I lead the strategy — and architect the systems that deliver it.

Director of Enterprise Applications & Digital Transformation at OPSWAT. I set the AI and platform strategy for a global cybersecurity company, architect the systems myself, and lead the teams that ship them. Lead architect on the platforms below — and the leader of the org that runs them.

Enterprise ProductsAI PlatformsRevenue IntelligenceSaaS RationalizationData Products
$0per year saved on SaaS cost
0+production products designed & shipped
0person team built from zero
0+data sources — lakehouse architecture & data strategy I own
0+years building enterprise technology
0%+CX case deflection from AI self-service
01 · About

A leader who is still the lead architect.

My career started in financial-services technology — trading platforms, accounting systems, SWIFT infrastructure, Salesforce — at Schroders and FPT Software. Over fifteen years I moved from supporting systems, to designing them, to building internal products that reshape how people work.

Internal software should be as thoughtfully designed as customer-facing products.

That idea drives my work at OPSWAT, where I own strategy and delivery of internal platforms across CRM, revenue operations, enterprise data, AI automation, and employee-facing products. The future of enterprise technology is not buying more SaaS — it's building intelligent products on top of trusted systems of record, where company-specific context becomes a competitive advantage. That belief shaped OSCAR, Qlari, Sugar Data Tool, and the Salesforce Metadata Archive.

I lead from the front. I set the strategy and own the outcome — and I'm the lead architect on the systems that deliver it, hands on the keyboard — then I build and grow the team around them. I take messy business problems and turn them into software that feels obvious in hindsight — the kind where users ask, "Can I just work from this instead?"

Quan Dang — Director of Enterprise Applications & Digital Transformation, OPSWAT
RoleDirector, Enterprise Applications & Digital Transformation · OPSWAT
Based inHo Chi Minh City, Vietnam · working with global teams
EducationTexas A&M University — Computer Engineering, with Mathematics
CertifiedAzure Solutions Architect · Salesforce Admin · SAFe Agilist · Tableau · CFA L1
02 · What I do

Five disciplines, one goal: business leverage.

Enterprise applications shouldn't be a cost center. Combined with data, AI, and product thinking, they become the fastest team in the company.

Enterprise AI Platforms

Agentic platforms that reason over enterprise knowledge, use tools, trigger workflows, and operate with governance — RAG, orchestration, MCP tools, LLM gateways, human-in-the-loop controls.

Internal Product Strategy

Moving organizations from internal tools to internal products — designed around adoption, workflow fit, business outcomes, and trust.

The goal is not more apps. The goal is products employees prefer.

Revenue & Business Intelligence

Systems that help Sales, RevOps, CX, Finance, and executives decide — forecasting, deal health, account research, pipeline visibility, AI-generated insight.

SaaS Rationalization

Build-first where company-specific context compounds; buy-on-purpose where scale, maturity, or compliance make SaaS the better choice.

Don't build because SaaS is expensive. Build where context compounds.

Enterprise Data & Integration

AI is only useful when the data foundation is trustworthy — warehouses and semantic models, APIs and sync, data quality, and AI-ready knowledge layers.

03 · How I lead

Lead from the front.

I own the outcome and the scope — and I stay close enough to the work to be the lead architect. The two aren't in tension; the depth is what makes the leadership credible.

01

Stay the lead architect

On the flagship systems I'm hands-on the architecture and the code. I don't ask the team to build what I wouldn't.

02

Build the operating model

Shifted enterprise applications from a cost center into an internal product org — built around adoption, SaaS rationalization, and AI-native workflows.

03

Grow leaders, not dependency

Built a 35-person organization from zero across platforms, data, AI, integrations, and QA — and developed the leaders who run it.

04

Decide build vs. buy

Build where company-specific context compounds; buy where scale, maturity, or compliance make SaaS the right call.

04 · Work

Platforms I architected, shipped, and lead.

Each is a system I designed and built — and the outcomes it drives for the business. Click any to explore the decisions, architecture, and impact.

I architect and build these systems myself — then lead the teams that scale them. Original architecture, from the data model to the org that runs it.
05 · Philosophy
01 / 05

Products over tools.

A tool completes a task. A product earns preference.

02 / 05

AI should eliminate work.

