Javier Gallegos

Baxter needed a unified, audit-ready view of worldwide deals and service cases. The challenge was managing dozens of regional systems, eight time zones, and the strict Sarbanes-Oxley Act (SOX) change control. To address this, I wrote a single business requirements document (BRD) and statement of work (SOW), aligning all stakeholders on scope and objectives.

I spun up four scrum teams and implemented weekly risk triage meetings that cleared blockers within 24 hours. A concise, five-slide SteerCo deck facilitated C-suite decision-making, achieving approval in under 72 hours. Additionally, we leveraged Bitbucket CI/CD, which caught 98% of defects before user acceptance testing (UAT).

We successfully moved three million records with zero data loss and went live without requiring a rollback. Within two weeks, sales and service leaders reported full data visibility on the same day, streamlining operations and improving decision-making.

Status was scattered across separate team boards, leaving executives blind to train-level risks. To address this, I scripted Jira automation rules that moved tickets across swim lanes and updated sprint and program increment (PI) fields automatically, eliminating the need for manual clicks.

I then built a program-level dashboard that displayed cumulative flow, risk burn-up, and capacity, refreshing every 60 seconds via the REST API. This allowed real-time insights into the health of the release train. I linked the dashboard to Confluence to ensure team alignment, providing managers and squads with a unified source of truth for PI objectives and OKRs.

As a result, developers no longer spent Fridays updating spreadsheets, and leadership was able to identify scope creep two sprints earlier than before, reducing last-minute blockers by 20%.

Walmart eCommerce's app was receiving poor reviews and slow repeat visits. To address this, I interviewed shoppers, analyzed competitors, and identified the top fixes: one-tap reorder, real-time stock updates, digital wallet, faster checkout, and push alerts.

As product owner and scrum master, I organized two squads, boosting velocity by 25%. I also ran quick A/B tests to validate each change before implementation.

The results were significant post-launch. Users returned 18% more often, checkout time decreased by 22%, and executives could easily track the improvements on a simple Data Studio dashboard I created.