteria.
• Partner with Product Owner to maintain a healthy backlog covering ingestion, validation, transformation, and API flow.
• Build integrated sprint and release plans across AWS data engineering, API engineering, and DevSecOps.
• Identify and remove delivery impediments; escalate blockers with actionable dates.
• Monitor sprint predictability, throughput, and release readiness; translate metrics into corrective actions.

Skills

Scrum Master

Agile delivery

AWS data engineering

Cross-team coordination

Jira/Confluence

Tools

Jira

Confluence

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization. We are currently seeking a Technical Scrum Master to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

1 | Position Overview

The Technical Scrum Master will lead agile delivery for the AWS Policy Master engineering pod and serve as the execution bridge among product owners, business and policy SMEs, solution architecture, data engineering, API, database, DevSecOps, and quality teams. The role combines strong Scrum facilitation with sufficient AWS and data-engineering fluency to manage technical dependencies, remove impediments, maintain delivery transparency, and drive predictable releases across the S3-Lambda-SQS-Aurora-API flow. The individual will not act as the solution architect, but must be comfortable challenging plans, surfacing delivery risk, and translating technical progress into business-ready status.

2 | Required Skills and Experience

• 8-10 years of overall technology delivery experience, including at least 4 years as a Scrum Master or agile delivery lead for data, cloud, integration, or application-modernization teams.
• Strong working knowledge of Scrum and Kanban practices, sprint planning, backlog refinement, daily stand-ups, reviews, retrospectives, release planning, velocity, capacity, and dependency management.
• Experience coordinating multidisciplinary engineering teams spanning cloud data pipelines, APIs or microservices, database engineering, DevSecOps, automation testing, and production support.
• Practical understanding of AWS delivery concepts—S3, Lambda, SQS, EventBridge, Aurora PostgreSQL, API Gateway, IAM, CloudWatch, CI/CD, and infrastructure as code—to facilitate informed technical planning and risk discussions.
• Demonstrated ability to manage cross-team dependencies, RAID items, critical paths, nonfunctional requirements, environment readiness, testing gates, and release or cutover activities.
• Hands-on experience with Jira and Confluence or equivalent agile lifecycle tools; ability to create actionable dashboards and concise executive status reports.
• Strong facilitation, conflict-resolution, stakeholder-management, written communication, and coaching skills; comfortable working across onsite and offshore teams and multiple time zones.
• Experience in insurance, policy administration, operational data stores, data mastering, or regulated financial-services programs is strongly preferred.
• Scrum certification such as CSM, PSM, SAFe Scrum Master, or PMI-ACP is preferred; AWS Cloud Practitioner or similar foundational cloud certification is an advantage.

3 | Duties

• Facilitate sprint ceremonies and ensure each sprint has clear objectives, prioritized stories, acceptance criteria, dependencies, estimates, and accountable owners.
• Partner with the Product Owner and technical leads to maintain a healthy backlog covering ingestion, validation, buffering, transformation, canonical policy data, Aurora persistence, APIs, observability, security, and reliability.
• Build and maintain integrated sprint and release plans across AWS data engineering, Aurora data modeling, API engineering, DevSecOps, testing, business SMEs, and dependent source or consumer teams.
• Identify, track, and remove delivery impediments; elevate architecture, access, environment, data, security, vendor, or dependency blockers with clear impact and resolution dates.
• Monitor sprint predictability, throughput, carryover, defect trends, test progress, technical debt, and release readiness; convert metrics into practical corrective actions rather than administrative reporting.
• Coordinate technical design reviews, story readiness, definition-of-done adherence, nonfunctional requirement coverage, test evidence, production-readiness reviews, and go/no-go checkpoints.
• Facilitate decision-making and conflict resolution while preserving clear accountability among the Product Owner, architects, engineering leads, and business stakeholders.
• Drive continuous improvement through retrospectives, root-cause follow-up, dependency reduction, automation opportunities, and consistent agile engineering practices.
• Provide concise weekly status covering accomplishments, upcoming milestones, risks, decisions, dependencies, staffing, and any impact to scope, schedule, quality, or cost.
• Support cutover, hypercare, incident triage, and post-release reviews to ensure operational learning is incorporated into subsequent sprints.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.