Author: Mark Whitfield

Welcome to my site! After graduating in Computing in 1990, I accepted a position as a programmer at a Runcorn based software house specialising in electronic banking software, namely sp/ARCHITECT-BANK on Tandem Computers (now HPE NonStop). This was before the internet became more prevalent and so the notion of enabling desktop access to company accounts for inter-account transfers and book keeping was still quite a cutting edge idea (and smartphones only ever hinted at in Space 1999). The company was called The Software Partnership (which was taken over by Deluxe Data in 1994). I spent 5 years in Runcorn developing code for SP/ARCHITECT for various banks like TSB, Bank of Scotland, Rabobank and Girofon (Denmark) to name but a few. I then moved onto a software house in Salford Quays for further bank facing projects. After a further 23 years in the IT industry and now a Senior IT Project Manager (both Agile and Waterfall delivery), I thought I would echo out my Career Profile in this corner of the internet for quick and easy access.

POAP Plan On a Page Example Templates for Download

Available for download here.

Plan on a page POaP example 1
POaP example 1
Plan on a page POaP example 2
POaP example 2
Plan on a page POaP example 3
POaP example 3
Plan on a page POaP example 4
POaP example 4
Plan on a page POaP example 5
POaP example 5
Plan on a page POaP example 6
POaP example 6
Plan on a page POaP example 7
POaP example 7

Many more examples available in download pack.

A Plan on a Page (POaP) is a concise, high-level visual summary of a project used to communicate timelines, milestones, and strategic objectives to stakeholders and executives. It condenses detailed data into an easy-to-digest, single-page format.

Core Components of a POaP

An effective POaP cuts out the noise of day-to-day task lists and focuses purely on headline information. It typically includes:

  • Project Overview: Title, project manager, and the overarching business objective.
  • Timeline & Milestones: A horizontal, time-phased bar chart mapping the project’s key phases.
  • Key Deliverables: 4 to 6 major outputs or goals required for success.
  • Risks & Dependencies: Critical blockers that require executive attention.

Why and When to Use It

  • Steering Committees: Ideal for Steering Committee meetings (Steerco) where executives need to see progress at a glance.
  • Stakeholder Alignment: Keeps teams focused on strategic vision rather than getting “lost in the weeds” of daily operations.
  • Client Updates: Acts as an excellent executive summary for clients without overwhelming them with micro-details

POAP Plan On a Page Example Templates for Download

Daily Scrum format and step-by-step walkthrough

The Daily Scrum is a strictly time-boxed 15-minute daily planning event designed for the developers of a Scrum team to inspect progress toward the Sprint Goal and adapt their plan for the next 24 hours. It is not a management status report; it is a collaborative alignment ritual owned completely by the people doing the execution work.

Daily Scrum is a strictly time-boxed 15-minute daily planning event
Daily Scrum is a strictly time-boxed
15-minute daily planning event

Here is a step-by-step walkthrough of how to run an effective Daily Scrum, including modern formats and common pitfalls.

📋 The Event Overview

  • Time-box: Strictly 15 minutes max.
  • When & Where: Held at the exact same time and place every working day to minimize complexity.
  • Primary Audience: Developers. The Scrum Master and Product Owner can attend, but they only participate if they are actively working on Sprint Backlog items.

🚶‍♂️ Step-by-Step Walkthrough

1. Kickoff & Goal Review (Minutes 0 – 2)

  • Start on time: Never wait for latecomers; starting promptly builds professional respect and consistency.
  • Anchor to the Goal: The facilitator opens the session by clearly showing or reading aloud the Sprint Goal. Every update that follows must tie back to this shared objective.

2. Execution & Synchronization (Minutes 2 – 12)

The team syncs on current progress. Depending on your team’s preference, select one of these common execution formats:

Format A: “Walking the Board” (Highly Recommended)

Instead of focusing on individual people, focus on the work items themselves.

