DRH

TECHNOLOGY · DELIVERY · INTELLIGENCE

DARREN R.
HUDSON

I MAKE COMPLEX
TECHNOLOGY WORK.

Software implementation, technical project leadership, integrations, SQL, data, and AI-enabled solutions.

EXPLORE MY WORK PLAY MY RESUME
BUSINESS
PEOPLE
API
DATA
AI
SYSTEMS
DRH
20+ YEARS IN TECHNOLOGY
6 CONCURRENT PROJECTS
10–20+ STAKEHOLDERS
∞ PROBLEMS SOLVED

01 / CAPABILITIES

COMPLEXITY IS MY COMFORT ZONE.

01

SOFTWARE IMPLEMENTATION

Requirements → Configuration → Integration → Testing → Deployment

02

PROJECT DELIVERY

Scope → Dependencies → Stakeholders → Execution → Results

03

APIs & INTEGRATION

Systems → Data → Payments → Third-party services

04

SQL & DATA

Queries → Mapping → Validation → Analysis

05

BUSINESS ANALYSIS

Business problem → Technical requirements → Executable solution

06

AI-ENABLED DELIVERY

AI-assisted analysis → Development → Documentation → Workflow optimization

02 / SELECTED WORK

COMPLEXITY,
DELIVERED.

A multi-system manufacturing implementation in San Luis Potosí, Mexico — spanning ERP, automotive JIS/JIT workflows, enterprise integrations, custom quality software, shop-floor visualization, onsite testing, training and phased production rollout.

PROJECT MINGHUA DE MÉXICO
ROLE PROJECT MANAGER / DELIVERY LEAD
DELIVERY 2018 — 2019
DOCUMENTED SCOPE $500K+
01

THE CHALLENGE

I DIDN'T INHERIT A CLEAN PROJECT.

I took over the implementation in February 2018 after the project was already underway. Requirements were still evolving, major deliverables needed clearer definition and multiple technical workstreams were competing for attention under significant schedule pressure.

My responsibility was to bring structure to the ambiguity: establish requirements, formalize change, coordinate technical teams and give stakeholders a clear path from business need to executable delivery.

02

MY ROLE

PROJECT MANAGER.
BUSINESS ANALYST.
DELIVERY LEAD.

Beginning with my first onsite engagement in March 2018, I worked directly with Minghua leadership, production teams, consultants, solution architects and developers throughout the implementation.

I personally authored and managed formal change orders, facilitated requirements gathering, created workflows and functional documentation, coordinated development progress, organized technical meetings, documented decisions and reported directly to customer stakeholders.

PROJECT MANAGEMENT BUSINESS ANALYSIS REQUIREMENTS CHANGE CONTROL FUNCTIONAL SPECIFICATION DEVELOPER COORDINATION STAKEHOLDER MANAGEMENT ONSITE DELIVERY
03

THE ENVIRONMENT

MULTINATIONAL.
MULTI-SYSTEM.
HIGH STAKES.

The implementation connected a newly developing Mexican manufacturing operation with technology, processes and stakeholders spanning Mexico and China while satisfying demanding automotive customer requirements.

The delivery environment included Minghua operations, DISC and IQMS personnel, U9 representatives, consultants, developers, production teams, quality personnel and BMW-driven manufacturing requirements.

MINGHUA
DISC / IQMS
U9
PRODUCTION
QUALITY
BMW REQUIREMENTS
04

THE TECHNICAL WORK

TURNING AMBIGUITY
INTO SPECIFICATION.

Much of the technical work began as a business expectation rather than a build-ready requirement. I helped transform those expectations into documented workflows, functional requirements, development scope and stakeholder-approved change.

The implementation landscape included Web API methods, SQL Server and Oracle queries, automotive DELJIT / DELJIS / ASN processes, XML-based electronic invoicing and multiple interfaces between IQMS EnterpriseIQ and U9.

For the U9 workstream, I coordinated scope definition with consultants, architects and stakeholders as the project expanded into nine separate ERP interfaces delivered in phases.

IMPLEMENTATION LANDSCAPE

MULTIPLE SYSTEMS.
ONE PRODUCTION ENVIRONMENT.

