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Managing Digitization Program with 4 Agile Squads, challenges and resolution

  • Writer: Anand Nerurkar
    Anand Nerurkar
  • Jun 27
  • 12 min read

Q: You are managing 4 Agile squads. How did you spend your time across those? What was your contribution? How did you manage delivery across squads? What challenges did you face and how did you resolve them?


S – Situation:

In my previous role as a Senior Application Development Manager, I was leading 4 Agile squads (~40 engineers) as part of a large-scale cloud transformation and modernization program for a BFSI client. Each squad owned a different domain:

  • Squad 1: Core platform & services

  • Squad 2: Cloud migration

  • Squad 3: DevSecOps and automation

  • Squad 4: Integration and external APIs

These teams were distributed across time zones (India, UK, and US), and we had a 12-month roadmap with tight regulatory and operational milestones.

T – Task:

My role was to:

  • Drive end-to-end delivery across all 4 squads.

  • Ensure alignment with the program roadmap.

  • Support technical decision-making, manage risks, and ensure delivery velocity and quality across the board.

  • Engage with cross-functional stakeholders – product owners, architects, security, infra, and business teams.

A – Action:

🔹 1. Time Allocation & Focus Areas:

I structured my time as follows:

  • 30%: Squad-level interactions – Attend standups selectively (rotational basis), sprint reviews, and key backlog refinement sessions. Focused on blockers, velocity issues, and inter-squad dependencies.

  • 30%: Stakeholder alignment – Weekly syncs with product managers, enterprise architects, and security/compliance to align backlog with evolving business and risk priorities.

  • 20%: Coaching leads – 1-on-1s with Tech Leads and Scrum Masters to ensure leadership maturity, team health, and support escalations.

  • 20%: Strategic delivery management – Tracking progress (Jira dashboards), forecasting delivery outcomes, managing budgets, and reporting to the Steering Committee.

🔹 2. Contribution Across Squads:

  • Defined clear OKRs for each squad aligned to program milestones.

  • Standardized Agile practices using a common definition of done, story point estimation model, and DevSecOps checklist.

  • Set up cross-squad sync meetings and integration demos to ensure collaboration and reduce siloed delivery.

  • Drove adoption of CI/CD pipelines and automated quality gates across all squads.

🔹 3. Tools & Practices:

  • Used Jira Advanced Roadmaps to track interdependencies and forecast delivery velocity.

  • Used Confluence to document squad-level tech decisions, reusable components, and compliance standards.

  • Held weekly delivery reviews and tracked delivery metrics (velocity, defects, story spillovers).

R – Result:

  • Successfully delivered all quarterly milestones on time and within budget.

  • Achieved 32% improvement in cross-squad collaboration velocity through better integration planning.

  • Reduced production incidents by 45% by enforcing DevSecOps across squads.

  • Improved stakeholder satisfaction score by 25% due to transparent forecasting and proactive risk handling.


Challenges & How I Resolved Them:

🔸 Challenge 1: Misalignment between squads on integration timelines

Solution: Introduced a shared system demo at the end of each PI and a rolling 2-sprint integration calendar to resolve dependencies earlier.

🔸 Challenge 2: Varying Agile maturity across squads

Solution: Mentored SMs and TLs on agile metrics, introduced a Squad Maturity Model, and rotated experienced leads to less mature squads.

🔸 Challenge 3: Resource contention and burnout in 2 squads

Solution: Worked with PMO and HR to stagger workloads, adjusted sprint capacity planning, and hired two senior engineers to balance throughput.


Summary:

I ensured delivery across 4 Agile squads by balancing strategic leadership with tactical execution—mentoring leads, driving standardization, improving visibility through tools, and resolving dependencies proactively. The result was a predictable, secure, and high-performing program delivery.



Refined STAR Response – Managing 4 Agile Squads (Hybrid Leadership Model)

S – Situation:

As a Senior Application Development Manager, I was leading 4 Agile squads (~25-30members) for a cloud-based modernization program for a BFSI client. Each squad owned a functional area:

  • Track 1 (Core Lending Platform) – High-risk, business-critical

  • Tracks 2–4 – Cloud enablement, DevSecOps, external integrations

Due to its complexity and visibility, I took direct ownership of Track 1, while assigning Tech Leads and Scrum Masters to guide the other squads under my oversight.

T – Task:

I was responsible for:

  • Directly managing Track 1 from requirement gathering to production go-live.

  • Driving overall delivery governance, cross-track alignment, and stakeholder collaboration across all 4 squads.

  • Ensuring consistent velocity, cross-squad coordination, and alignment to business timelines.