  • Start from the rightmost column of your Sprint Board (closest to “Done”) and work backward.
  • The team discusses the highest-priority item currently in progress.
  • The individuals contributing to it answer: What will it take to pull this specific card over the finish line today?
  • Repeat this for subsequent active tickets until you run out of items in progress.

Format B: The Classic Three Questions

Each developer takes turns speaking, keeping their personal update to under 60 seconds. They answer:

  • What did I do yesterday that helped the team meet the Sprint Goal?
  • What will I do today to help the team meet the Sprint Goal?
  • Do I see any impediments that prevent me or the team from meeting the Sprint Goal?

3. Parking Lot Identification & Wrap-up (Minutes 12 – 15)

  • Spotlight Impediments: If someone mentions a blocker, note it down on a visible impediment tracker. Do not try to solve the problem right now.
  • Form the After-Meeting: Identify which specific team members need to stay behind to solve the blocker.
  • Adjourn on time: Release everyone else exactly at or before the 15-minute mark to let them protect their deep-focus work time.

⚠️ Common Pitfalls to Avoid

  • Turning it into a status report: If developers look at the Scrum Master or Product Owner while talking, they are reporting status. Ensure team members look at each other or the sprint board.
  • Falling into deep problem-solving: The Daily Scrum is for identifying issues, not fixing them. Use the “ELMO” technique (Enough, Let’s Move On) if conversations drift into technical design.
  • Rambling or multi-tasking: Keep updates brief and focus exclusively on the current sprint. For remote teams, keeping video cameras turned on enhances presence and keeps attention sharp.

Daily Scrum format and step-by-step walkthrough

1. Agile Scrum Explained Simply - what it is and how it actually works
1. Agile Scrum Explained Simply –
what it is and how it actually works
2. Agile Scrum Explained Simply - what it is and how it actually works
2. Agile Scrum Explained Simply –
what it is and how it actually works

Mark Whitfield Project Management Professional Training Certificates

Mark Whitfield, Project Management Professional Training Certificates
Project Management Professional Training

December 2022 – C&CA UK’s Communications & Engagement Award Winner – Cloud & Custom Applications – Capgemini UK

Capgemini C&CA UK's Communications & Engagement Award Winner 2022 - Cloud & Custom Applications - Capgemini UK
December 2022 – Capgemini C&CA UK’s Communications & Engagement Award Winner

November 2017 – Advanced Engagement Management Course – Level 2 Exam

November 2017 – Capgemini Advanced Engagement Management Course – Level 2 Exam
November 2017 – Capgemini Advanced Engagement Management Course

May 2011 – Agile SCRUM Training Course

May 2011 – Agile SCRUM Training Course mark whitfield
May 2011 – Agile SCRUM Training Course

May 2011 – Registered PRINCE2 Practitioner with ILX

May 2011 – Registered PRINCE2 Practitioner with ILX
May 2011 – Registered PRINCE2 Practitioner with ILX

May 2000 – Microsoft Project: Orange Belt –
Managing a Single Project with Microsoft Office Project 98

May 2000 – Microsoft Project: Orange Belt – Managing a Single Project with Microsoft Office Project 98
May 2000 – Microsoft Project: Orange Belt

February 2000 – Fundamentals of Successful Project Management

February 2000 – Fundamentals of Successful Project Management
February 2000 – Fundamentals of Successful Project Management

October 1999 – Managing Multiple Projects, Objectives and Deadlines

October 1999 – Managing Multiple Projects, Objectives and Deadlines
October 1999 – Managing Multiple Projects, Objectives and Deadlines

June 1990 – Higher National Diploma in Computer Studies
(DISTINCTION – overall top) – BIHE

June 1990 – Higher National Diploma in Computer Studies (DISTINCTION – overall top) – BIHE
June 1990 – Higher National Diploma in Computer Studies, Distinction

Mark Whitfield Project Management Professional Training Certificates

The PRINCE2 7 AI Practice Guide recommends specific artificial intelligence categories

The PRINCE2 7 AI Practice Guide recommends specific artificial intelligence categories to streamline project delivery while strictly adhering to six core governance principles. In a PRINCE2 environment, AI acts strictly as an advisory tool, meaning that human accountability remains completely non-negotiable.