A conceptual view of the major workstreams involved in the implementation.

CUSTOMER REQUIREMENTS BMW
↓
AUTOMOTIVE MESSAGING DELJIT / DELJIS / ASN
↓
MANUFACTURING ERP IQMS / ENTERPRISEIQ
↔
ENTERPRISE ERP U9 9 INTERFACES · PHASED DELIVERY
→
CUSTOM QUALITY SOFTWARE QDA DEFECT LOCATION · TRACEABILITY
→
SHOP-FLOOR INTELLIGENCE VISUALIZATION 26 OPERATIONAL DISPLAY PAGES
DELIVERY LAYER WHERE I OPERATED
01 REQUIREMENTS
02 CHANGE CONTROL
03 STAKEHOLDER ALIGNMENT
04 DEVELOPER COORDINATION
05 TESTING
06 GO-LIVE

FEATURE SPOTLIGHT / QDA

MAKING QUALITY
VISIBLE.

The Quality Defect Application gave production personnel a graphical way to identify where a defect occurred on a manufactured component and record the appropriate defect classification.

Operators could identify the affected area directly on an image of the part, select the defect category and drive the corresponding quality disposition and traceability workflow.

01 PART PRODUCED
→
02 DEFECT IDENTIFIED
→
03 LOCATION SELECTED
→
04 CATEGORY ASSIGNED
→
05 DISPOSITION + TRACEABILITY
05

CONTROLLED CHANGE

THE REQUIREMENTS
KEPT MOVING.

As manufacturing requirements evolved, the QDA application expanded beyond its original scope. New requirements included traceable labeling, automatic printing in Injection and Paint, support for defects spanning multiple areas of a component and flexible printer routing.

I authored and coordinated the formal change-order process used to define the new work, establish development effort, communicate project impact and move approved requirements into implementation.

06

SHOP-FLOOR VISIBILITY

DATA WHERE THE
WORK HAPPENS.

A separate Visualization workstream brought graphical operational information directly onto flat-panel displays throughout the manufacturing floor.

The solution included 26 display pages designed around production and quality information such as scrap-versus-good ratios, machine status, downtime and quality alerts.

07

DELIVERY

FROM DOCUMENTATION
TO THE FACTORY FLOOR.

Delivery required far more than documentation and status meetings. I spent significant time onsite working directly with developers, consultants, managers and frontline manufacturing personnel.

I participated in testing against live production conditions, supported training and user adoption and was physically onsite when the QDA solution moved into production while manufactured parts were actively flowing through the operation.

Other components, including the U9 integration, were introduced through subsequent phases rather than through a single all-at-once cutover.

OUTCOME

PHASED
PRODUCTION ROLLOUT.

What began as an implementation with significant ambiguity became a structured, multi-workstream delivery spanning manufacturing ERP, enterprise integration, automotive messaging, custom quality software, shop-floor visibility, training and operational adoption.

$500K+ DOCUMENTED PROJECT SCOPE
9 U9 ERP INTERFACES
26 VISUALIZATION PAGES
LIVE PRODUCTION DELIVERY

CASE STUDY 02 / DELIVERY AT SCALE

DELIVERY
AT SCALE.

Leading multiple concurrent SaaS implementations across customers, markets, technical teams and third-party systems — while maintaining control of scope, dependencies, risk, communication and delivery.

CONCURRENCY 10+

CONCURRENT PROJECTS AT PEAK

STAKEHOLDERS 30+

CROSS-FUNCTIONAL PARTICIPANTS

DELIVERY MODEL REMOTE

DISTRIBUTED TECHNICAL TEAMS

ENVIRONMENT GLOBAL

MULTI-MARKET IMPLEMENTATIONS

01

THE OPERATING MODEL

ONE PROJECT IS DELIVERY.
A PORTFOLIO IS A SYSTEM.

In my current implementation role, I routinely manage multiple customer implementations in parallel and have carried portfolios reaching 10 or more concurrent projects, each with its own requirements, integrations, dependencies, risks and stakeholder groups.

