AI Agile Delivery Lead (Senior TPM + Scrum Master)

Location: Manyata Tech Park Bangalore
Company: Black Box

Black Box is a global leader in digital infrastructure solutions delivering network and system integration managed services and technology products to enterprises worldwide. As part of our strategic transformation Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.

The AI CoE focuses on building scalable secure and production-ready AI systems establishing best practices for enterprise AI adoption and integrating AI capabilities into core business platforms.

As anAgile Delivery Lead (Senior TPM Scrum Master hybrid) in the AI Center of Excellence (CoE) you will run thedelivery operating system for multiple AI squads ensuring predictable execution strong Agile discipline and high accountability across cross-functional stakeholders.

This role is accountable for end-to-end Agile execution usingAzure DevOps (Boards) including sprint ceremonies backlog and sprint hygiene capacity planning and bottleneck visibility dependency and risk management (RAID) and driving closure of action items across engineering platform teams (ServiceNow SAP Salesforce M365/SharePoint) cybersecurity and leadership stakeholders.

• Run sprint planning daily standups sprint demos and retrospectives for multiple squads.
• EnforceAzure DevOps Boards hygiene: quality work items estimates dependencies sprint updates WIP discipline and clear sprint scope boundaries.
• Provide clearcapacity and bottleneck visibility: are squads loaded blocked or underutilized
• Maintain a single source of truthRAID action tracker with weekly closure and transparent ownership across teams and leadership.
• Produceweekly exec-ready status reporting (progress risks dependencies decisions required next milestones).

• Own Agile delivery cadence across squads: sprint planning daily standups backlog refinement (with PM/PO) sprint demos and retrospectives.
• Enforce disciplined sprint execution: clear sprint goals WIP limits acceptance criteria and Definition of Done.
• Ensure work items are sprint-ready with estimates dependency links scope clarity and test/release criteria.
• Improve delivery predictability through metrics and continuous improvement (spillover reduction blocker aging cycle time improvement).

• Maintain cleanBacklogs / Boards / Sprints in Azure DevOps: work item quality state transitions iteration paths area paths tagging conventions and parent/child linking.
• Ensure dependency tracking is explicit usingwork item links queries and dependency views.
• Establish and enforce consistent standards: work item templates Definition of Ready/Done gates and sprint reporting cadence.

• Own execution across multiple AI initiatives: milestones dependencies integration readiness and release planning.
• Drive coordination across enterprise stakeholders: ServiceNow SAP Salesforce M365/SharePoint Security DevOps/Infra and business owners.
• Lead risk and dependency management (RAID) and proactively escalate decision blockers with crisp options and recommendations.
• Coordinate go-live readiness: environment availability access readiness security approvals QA/UAT readiness and change management steps.

• Build and maintain dashboards/queries inAzure DevOps for transparency: velocity burn-down/burn-up blocker aging dependency burn-down and sprint health.
• Publish weekly status updates and leadership-ready summaries (milestones achieved next priorities risks and asks).
• Ensure decision logs and meeting outcomes are captured with owners and due dates; follow through to closure.

• Own release checklists and execution readiness: testing plans approvals operational readiness and rollback considerations.
• Coordinate post-release stabilization and lessons learned; convert findings into actionable process improvements.

• 7 years experience inTechnical Program Management / Delivery Management including Scrum Master responsibilities.
• Strong practical expertise inAgile/Scrum delivery for software teams with cross-team dependencies.
• Deep hands-on experience withAzure DevOps (Boards)backlogs sprints queries dashboards reporting and hygiene enforcement.
• Proven ability to driveaccountability and action closure across engineering platform teams and leadership.
• Strong communication facilitation and conflict-resolution skills; comfortable operating in ambiguity and shifting priorities.

• Experience delivering AI/ML or LLM-enabled products (RAG copilots workflow automation enterprise assistants).
• Experience with enterprise platforms such as ServiceNow SAP Salesforce M365/SharePoint and Azure services.
• Familiarity with security/compliance workflows (RBAC private endpoints managed identities approvals).
• Certifications:CSM/PSM SAFe PMP (any are a plus).

Black Box is a leading technology solutions provider focused on accelerating customer success through innovation ownership transparency and collaboration. With over 2500 team members across 24 countries Black Box delivers high-value solutions globally by designing integrating and managing complex technology environments for enterprises.

Black Box is an equal opportunity employer and does not discriminate based on race color gender age disability veteran status or any other protected status.