🛠️ Recommended AI Technologies for Delivery

PRINCE2 breaks down the most effective AI systems for project delivery into four core categories:

  • Decision Support Systems (DSS): Used to enhance scheduling, estimate task durations, and predict baseline deviations using historical data analytics.
  • Expert Systems: Configured using rule-based decision trees to automate routine governance workflows like initial change control and quality tolerance reviews.
  • Natural Language Processing (NLP): Leveraged to draft product descriptions, analyse text-heavy project logs, and evaluate extensive stakeholder documentation.
  • Chatbots & Virtual Assistants: Integrated to give team members and stakeholders real-time, automated project status updates at various stages.

📋 The 6 Foundational AI Principles in PRINCE2

When deploying these AI tools during the Managing Product Delivery stage, teams must follow the framework’s official compliance principles:

  1. Human Accountability: AI outputs must be handled strictly as advice, never final verdicts. Humans retain all formal decision-making authority.
  2. Absolute Transparency: Every AI recommendation must be recorded in an AI usage log. This includes the prompts, the output, and the human reviewer’s name.
  3. Strict Data Control: Project data must be stored in secure, compliance-cleared repositories. Personal identifiers must be stripped before processing.
  4. Value-Driven Use: Every AI activity must explicitly justify its inclusion by saving time, reducing costs, or directly protecting the business case.
  5. Proportionality: AI use must match the project’s scale. Use simpler text summaries for small projects, saving predictive ML models for complex ones.
  6. Continuous Learning: Post-stage reviews must evaluate AI performance alongside regular deliverables. Successful prompts and tool failures are logged for future stages.

💼 Professional Training & Official eLearning Options

If you are looking to master how the updated framework handles modern, technology-driven environments, several official certifications are available online:

  • PRINCE2 Agile Foundation Official eLearning: This course focuses heavily on balancing structured governance with highly flexible, modern delivery layers. You can purchase this complete digital package directly from Zindiak.
  • PRINCE2 Foundation & Practitioner Exam Plus Take2: A complete testing package featuring scenario-based testing, flexible scheduling, and a built-in safety net re-sit option. It can be booked online via PPM Careers.
  • PRINCE2 Programme Management Foundation & Practitioner: Best suited for leading large-scale transformational changes and complex multi-project portfolios. Live virtual classes and structured paths can be booked through prince2.com or ilxgroup.com.

The PRINCE2 7 AI Practice Guide recommends specific artificial intelligence categories

Agile Scrum and Artificial Intelligence AI Role for Delivery

AI enhances Agile Scrum by automating routine administrative tasks and providing predictive data analytics, allowing teams to deliver high-quality increments faster. It accelerates delivery across the entire lifecycle, from backlog grooming and sprint planning to continuous testing and retrospective analysis.

AI serves as a powerful facilitator in Agile environments, streamlining key processes across the framework:

1. Backlog Management & Planning

  • Story & Task Generation: AI models can ingest unstructured business requirements and automatically generate structured user stories and acceptance criteria.
  • Intelligent Forecasting: Platforms utilize historical velocity and predictive algorithms (like Monte Carlo simulations) to forecast delivery dates and run what-if capacity simulations.
  • Estimation: AI assists developers by breaking down large epics into smaller tasks and suggesting relative effort based on past projects.

2. Daily Execution & Development

  • Coding Assistants: AI tools generate boilerplate code, assist with refactoring, and automate unit test creation to speed up development cycles.
  • Automated QA: AI inspections and vulnerability scanning ensure continuous quality assurance, allowing for rapid defect detection.

3. Scrum Ceremonies

  • Meeting Automation: AI tools (like meeting transcribers) generate automated sprint reports, summarize stand-ups, and track action items, saving Scrum Masters valuable time.
  • Retrospective Insights: AI analyzes sentiment and historical cycle time trends to highlight blockers and suggest actionable continuous improvement points.