The challenge is not simply keeping projects moving. It is maintaining enough structure across the portfolio to identify risk early, translate business needs into technical work and keep dozens of customer, operational and technical stakeholders aligned.

DELIVERY NETWORK

MULTIPLE CUSTOMERS.
MULTIPLE WORKSTREAMS.

PROJECT 01 PAYMENTS INTEGRATION
PAYMENTS
API
PAYOUTS
PROJECT 02 DIGITAL COMMERCE
WEB
CONFIGURATION
LOGISTICS
PROJECT 03 DATA MIGRATION
MIGRATION
VALIDATION
SQL
PROJECT 04–06 PARALLEL DELIVERY
REQUIREMENTS
TESTING
GO LIVE
02

TECHNICAL BREADTH

BUSINESS REQUIREMENTS
DON'T ARRIVE AS CODE.

My role sits between customer objectives and technical execution. I translate business requirements into actionable workstreams and coordinate the teams responsible for building, integrating, migrating and validating the solution.

01 API INTEGRATIONS
02 PAYMENT SYSTEMS
03 LOGISTICS
04 DATA MIGRATION
05 SQL / DATA VALIDATION
06 WEB IMPLEMENTATION
03

DATA MIGRATION

MOVE THE BUSINESS.
NOT JUST THE DATA.

Many implementations begin with an existing platform. Customer records, orders, payment information, credentials and other operational data must be extracted, mapped, transformed, validated and imported into the new environment.

I work directly with data and development teams to clarify requirements, validate mappings, identify discrepancies and ensure the migrated information supports the customer's actual operating model.

THE CONTROL LAYER

KEEPING COMPLEXITY
UNDER CONTROL.

01 PLANS

Milestones, dependencies and sequencing.

02 REQUIREMENTS

Business needs translated into technical work.

03 RISKS

Issues surfaced before they become delivery failures.

04 STAKEHOLDERS

Customer, product, technical and operational alignment.

05 VALIDATION

Testing, data review and implementation readiness.

06 DELIVERY

Execution through launch and stabilization.

THE PATTERN

COMPLEXITY ISN'T
THE EXCEPTION.

The value I bring is not tied to one technology or one implementation. It is the ability to repeatedly turn complicated business and technical environments into organized, executable delivery.

REQUIREMENTS → COORDINATION → INTEGRATION → VALIDATION → DELIVERY

TECHNICAL WORK / UNDER THE HOOD

I DON'T JUST MANAGE
THE WORK.

I UNDERSTAND WHAT'S
MOVING UNDERNEATH IT.

My role has consistently required enough technical depth to work directly with developers, integration teams and data specialists — translating business requirements into executable technical work and validating that the result actually solves the problem.

01

APIs & INTEGRATIONS

SYSTEMS HAVE TO
TALK TO EACH OTHER.

I regularly work across third-party integrations, API-driven workflows and multi-system implementations, helping define what information needs to move, when it moves and what successful communication looks like.

REST / WEB API REQUESTS RESPONSES PAYLOADS MAPPING VALIDATION
02

SQL & DATA

THE ANSWER IS OFTEN
IN THE DATA.

I've worked with SQL-driven systems throughout my implementation career, including query modification, data validation, migration analysis and troubleshooting where understanding the underlying records is essential to solving the business problem.

SQL SQL SERVER ORACLE DATA MAPPING MIGRATION VALIDATION
03

TECHNICAL TRANSLATION

BUSINESS NEED
→ BUILDABLE WORK.

I operate between business stakeholders and technical teams — clarifying requirements, documenting expected behavior, identifying dependencies and helping ensure developers receive enough precision to build the right solution.

REQUIREMENTS WORKFLOWS FUNCTIONAL SPECS TESTING UAT DELIVERY

HOW I WORK

01 BUSINESS NEED
→
02 REQUIREMENTS
→
03 API / DATA LOGIC
→
04 VALIDATION
→
05 WORKING SOLUTION

03 / EXPERIENCE

20+ YEARS.
ONE THROUGH-LINE.

My career has evolved across support, implementation, consulting, enterprise delivery, SaaS and now AI-enabled workflows — but the common thread has remained the same: making complex technology useful to real people and businesses.

