Candidate Presentation · Sedgwick

Linda
Cabinda

Scrum Master · AI Delivery

Technical Scrum Master and Agile delivery leader known for bringing control and structure to complex, high-demand environments with significant unplanned work. I know how to protect sprint commitments, improve backlog readiness, and restore predictable delivery even where unplanned work and dependencies threaten execution.

10+
Years Leading Enterprise Delivery
Insurance · Banking · Healthcare · ERP
40+
Enterprise IT Teams Stabilized
During global SAP S/4HANA transformation
90%
Average Team SAY/DO Ratio
Up from ~50% before delivery stabilization
~$1M
Annualized Capacity Recovered
Through sprint discipline and backlog hygiene
SAFe SASM PSM JIRA Align SAP S/4HANA
02 — Motivation

Why
Sedgwick

Sedgwick’s Scrum Master role is an opportunity to return to the work I do best: partnering closely with teams to improve execution, developing people through Agile coaching, removing systemic impediments, increasing stakeholder visibility, and keeping backlogs prioritized and ready for delivery.

“I don’t just keep delivery moving. I build the execution habits, clarity, and accountability that help teams perform more reliably under pressure.”
ROLE FIT
01
High Pressure Environment Experience
Experienced in high-SLA, escalation-driven environments similar to claims operations (e.g., SAP S/4HANA transformation and enterprise payments). I structure and absorb urgent demand via a dedicated Kanban lane, isolating unplanned work so sprint commitments and delivery predictability remain intact.
02
AI-Driven Delivery
I specialize in enabling AI-driven delivery using JIRA automation and Atlassian AI to accelerate Epic/Feature/Story creation, improving readiness, reducing refinement cycle time, and increasing delivery throughput.
03
Leading Through Connection
What makes this opportunity compelling is the chance to once again work close enough to teams to build the relationships that make real coaching, accountability, and execution improvement possible.
04
Metrics-Driven Delivery Visibility
I use velocity, throughput, cycle time, and unplanned work trends to surface delivery risks early and give leadership clear visibility into execution health without adding reporting overhead.
03 — Career Arc

10+ Years of Regulated Enterprise Delivery

MAY 2023 – PRESENT
Mosaic Company · Riverview, FL
IT Program Manager – Agile Delivery
Stepped into a fragmented delivery environment and enforced structured execution, backlog discipline, and dependency visibility across 40+ teams to restore predictable delivery under high operational pressure.
SAFeJIRA AlignSAP S/4HANAPI PlanningFlow Metrics
SEP 2021 – JUN 2023
JPMorgan Chase · Tampa, FL
Scrum Master – Payments Division
Led delivery for payment platform teams in a tightly governed environment, protecting release commitments and managing delivery under regulatory deadlines and production-critical pressure.
Regulatory ComplianceCI/CDSprint GovernanceJenkins
MAR 2019 – AUG 2021
SunTrust · Philadelphia, PA
Scrum Master – Mortgage Technology
Supported mortgage technology delivery across loan origination and processing teams, coordinating multi-vendor integrations while improving release efficiency, reducing defects, and enabling workflow automation that delivered ~$150K in annual operational savings.
Fintech IntegrationCross-vendor DeliveryDefect Reduction
MAY 2016 – MAR 2019
Aetna · McLean, VA
Scrum Master – Healthcare Technology
Helped stabilize delivery across 3 Scrum teams in an 8-team ART by introducing stronger engineering quality practices, reducing rework by 30%, and improving team predictability from 60% to 85% SAY/DO in a regulated healthcare environment.
SAFeHealthcare ComplianceRework Reduction
04 — Proof of Impact

Selected Case Studies

01
Mosaic · 2023–2025
Stabilizing Sprint Delivery Across 40+ Teams
Inherited a fragmented Agile landscape with inconsistent standards, chronic mid-sprint churn, and no shared execution model. Reworked team structures and delivery practices to restore sprint discipline and expose systemic inefficiencies before they became delivery risks.
60%
Increase in ART delivery predictability
30%
Reduction in average cycle time
40%
Throughput increase across ARTs
02
JPMorgan Chase · 2022
Delivering Compliance Under Zero-Tolerance Conditions
Supported regulatory-driven delivery in a high-accountability environment where sprint discipline, dependency coordination, and controlled change management were critical to avoiding operational and compliance risk.
0
Compliance breaches or missed client/regulatory deadlines
100%
On-time delivery within governed release calendar
10%
Capacity allocated for tech debt and system health
03
Mosaic · SAP FICO · 2021–2023
Recovering ~$1M in Delivery Capacity Through Velocity Stabilization
Inherited three underperforming enterprise teams with chronic carryover, weak backlog readiness, and dependency blind spots. Tightened team structure, execution discipline, and backlog hygiene to restore predictability and recover significant delivery capacity across the program.
>90%
Finance SAY/DO after stabilization
100%
HR SAY/DO sustained for 2 years
~$1M
Annualized delivery capacity recaptured
05 — Execution Roadmap

30 · 60 · 90 Day Plan

Days 01–30
Listen & Map
Stakeholder ImmersionShadow delivery leads, engineering managers, and business partners. Understand the division's current delivery rhythm, pain points, and top priorities.
Team Health AssessmentAudit team ceremonies, backlogs, dependency & risk handling, and JIRA workflows. Identify where execution friction exists — not to fix immediately, but to understand the root causes.
Tooling & Process AuditReview JIRA/ServiceNow configuration, sprint metrics, and existing reporting infrastructure. Document what's working and what needs improvement.
Unplanned Work KanbanStand up a separate Kanban lane for unplanned work so that escalations, urgent client asks, and operational interrupts are visible, measured, and isolated from committed sprint work.
Days 31–60
Stabilize & Align
AI-Enabled Backlog AccelerationLeverage JIRA automation and Atlassian AI to accelerate Epic, Feature, and Story creation, improving backlog readiness, reducing refinement time, and increasing delivery throughput.
Metrics BaselineEstablish baselines for cycle time, throughput, carryover, churn, delivery predictability, and unplanned work; create a shared dashboard that gives both teams and leadership real-time execution visibility.
Backlog Readiness & Dependency HygieneWork with Product Owners and engineering leads to improve backlog quality, surface blocked work, and reduce sprint-to-sprint execution friction caused by unresolved dependencies.
Quick WinsIdentify 2–3 high-visibility delivery improvements that build team trust and demonstrate immediate ROI — without disrupting velocity.
Days 61–90
Accelerate & Scale
Quarterly Backlog Refinement ReadinessStrengthen quarterly planning by ensuring priorities are estimated, capacity assumptions are grounded in real team data, and dependencies are visible early enough to prevent execution drag.
Quarterly Capacity Planning ModelEstablish a quarterly capacity planning model that accounts for interruption patterns, realistic execution variability, and unplanned work trends — improving forecast accuracy without overcommitting the team.
Leadership Impediment InsightsHighlight retrospective feedback that points to systemic impediment insights leadership can act on — framed around operational impact, not just sprint statistics.
Agile Maturity RoadmapDeliver a formal assessment and phased maturity roadmap tailored to the team environment — with measurable milestones and practical improvement priorities.
06 — Closing

Ready to Deliver
for Sedgwick

I bring structure, discipline, and execution control to environments where complexity and operational pressure make delivery difficult. Sedgwick’s AI-driven claims delivery, where execution directly impacts client outcomes, is exactly the type of high-stakes environment in which I’ve consistently delivered results.

Location Tampa, FL · Remote
LINDA
CABINDA
2026
01 / 06
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