Make products decision-ready.

Product Manager for high-stakes systems.

Aung Shwe Oo
Aung Shwe Oo Product Manager

Ex-Capgemini | DBS | Azqore | Aviva

Certified: Product Management • PSPO I • PSM I • ICAgile Agile Coaching

I combine product leadership with deep UX thinking to turn fragmented systems into clear direction, aligned execution, and reliable delivery.

CRM / KYC APIs
  • Azqore private banking
  • 100% milestone delivery
  • 25–30% less downstream rework
DBS AML Systems
  • Actimize name-screening tuning
  • Risk & compliance delivery exposure
  • Stabilized delivery under constraints
Design Systems
  • Azqore enterprise banking platforms
  • 0-to-1 governance and design-to-code workflow
  • 30–40% design efficiency gain
AML / KYC / Sanctions platforms Regulated banking + insurance UX-led product decisions Agile delivery in constrained environments AI + automation systems
Aung Shwe Oo

Aung Shwe Oo

Product Manager

  • 10+ years delivering and modernizing complex products
  • Industries: Banking · Insurance · Enterprise Platforms
  • Certified in product management and agile delivery

About

About Icon

I’m a Product Manager with design depth, using UX as a strategic lever to drive clarity and product outcomes in complex, regulated environments.

What I do

  • Turn ambiguity into decision-ready product direction
  • Make complex platforms usable through experience-led decision making
  • Drive cross-team execution and reliable delivery under constraints

Capabilities

Product Leadership Capabilities

Experience-led product leadership for complex platforms, especially in regulated environments.

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Strategy

Decision-ready product direction

I turn ambiguity into clear product choices that teams can ship.

  • Frame the problem, goals, users, and success metrics
  • Map constraints and risks (tech, ops, compliance, timelines)
  • Shape roadmap options, trade-offs, and priority calls
  • Align decision owners early to reduce churn and rework

Artifacts: Decision logs, roadmap options, metrics

Product Discovery Metrics Roadmaps Risk/Trade-offs
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Execution

Reliable delivery under constraints

I help teams ship in regulated environments with complex dependencies.

  • Run discovery-to-delivery cadence and keep momentum
  • Unblock dependencies across teams, vendors, and systems
  • Make scope, risk, and compliance visible and manageable
  • Use AI-assisted product ops when it speeds real work

Artifacts: Release plans, dependency maps, risk register

Agile Delivery Dependencies Risk/Compliance AI ops
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Collaboration

Alignment that drives decisions and results

I build shared context across functions so teams move faster.

  • Clarify decision rights: who decides what, and by when
  • Facilitate alignment workshops that compress weeks into hours
  • Translate between design, engineering, compliance, and business
  • Keep communication crisp with artifacts people actually use

Artifacts: Workshop outputs, RACI, alignment notes, 1-pagers

Stakeholders Workshops Decision rights Enablement/GTM

Tools

How I Work

A practical approach to building clarity, alignment, and momentum in complex products, with experience quality treated as a first-class constraint.

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Problem Framing

I clarify intent, constraints, and user-facing risks before committing teams.

Ambiguity is reduced early so teams align around real problems, not assumptions.

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Continuous Discovery & Validation

I validate assumptions early through user research, data, and lightweight experiments.

Decisions are grounded in real user behavior, reducing delivery risk and costly rework.

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Prioritization & Roadmap Planning

I turn competing demands into clear priorities and sequenced plans.

Roadmaps balance business goals, delivery constraints, and experience quality.

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Agile Delivery & Execution

I drive consistent delivery under real-world constraints without compromising usability or trust.

Teams ship incrementally with fast feedback, staying aligned and delivering outcomes predictably.

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Adoption & Growth

I enable adoption by making products understandable, usable, and easy to integrate into real workflows.

Rollouts are designed for behavior change, ensuring products land, get used, and deliver value.

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Measurement & Iteration

I measure outcomes through usage patterns, qualitative feedback, and system signals.

Learning loops use feedback, analytics, and ai/automation to inform better decisions, continuous refinement, and long-term product confidence.

Featured Projects

Selected Project Case Studies & Outcomes

A few projects that show my work in regulated platforms + enterprise delivery.