01
EARLY CAREER 2005 / IBM FOUNDATION

IT, SYSTEMS &
TECHNICAL OPERATIONS

Built a broad technical foundation working with business systems, users, infrastructure and operational technology — learning how organizations actually depend on technology day to day.

02
CAREER EVOLUTION IMPLEMENTATION

FROM TECHNOLOGY
TO DELIVERY.

Moved deeper into customer-facing implementation, business analysis and project leadership — translating operational requirements into systems, processes and technical work that teams could execute.

03
2018 — 2019 MINGHUA DE MÉXICO

ENTERPRISE DELIVERY
GOT REAL.

Led a complex manufacturing implementation spanning ERP, integrations, custom software, production systems, change control, onsite testing and phased go-live.

VIEW CASE STUDY →
04
CURRENT ERA SAAS DELIVERY

DELIVERY
AT SCALE.

Expanded into high-volume SaaS implementation leadership, managing concurrent customer projects across APIs, payments, logistics, data migrations, websites and distributed technical teams.

VIEW CASE STUDY →
05
NOW AI-ENABLED DELIVERY

EXPERIENCE,
AMPLIFIED.

Modern AI tools now augment how I analyze requirements, investigate technical problems, document solutions, accelerate development workflows and communicate complex information.

EXPLORE AI →

04 / THE NEXT INTERFACE

AI DOESN'T REPLACE
EXPERIENCE.

IT AMPLIFIES IT.

After more than two decades working across technology, implementation, systems, data and delivery, AI has become another layer in how I solve problems — not a substitute for judgment, but a force multiplier for it.

AI-ENABLED DELIVERY

EXPERIENCE IN.
BETTER OUTPUT OUT.

I use modern AI tools throughout the delivery lifecycle to accelerate analysis, improve documentation, investigate technical problems and move from ambiguity to action faster.

01 REQUIREMENTS Clarify intent and identify gaps.
→
02 ANALYSIS Explore scenarios, dependencies and risk.
→
03 TECHNICAL WORK Support SQL, APIs, troubleshooting and development.
→
04 DOCUMENTATION Produce clearer specifications and communication.
→
05 DELIVERY Move faster without losing human judgment.
01

REQUIREMENTS
ANALYSIS

Turning meeting notes, business conversations and incomplete requests into structured requirements, open questions, dependencies and executable next steps.

02

TECHNICAL
INVESTIGATION

Using AI alongside existing technical knowledge to reason through APIs, SQL, payloads, data behavior, system interactions and implementation problems.

03

DOCUMENTING
AT SPEED

Accelerating specifications, meeting summaries, technical tickets, process documentation and stakeholder communication without sacrificing context.

04

BUILDING
WITH AI

Applying AI directly to practical work — from technical exploration and coding assistance to prototyping new workflows and digital experiences.

CURRENT TOOLKIT

AI IS ALREADY
PART OF THE WORKFLOW.

01 CHATGPT

Analysis, research, problem solving and delivery support.

02 CLAUDE

Technical analysis, documentation and complex reasoning.

03 CLAUDE CODE

AI-assisted development and technical workflow execution.

04 AI-ASSISTED DELIVERY

Embedding AI into real implementation and project workflows.

THE ADVANTAGE

20+ YEARS OF CONTEXT.
A MUCH FASTER INTERFACE.

AI is most powerful when the person using it already understands the business problem, the technical environment and the consequences of getting the answer wrong. That is where experience compounds.

05 / GAME TIME

THERE'S ONE
MORE THING.

TIRED OF READING?

Welcome to The Implementation Quest — a very small, slightly ridiculous playable version of what I do for a living.

THE IMPLEMENTATION QUEST LEVEL 01 / DELIVERY
OBJECTIVES 0 / 3
DRH
01 REQUIREMENTS
02 INTEGRATION
03 GO-LIVE
SCOPE CREEP
BLOCKER
DELIVERY ENVIRONMENT
MISSION TURN AMBIGUITY
INTO DELIVERY.

Collect all three objectives.

MOVE ← → / A D
JUMP SPACE
OBJECTIVE COLLECT ALL 3