AI that creates another workflow is theater. Good AI reduces steps, decisions, and cognitive load.

03 / 05

Build strategic, buy commodity.

Don't build because SaaS is expensive. Build where company-specific context compounds.

04 / 05

Trust is the product.

For enterprise AI and business systems, trust is not a feature. It is the foundation.

05 / 05

Internal users deserve craftsmanship.

Employees should not have to tolerate bad software just because it is internal.

06 · Experience

Fifteen years of enterprise systems, shipped.

Jan 2025 — Present · OPSWAT

Director, Enterprise Applications & Digital Transformation

Own strategy and delivery of internal products and enterprise applications across revenue operations, customer experience, employee services, enterprise data, and AI automation for a global cybersecurity company.

  • Created OSCAR, OPSWAT's agentic AI platform, and Qlari, saving ~$280K/yr by replacing Clari and Revic.
  • Led the Salesforce → SugarCRM transformation across Sales, Marketing, CX, CPQ, NetSuite, and HubSpot.
  • Partnered on a Microsoft Fabric data foundation for reporting, semantic models, and AI retrieval.
  • Built and scaled cross-functional teams across platforms, data, AI, integrations, and QA.
Oct 2023 — Dec 2024 · OPSWAT

Senior CX Operations Manager

Led CX operations systems, Salesforce platform stabilization, AI chatbot development, and support experience modernization.

  • Shipped an AI support chatbot with 50%+ case deflection; expansion replaced Drift for ~$40K/yr saved.
  • Cut Salesforce platform issues by 70%+ year over year while ending consultant dependency ($50K+/yr).
  • Built a high-performing team of 7 from scratch within one year; delivered 20+ executive dashboards.
  • Tripled CSAT response rate (5% → 15%) and scaled global support telephony from 8 to 20 numbers.
2011 — 2022 · Schroders Investment Management

Trading Technology → CRM & Digital → Global Technology Operations

Eleven years across front-office trading platforms, APAC Salesforce, automation, and global technology operations for a leading asset manager.

  • Key contributor to a Blue Prism RPA program deploying 150+ processes globally (~15 FTE of capacity).
  • Ops analytics that cut resolution time 25% YoY and SLA breaches from 6% to 4%; Azure migration of 20+ apps.
  • APAC Salesforce lead — CRM effectiveness program introducing 100+ custom objects and AML compliance flows.
  • SimCorp Dimension SME — trading, accounting, SWIFT, and annual platform upgrades (v4.8 → 5.8).
2010 — 2011 · FPT Software

Software Developer

Enterprise workflow, integration, Android, .NET, and data-warehouse solutions for financial-services clients — including K2 workflow platforms extending SimCorp Dimension and SSIS data pipelines.

Education

Texas A&M UniversityB.S. Computer Engineering (primary) · Mathematics (secondary) · 2005 — 2009

Certifications

Microsoft Azure Solutions Architect Salesforce Administrator SAFe Agilist Tableau Desktop Specialist CFA Level 1
07 · Writing & speaking

Ideas I share.

Topics I speak and write about — the throughline is enterprise technology as a product and a strategic asset, not a cost center. Available for talks, podcasts, and guest writing.

Keynote · Essay

Why enterprise AI needs product thinking, not just models

Most enterprise AI stalls on adoption, not capability. What changes when you treat AI as a product with users, trust, and outcomes.

Talk · POV

Build vs. buy in the age of AI

When company-specific context makes building beat best-in-class SaaS — and when buying is the disciplined call.

Workshop

Agentic AI platforms inside the enterprise

Governance, tools, and trust — what it actually takes to run agents against real business systems.

Essay

Turning SaaS sprawl into intelligent workflows

Rationalizing a fragmented SaaS estate into a few internal products employees prefer to use.

Talk

Revenue intelligence beyond generic SaaS

What a tailored, AI-native revenue platform does that off-the-shelf forecasting tools can't.

Leadership

Scaling a product-minded enterprise applications team

The operating model and leaders that turn internal IT into the fastest team in the company.

Want me to speak at your event or write for your audience? Start a conversation

Let's build products people prefer.

Enterprise AI, internal product strategy, build-vs-buy, revenue intelligence — or a messy business problem that deserves better software. I'm always up for a good conversation.

[email protected]