A – Action:

🔹 1. Direct Hands-on Leadership – Track 1

  • Participated in requirement workshops with product owners, security, and compliance teams.

  • Led solution design reviews, contributed to technical decisions, and reviewed critical code merges.

  • Facilitated all daily Agile ceremonies – standups, planning, reviews, and retros – acting as a Delivery Manager + Agile Coach.

  • Owned CI/CD pipeline setup, performance tuning, and production release readiness.

🔹 2. Delegated Leadership – Tracks 2–4

  • Assigned experienced Tech Leads and Scrum Masters to run squads independently.

  • Held weekly 1-on-1s with each lead to track sprint goals, blockers, and team health.

  • Defined a common delivery framework – including backlog hygiene, DoD, security gates, and integration reviews.

🔹 3. Cross-Squad Governance and Collaboration

  • Organized weekly cross-squad syncs to track interdependencies and shared components.

  • Drove PI Planning and Sprint Integration Reviews.

  • Used Jira Advanced Roadmaps and Confluence to manage delivery visibility, decision logs, and architecture discussions.

🔹 4. Stakeholder Collaboration

  • Regularly engaged with Product, Security, Infra, Finance, and Business SMEs to ensure alignment.

  • Presented delivery forecasts, risks, and mitigation updates in weekly Steering Committee meetings.

  • Coordinated with enterprise architecture and compliance teams to track policy adherence and regulatory timelines.

R – Result:

  • Track 1 was delivered 2 weeks ahead of schedule, with zero major defects and seamless production cutover.

  • Cross-track velocity improved by 28% through structured sync-up and shared technical tooling.

  • Stakeholder satisfaction increased by 30%, driven by transparency, proactive risk handling, and consistent delivery.

  • Mentored 3 tech leads, two of whom moved into Engineering Manager roles in the next 6 months.

Summary:

I used a hybrid leadership approach — going deep in one critical track where I led requirements, design, agile events, and production delivery myself, while empowering leads to run other squads with my strategic oversight. This allowed me to ensure quality, velocity, and alignment at both tactical and program levels, while building leadership depth within the team.

===========================

I was managing 4 Agile squads as part of a large-scale cloud modernization program in the BFSI domain.


One of the squads, Track 1, was the most business-critical — focused on the core lending platform. I took full ownership of this track, leading it hands-on from requirement gathering, design discussions, development, CI/CD, testing, all the way through to production deployment. I directly facilitated all Agile ceremonies — daily standups, sprint planning, reviews, and retrospectives — and actively contributed to solution architecture and release planning.


For the remaining 3 squads—focused on Cloud Infra, DevSecOps, and Integrations—I delegated day-to-day leadership to Tech Leads and Scrum Masters but stayed deeply involved through:

  • Weekly leadership syncs to track progress, unblock teams, and align priorities,

  • A standardized delivery framework across all squads (shared DoD, sprint metrics, and tooling),

  • And cross-squad coordination sessions to handle integration points and shared backlog items.


I also maintained regular collaboration with cross-functional stakeholders — including Product, Architecture, Infrastructure, Security, Finance, and Compliance teams. At the program level, I owned forecasting, delivery tracking, and presented updates to the Steering Committee weekly.


This hybrid model helped me go deep where it mattered most, while enabling scale and consistency across all squads. We delivered Track 1 two weeks ahead of plan with zero production defects, improved overall squad velocity by 28%, and ensured strong stakeholder alignment throughout.


🖼️ Visual Slide – "Managing 4 Agile Squads: Hybrid Leadership Model"

Track

Focus Area

Ownership

Responsibilities

Track 1

Core Lending Platform

Direct / Hands-on

- Requirements, Design, Architecture


- Agile ceremonies (daily)


- Code reviews, DevOps


- Production release

Track 2

Cloud Infra

Delegated (Tech Lead)

Oversight, Risk review, Sprint syncs

Track 3

DevSecOps Enablement

Delegated (Tech Lead)

Governance, Shared pipelines, DoD

Track 4

API Integrations

Delegated (Tech Lead)

Dependency mgmt, Integration reviews

🔁 Common Across All Tracks:

  • Weekly cross-squad syncs

  • Unified Jira/Confluence governance

  • Forecasting, delivery reporting

  • Steering Committee communication

  • Stakeholder engagement (Product, Infra, Security, Compliance)


pls cover raid logs for all above 4 squads, its mitigation plan with owensrship

=====






Structured Overview: Metrics Tracked Across 4 Agile Squads

🎯 Objective:

To monitor performance, delivery predictability, team health, and alignment with business outcomes, I implemented a consistent metrics-driven governance model across all 4 Agile squads in the program.


