Jaison Dsouzaships systems.
Turning ambiguous scope / into measurable product outcomes
PMP-certified delivery lead with 7+ years steering software, SaaS, health-tech, and data-driven products across engineering, product, QA, analytics, and operations teams.
lifted
defects
blockers
per cycle
A project manager who thinks in dependencies.
I lead delivery where the path isn't drawn yet. The work starts as a tangle of competing priorities, half-formed requirements, and teams spread across five time zones — and my job is to give it structure, sequence, and a date you can trust.
Over seven years I've built technical project plans, roadmaps, work breakdown structures, risk registers, and release-readiness gates for SaaS, health-tech, and data products. I translate ambiguous scope into acceptance criteria and sprint commitments, then hold the line through delivery.
The result is the same wherever I land: more predictable releases, fewer defects, faster MVPs, and stakeholders who always know where things stand.
At a glance
Ambiguity in. Predictability out.
A simple operating model I bring to every team, whatever the stack or the stage.
Make the plan legible
Break scope into a work breakdown structure, map the dependencies, and commit to a date the team can defend — not a hopeful one.
Surface risk early
A living risk register and release-readiness gates mean trouble shows up in a standup, not on launch day.
Communicate to the audience
Engineers get detail; executives get decisions and trade-offs. Everyone always knows where things stand.
Close the loop
Retrospectives and postmortems turn into systemic fixes, so the same defect or delay doesn't return next cycle.
The toolkit behind a clean delivery.
Each of these is a lever I pull to take a release from ambiguous to predictable.
Technical project plans & roadmaps
Plans, milestones, and release schedules teams can actually run against.
Agile / Scrum / Kanban
Sprint planning, ceremonies, and flow tuned to how the team really works.
JIRA administration & automation
Workflows and automation rules that erase hours of manual sprint admin.
WBS & resource planning
Breaking scope into work, then matching it to the people and time available.
Risk, dependency & issue management
Risk registers and dependency trackers that surface trouble before it lands.
Release readiness & QA oversight
Go/no-go gates and UAT that keep defects out of production.
Forecasting & estimation
Commitments backed by data — 95%+ forecast accuracy over 24 months.
Executive communication
Status, risks, and mitigation framed for the people who fund the work.
Retrospectives & process optimization
Turning postmortems and findings into systemic fixes that stick.
Where the work landed.
Project / Product Manager
- Led end-to-end delivery of scalable SaaS platforms across 3 concurrent engineering workstreams — project plans, sprint roadmaps, milestones, dependency trackers, and release schedules.
- Built JIRA workflows and automation that erased ~6 hrs/week of manual sprint admin and lifted team throughput by 30%.
- Owned a 150+ story backlog, translating ambiguous requirements into WBS, acceptance criteria, and sprint commitments at 95%+ forecast accuracy over 24 months.
- Drove alignment across product, engineering, QA, and ops in 5 time zones — cutting release blockers 40% and accelerating MVP delivery by 3 weeks per cycle.
- Established release-readiness gates, risk registers, and retrospectives that reduced post-deployment defects by 35%.
Project Manager
- Managed storefront analytics and software delivery across product, engineering, marketing, and ops — using behavioral data to reprioritize the Q3 roadmap within 6 weeks.
- Tracked schedules, launch dependencies, UAT plans, and go/no-go criteria across 3 regional storefronts.
- Led 12 incident postmortems; converted findings into systemic fixes that cut downtime from 4.2 to 3.1 hrs/month.
- Delivered stakeholder status on release progress and risk, protecting $200K+ in digital ad spend from wasted targeting.
Senior Product Support Manager
- Managed 50+ enterprise healthcare escalations per quarter, improving resolution SLA from 72+ to under 48 hrs.
- Built a 200-article knowledge base and 3-tier escalation framework — onboarding down 40%, repeat escalations down 22%.
- Partnered with product and engineering to ship 9 bug fixes and 4 enhancements informed by support patterns and UAT.
Product Support Manager
- Supported 100+ tickets/week at 94% CSAT, triaging production issues and keeping customers and stakeholders informed.
- Partnered on 3 major launches; pre-release UAT feedback prevented 7 P1 defects from reaching production.
The artifacts behind the outcomes.
Representative examples of how I structure delivery — the planning, the flow, and the risk discipline.
| Risk | Severity | Mitigation |
|---|---|---|
| Vendor API rate limits | High | Cache + backoff; fallback path |
| UAT slips past freeze | Med | Daily go/no-go; buffer sprint |
| Cross-team dependency | Med | Shared tracker; weekly sync |
| Data migration gaps | Low | Dry-run + reconciliation |
// Illustrative samples to show method — not actual client data.
Certified, educated, equipped.
Industry certifications verified on Credly, plus the academic foundation and the toolkit I work in.
Education
Tools & methods
Let's build something predictable.
Open to engineering project and product management roles. Send a note below, or reach me directly.