While AI accelerates output, Agile emphasizes human empiricism. AI acts as an advisor, augmenting human judgment in prioritization and anticipating value, while Product Owners and teams retain ownership of the strategic direction and final commitments.

Also…

Artificial Intelligence (AI) is transforming Agile Scrum from a reactive framework into a predictive powerhouse. Rather than replacing human roles, AI serves as an “advisor” or “delivery catalyst” that cuts through the operational noise, allowing Scrum teams to focus on strategy, coaching, and actual value delivery.

The primary use cases for AI across Agile Scrum delivery are structured below by core accountability and phase.

🚀 Backlog Refinement & Product Ownership

Product Owners are major beneficiaries of AI automation, using it to rapidly move from raw stakeholder feedback to concrete, structured deliverables.

  • Automated User Stories: Generates draft user stories based on product feature briefs, user interview summaries, or raw documentation.
  • Accepting Criteria Creation: Produces detailed, high-quality Given-When-Then criteria, ensuring edge cases are addressed before a sprint begins.
  • Story Splitting: Scans large backlog items (Epics) and suggests logical boundaries to break them down into smaller, sprint-ready tasks.
  • Sentiment Synthesis: Ingests massive pools of unstructured customer feedback, clustering themes automatically to guide roadmap prioritization.

📊 Smarter Sprint Planning & Estimation

Predictive analytics eliminates reliance on human guesswork during planning sessions.

  • Predictive Forecasting: Uses machine learning models (like Monte Carlo simulations) to analyze historical velocity. It provides probabilistic delivery windows instead of single-date projections.
  • Capacity Optimization: Evaluates developer skill sets and availability to recommend optimized task assignments. This maintains healthy Work In Progress (WIP) limits and prevents developer burnout.
  • Early Risk Detection: Flags hidden dependencies or incomplete definition-of-ready requirements before work enters the active sprint.

🛠️ Active Sprint Delivery & Flow Optimization

During the sprint, AI acts as an early warning system to keep development on schedule.

  • Predictive Burndown Charts: Recognizes code and ticket-tracking patterns mid-sprint to predict if a team will miss its commitment.
  • Bottleneck Identification: Automatically flags tickets that are stalled, constantly rolling over, or blocked by external dependencies.
  • Admin Automation: Automatically triages incoming support bugs, updates ticket statuses, issues reminders, and drafts documentation.

🔄 Team Reflection & Retrospectives

AI helps the Scrum Master enhance empirical learning during sprint ceremonies.

  • Meeting Synthesis: Transcribes and summarizes standups and reviews, extracting key action items without human data-entry overhead.
  • Sentiment Analysis: Evaluates team communication channels to detect hidden friction, collaboration blocks, or dipping morale.
  • Trend Tracking: Cross-references action items from past retrospectives against subsequent sprint data to prove if improvements actually succeeded.

🛠️ Industry AI Tools in Action

Many delivery platforms now native-embed AI to streamline Scrum processes:

Platform Tool – Core Agile Capability (below):

Atlassian Intelligence / Jira – Surfaces delivery risks, predicts timelines, and automates ticket creation.

ClickUp Brain – Generates user stories, summarizes meetings, and drafts retrospective action plans.

Miro Assist – Groups brainstorming sticky notes by topic and generates summaries or next steps.

Forecast AI – Facilitates long-term resource capacity planning and automated timeline estimation.

⚠️ The Critical Boundary: The Human Loop

According to modern frameworks by organizations like Scrum.org and the Project Management Institute (PMI), AI should never own accountability:

  1. AI is an advisor, not a decision-maker: Humans own commitments and strategic vision; AI merely presents options based on historical numbers.
  2. The “Vague In, Vague Out” rule: If a team writes weak user stories or provides poor prompt data, AI output will simply amplify those execution flaws.
  3. Hallucination risks: LLMs struggle with precise math and statistical calculations; all AI-generated velocity metrics must be manually verified.