📊 1. Delivery Metrics

These help track how reliably and predictably the teams are delivering against committed scope.

Metric

Description

Frequency

Tools

Sprint Commitment vs Completion Ratio

Measures planned vs. delivered story points

Bi-weekly

Jira

Feature/Story Throughput

# of features or stories delivered per sprint

Sprint

Jira

Release Burn-up/Burn-down

Tracks remaining effort vs. scope creep

Ongoing

Jira Roadmaps, Excel

Cycle Time / Lead Time

Time from story creation to closure

Sprint

Jira

🧪 2. Quality Metrics

Ensures that fast delivery does not come at the cost of quality.

Metric

Description

Frequency

Tools

Defect Leakage Rate

# of defects escaping to UAT/Production

Sprint / Release

Jira / Bugzilla

Code Coverage %

Unit test coverage threshold (target: 80%)

CI/CD

SonarQube

Defect Density

Defects per KLOC (thousand lines of code)

Sprint

SonarQube

Severity 1 & 2 Incidents

Production-impacting bugs

Monthly

ServiceNow / Jira

⚙️ 3. Velocity & Agile Health Metrics

Helps measure consistency and maturity in Agile execution.

Metric

Description

Frequency

Tools

Velocity Trend

Average points delivered per sprint over time

Sprint

Jira

Story Spillover Rate

% of stories carried over to next sprint

Sprint

Jira

Agile Maturity Score

Self-assessment across DoD, ceremonies, velocity, WIP

Quarterly

Internal framework

WIP (Work in Progress) Ratio

Ensures focus and flow

Weekly

Jira

🧑‍🤝‍🧑 4. People Metrics (Team Health)

To assess burnout, attrition risk, and collaboration levels.

Metric

Description

Frequency

Tools

Team Utilization %

Actual vs. available capacity per sprint

Bi-weekly

Timesheet tools, Excel

Team Health Score / Feedback

Pulse surveys on engagement, clarity, collaboration

Quarterly

Microsoft Forms, Google Surveys

Attrition Rate

Turnover during the program

Monthly

HRMS

1:1 Cadence / Escalations

Escalation logs or concerns raised/resolved

Ongoing

Manual logs

🔐 5. Risk, Security & Compliance Metrics

Especially important for regulated sectors like BFSI.

Metric

Description

Frequency

Tools

Security Policy Violations

# of pipeline failures or blocked releases

Weekly

DevSecOps pipeline

PII/PCI Audit Compliance

Adherence to GDPR, data handling policies

Monthly

Internal audit tracker

Vulnerability Remediation SLA

Closure of critical CVEs within SLA

Monthly

Nessus, Snyk

RAID Item Tracking

Active vs. mitigated risks/issues across squads

Weekly

Excel / RAID tracker dashboard

🌐 6. Cross-Squad / Integration Metrics

Track collaboration, dependency resolution, and delivery consistency.

Metric

Description

Frequency

Tools

Cross-Squad Dependency Closure Rate

% of cross-team dependencies resolved on time

Sprint

Jira / Confluence

Integration Test Pass Rate

End-to-end integration coverage between squads

Sprint / Release

Jenkins / Postman

System Demo Completion Rate

Planned vs actual demos conducted across squads

PI/Sprint

Manual tracking

Shared Component Reuse

Tracking % of components reused across teams

Monthly

Architecture review logs

How I Used These Metrics:

Activity

Purpose

Output

Weekly Program Dashboard Review

Identify delivery drift and risk

Triggered re-estimation, reallocation

Squad-level Retrospectives

Improve velocity and reduce spillovers

Actions on WIP limits, estimation skills

Steering Committee Updates

Update leadership on trends

Flagged and escalated RAID items

Team Health Monitoring

Prevent burnout and improve morale

Enabled rebalancing, hiring

🧩 Tools Used Across Metrics Tracking

  • Jira + Advanced Roadmaps – Velocity, backlog, dependencies, spillovers

  • Confluence – Documentation, decision logs, RAID tracking

  • SonarQube / Fortify / Snyk – Code quality & security

  • Power BI / Excel Dashboards – Program-level visualization

  • ServiceNow / Bugzilla – Incident & defect tracking

  • Timesheets / HRMS – Capacity & attrition analytics

======================================================


Team Size & Velocity Estimation

Each squad:

  • 7–8 team members

  • Of which ~60–70% are likely engineers (devs/testers) actively contributing story points

  • Sprint Duration: 2 weeks

Let’s break it down:

Squad

Team Size

Active Contributors

Average Velocity (Story Points/Sprint)

Track 1: Core Lending

8

~6

45–50 story points

Track 2: Cloud Infra

7

~5

35–40 story points

Track 3: DevSecOps Enablement

8

~6

40–45 story points

Track 4: API Integrations

7

~5

35–38 story points

📌 Assumptions

  • Each contributor averages 6–8 story points per sprint

  • Some technical spikes and support activities are pointed conservatively

  • Velocity variation accounts for complexity and maturity of the squad

📈 Velocity Usage in Program Management

  • Used to forecast quarterly PI delivery scope

  • Measured trend over time (velocity growth = team maturity)

  • Used in sprint planning to avoid overcommitment

  • Squad comparison helped identify coaching or process needs



✅ Breakdown for Track 1 and Track 2

Track 1 – Core Lending Platform

  • Total Team Size: 8

  • Active Contributors (Story Points): 6 (Developers, Testers)

  • Non-Point-Contributing Roles (2):

    1. Scrum Master / Delivery Lead

      • Facilitated daily standups, retrospectives, planning sessions

      • Removed blockers, managed sprint discipline, ensured process adherence

      • Coordinated with Product Owner and cross-team dependencies

    2. Business Analyst / Product Owner Proxy

      • Refined backlog, wrote user stories and acceptance criteria

      • Acted as SME liaison for business validation and clarification

      • Participated in UAT planning and prioritization

Track 2 – Cloud Infra

  • Total Team Size: 7

  • Active Contributors (Story Points): 5 (Infra Engineers, DevOps Specialists)

  • Non-Point-Contributing Roles (2):

    1. Site Reliability Engineer (SRE)

      • Focused on infrastructure observability, alerts, and resiliency patterns

      • Managed service health indicators (SLIs, SLOs, SLAs)

      • Owned incident response runbooks and dashboards

    2. Cloud Architect / Platform Engineer

      • Designed IaC patterns, managed Terraform/ARM templates

      • Ensured adherence to cloud guardrails, scalability, and cost optimization

      • Supported compliance and security posture (e.g., Zero Trust enforcement)

📌 Why They Don't Contribute Story Points (Directly):

  • Their work is often operational, advisory, or governance-focused

  • Contributions are logged outside the sprint backlog (e.g., Confluence, CI/CD changes, governance wikis)

  • However, they enable velocity by ensuring smooth delivery, reducing rework, and managing risk

🔄 Indirect Contribution Example:

  • A Cloud Architect may not deliver a "user story" but may unblock 3 stories by setting up reusable Terraform modules or enabling security policies.

  • A Scrum Master may not code but ensures the team stays unblocked and focused, leading to a consistent 40+ velocity.


Track 3 – DevSecOps Enablement

  • Team Size: 8

  • Active Contributors (Story Points): 6

    • DevOps Engineers / Platform Engineers / Security Engineers

    • Delivered infrastructure as code, pipelines, automated security scans, policy-as-code, etc.

🧩 Non-Point-Contributing Roles (2):

  1. DevSecOps Architect / SME

    • Defined DevSecOps reference architecture and policy controls

    • Worked closely with security/compliance teams for CVE mitigation, firewall rules, secrets management

    • Enabled reusable pipeline templates and hardening guidelines

  2. Scrum Master / Delivery Coach

    • Coordinated dependencies across squads (e.g., enabling pipelines used by other tracks)

    • Ensured sprint planning included capacity for hardening, compliance gates

    • Tracked improvements in security posture and shift-left implementation

🔁 Impact Without Story Points:

They enabled governance, pipeline reliability, and security gates that protected all squads and ensured scalable, compliant delivery.

Track 4 – API Integrations

  • Team Size: 7

  • Active Contributors (Story Points): 5

    • API Developers / Backend Engineers / Test Engineers

    • Delivered REST APIs, integration logic, test cases, mocks, and contract validations

🧩 Non-Point-Contributing Roles (2):

  1. Integration Analyst / System Analyst

    • Owned mapping documents, API specifications, and WSDL/schema translation

    • Coordinated with external vendors for SLA, contract agreement, and data format negotiation

    • Managed sandbox test credentials, API versioning documentation

  2. Tech Lead / Architecture Reviewer

    • Performed code and contract reviews

    • Enforced REST best practices, security tokens, schema validation

    • Attended architecture review boards, defined reusability and discovery strategy (e.g., via API Gateway)

🔁 Impact Without Story Points:

Their contributions enabled faster onboarding, versioning, integration reuse, and compliance alignment across external systems and partner banks.