Lead Management System thumbnail

Lead Management System — Field Sales Transformation

Insurance · 2016–17

MOBILE JTBD ADOPTION
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CRM↔KYC — API Product Delivery & Agile Stabilization

Private Banking · 2019–20

API KYC LEGACY
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Name Screening Engine Tuning

AML / Banking · 2023

AML INTEGRATIONS AGILE
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Portfolio Management System — Design System Rollout

Private Banking · 2021

DESIGN SYSTEM UX B2E

Experience Timeline

My Career Story at a Glance

Over the past decade, I moved from hands-on delivery to leading complex, regulated product systems.
I turn ambiguity into clear scope, prioritized roadmaps, and reliable launches, using AI-assisted workflows and disciplined product ops.

Platform / Systems Adoption / Operations
2025–present Product Leadership (Current Focus) Driving strategy, prioritization, and adoption with AI-assisted workflows and disciplined product ops.
2025–present Continuous Discovery Product Ops (AI + Automation)

Product Leadership in Continuous Discovery & Delivery

Customer discovery to roadmap and launch execution, accelerated by AI-enabled product ops.

  • Discovery → strategy: framing problems, defining outcomes, and aligning stakeholders on what “good” looks like.
  • Delivery → adoption: roadmap, dependency sequencing, and launch readiness to drive real usage.
  • AI-enabled product ops: building automations (n8n) and experimenting with agentic patterns (Dify) for faster, repeatable workflows.
  • Guardrails and human-in-the-loop: controls, escalation paths, safe adoption.
2023–2024 AML / compliance Algorithmic tuning

Algorithmic risk: Name Screening (AML)

Probabilistic tuning, alert-quality trade-offs, and reliable delivery under regulatory constraints.

  • Improved predictability and reduced rework while maintaining compliance sensitivity.
  • Managed alert-quality trade-offs (false positives vs risk coverage) with reproducible test runs and clear decision criteria.
  • Made hidden work visible (production support, incidents, competing priorities).
  • Restored team flow through clearer backlog hygiene and estimation discipline.
2023–2024 Risk, Precision & Trust Operating mature product delivery under regulatory and incident-driven constraints.
2020–2021 Platform Thinking & Governance Reusable components, governance, and scale-ready foundations across squads.
2020–2021 Design system Governance

Platform: Portfolio Management System and component governance

From “UI refresh” to a governed component baseline teams could ship.

  • Re-scoped work from “screens” to end-to-end workflows with consistent IA.
  • Defined reusable component patterns and usage rules for implementation.
  • Improved design efficiency through repeatable patterns and reduced UI drift.
2019–2020 API products Delivery stability

Complex systems: CRM / KYC API delivery

Data contracts, dependency sequencing, and delivery cadence across legacy and modern layers.

  • Reframed a messy program into contract-based slices with clear acceptance.
  • Aligned teams across different stacks and experience levels to deliver predictably.
  • Reduced churn and rework by sequencing dependencies layer-by-layer.
2019–2020 Systems Delivery & Cadence Contract slicing, cross-team alignment, and predictable delivery under complexity.
2016–2017 Field Enablement & Adoption Designed around real daily behavior to drive usage and operational visibility.
2016–2017 Mobile workflow JTBD + day-in-life

Field Enablement: Lead Management System (Mobile)

Adoption-first product design for on-the-ground insurance agents.

  • Designed the core loop: lead → call → appointment → update status.
  • Prioritized usability and speed to support daily agent usage in the field.
  • Unlocked same-day sales visibility for supervisors through timely updates.
2011–2015 Enterprise delivery Stakeholder alignment

Foundations: Enterprise delivery and structured requirements

Web portals and internal platforms where clarity and process mattered.

  • Translated ambiguous requests into structured scope and deliverable milestones.
  • Designed information architecture that made complex content usable and maintainable.
  • Built trust with non-technical stakeholders through clear trade-offs and predictable delivery.
2011–2015 Enterprise Delivery & Alignment Execution discipline, stakeholder trust, and the habit of turning ambiguity into scope.
2002–2011 Foundations: Craft & Ownership Built hands-on delivery instincts and end-to-end accountability before formal product titles.
2002–2011 Baseline Client delivery Scope ↔ feasibility

Foundations: Craft, Clients, and Ownership

Early work built the instincts that still shape my product judgment today.

  • Owned small projects end-to-end (brief → build → handover), often with limited playbooks.
  • Learned stakeholder communication, scope control, and delivery quality through real client constraints.
  • Built comfort with ambiguity and a bias to ship.

Resume

Resume icon

A concise overview of my product experience and roles.

Get in Touch

Aung Shwe Oo portrait

What can I help you with?

Product roles, collaboration, or a quick conversation.

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or email [email protected]