🧩 Summary Table – Non-Point-Contributing Roles (Tracks 3 & 4)

Track

Role

Contribution Type

Value Delivered

Track 3

DevSecOps Architect

Technical Governance

Hardened pipelines, CVE fixes, secrets mgmt

Track 3

Scrum Master

Delivery Enablement

Agile velocity, dependency management

Track 4

Integration Analyst

Functional SME

External partner coordination, schema translation

Track 4

Tech Lead

Architecture & Quality

Contract governance, security best practices


🧭 Team Persona Heatmap – Who Contributes What in Delivery

🟢 High Contribution to Delivery (Direct Story Points)

Role

Delivery Contribution

Developers

Coding, feature implementation, bug fixes, performance tuning

QA Engineers

Functional testing, test automation, regression, UAT support

DevSecOps Engineers

CI/CD, pipeline implementation, security policies, scans

🟡 Medium / Indirect Contribution (Support + Governance)

Role

Contribution

Tech Lead

Architecture design, code reviews, cross-squad reuse and standards

Integration Analyst

Partner coordination, API specs, schema design, SLA mgmt

Cloud Architect

IaC patterns, observability, compliance, scalability optimization

🔵 Enabling Roles (Non-point Contributors)

Role

Value Delivered

Product Owner / BA

Backlog grooming, requirements clarity, story refinement

Scrum Master

Delivery cadence, unblocking, Agile ceremonies

Security SME

Threat modeling, CVE remediation, zero-trust enforcement


Top 20 Risks Across 4 Agile Squads (Tracks 1–4) with Mitigation Plans

============================

#

Risk Description

Track(s) Affected

Risk Category

Mitigation Plan

Owner

1

Incomplete requirements at sprint start

Track 1

Delivery

Strengthen backlog grooming and stakeholder review process

Product Owner

2

Burnout due to aggressive timelines

Track 1, 2

People

Balance velocity with realistic capacity planning; enforce time-off tracking

EM / Scrum Master

3

Azure quota limits delaying provisioning

Track 2

Technology

Monitor usage weekly, pre-request quota increases

Cloud Lead

4

API contract misalignment between squads

Track 1, 4

Integration

Early contract finalization + interface testing in staging

Integration Lead

5

Security scan false positives delaying release

Track 3

Security

Establish fix-forward path + waiver process

DevSecOps Lead

6

Vendor delays in API specs

Track 4

External Dependency

Include vendors in sprint planning + define SLA in SOW

Delivery Manager

7

High number of defects in early UAT

Track 1

Quality

Introduce story-level testing criteria + early QA handoff

QA Lead

8

Budget overrun due to cloud waste

Track 2, 3

Financial

Implement auto-cleanup, tag non-prod, and enforce infra limits

FinOps / Cloud Architect

9

Lack of cross-skill causing single point of failure

All Tracks

People

Conduct skills matrix audit + implement shadowing

EM / Tech Leads

10

Compliance misalignment on logs and encryption

Track 3

Regulatory

Define security NFRs upfront; validate via pipeline checks

Security Architect

11

Velocity dips due to unplanned leaves

Track 1, 2

Capacity

Maintain buffer, rotate backups, visualize team calendar

Scrum Master

12

Integration testing delays due to data dependency

Track 4

Testing

Use synthetic data + environment refresh scripts

QA Lead

13

Misalignment on sprint goals between PO and dev

Track 1

Delivery

Conduct sprint pre-kickoff alignment + definition of done reviews

Scrum Master

14

Misconfigured deployment pipeline causes rollback

Track 2, 3

DevOps

Set up deployment validations and canary releases

DevOps Engineer

15

Attrition of key resource mid-PI

Track 2, 4

People

Maintain knowledge repository + pair programming

Engineering Manager

16

Poor engagement from InfoSec in early design

Track 3

Compliance

Involve InfoSec in sprint 0 and PI planning

Program Manager

17

Frequent rework due to late design changes

Track 1

Architecture

Finalize design by sprint -1 + implement impact matrix

Solution Architect

18

Jira hygiene issues affecting reporting

All Tracks

Delivery / Tooling

Set WIP limits, use dashboards, weekly triage

Scrum Master

19

Overlapping leave during release sprint

Track 1, 2

Planning

Enforce early leave planning + stagger leave approval

Delivery Lead

20

Poor RCA documentation after incidents

Track 4

Operations

Institutionalize RCA template + 1-pager summary deck

SRE / DevOps Lead

Let me know if you’d like to convert this into a RAID template, RACI overlay, or


 
 
 

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