Agile Scrum and Artificial Intelligence AI Usage for Delivery

Building a Microsoft Project MPP Plan in 5 Steps

The best approach to building a plan in Microsoft Project involves a structured, sequential workflow that configures global project settings first, inputs and links tasks dynamically, and finally layered resources and costs. Jumping straight into entering dates manually is the most common pitfall; instead, you should rely on the software’s automated scheduling engine to manage the timeline.

Microsoft Project MPP plan examples can be downloaded at banner link
Microsoft Project MPP plan examples
can be downloaded at banner link

Follow these sequential steps to build a bulletproof, dynamically adjusting schedule in Microsoft Project:

Step 1: Initialize Global Project Options

Before typing a single task name, configure the framework of the file so the software automates the hard math for you.

  • Set the Start Date: Navigate to Project > Project Information, and input your official project start date so all calculations anchor correctly.
  • Enforce Auto-Scheduling: Change the default task mode from “Manually Scheduled” to “Auto Scheduled” in the bottom-left status bar (or via File > Options > Schedule). This enables the scheduling engine to automatically adjust timelines based on dependencies.
  • Display the Project Summary Task: Go to the Format (or Gantt Chart Format) tab and check the Project Summary Task box. This creates a “Row 0” that automatically calculates the total duration, cost, and overall work of your entire project.
  • Configure Project Calendars: Click Project > Change Working Time to define standard working hours, weekends, and specific company holidays so work isn’t planned on non-working days.

Step 2: Build the Work Breakdown Structure (WBS)

Brainstorm your deliverables and list your tasks out comprehensively before worrying about their exact dates.

  • Input Phases and Tasks: Type your high-level project phases and specific action items under the Task Name column.
  • Indent to Create Hierarchy: Highlight your sub-tasks and click Task > Indent to nest them under your major phase rows. The parent rows automatically transform into bold Summary Tasks that roll up the schedules of everything underneath them.
  • Insert Milestones: Mark critical success checks, approvals, or delivery deadlines by creating a task and giving it a 0-day duration. This displays a distinct diamond symbol on your Gantt chart.

Step 3: Add Durations and Establish Logic

Now that the tasks exist, define how long they take and how they interact with one another.

  • Assign Durations Only: Enter estimated timeframes (e.g., 5d for days, 2w for weeks) in the Duration column. Never manually type dates into the Start or Finish columns, as doing so applies rigid constraints that break your dynamic scheduling engine.
  • Link Predecessors and Successors: Establish logic by entering row numbers into the Predecessors column, or by highlighting sequential tasks and clicking the Link Tasks icon (the chain link).
  • Use Relationships and Lags: Double-click a relationship line to shift from the standard Finish-to-Start (FS) hookup to Start-to-Start (SS) or Finish-to-Finish (FF), and add lead or lag time where necessary.

Step 4: Layer Resources and Check the Critical Path

A timeline is only realistic if you have the people and tools available to actually execute the work.

  • Build the Resource Sheet: Switch your view to the Resource Sheet and add your team members, material items, or equipment along with their standard hourly rates.
  • Assign Resources to Tasks: Return to the Gantt Chart view and use the Resource Names column to assign specific entities to individual sub-tasks. Project will now automatically compute the total labor hours and financial costs.
  • Analyze the Critical Path: Go to the Format tab and check Critical Tasks. The tasks that turn bright red dictate your project’s final finish date; if any of these slip by a single day, your entire project deadline slips.

Step 5: Lock in the Baseline

Once your stakeholders formally approve this initial schedule, you must lock it down before tracking day-to-day progress.

  • Go to Project > Set Baseline > Set Baseline.
  • This saves a permanent snapshot of your original plan’s dates, durations, and costs. As the project gets underway and actual hours are recorded, you can use the Tracking Gantt view to instantly see where you are drifting from your original commitments.

Building a Microsoft Project MPP Plan in 5 Steps

API (Application Programming Interface) for Business Analysts BA

An API (Application Programming Interface) is a set of rules that lets different software programs communicate and share data with each other. Think of it like a waiter in a restaurant: you (the application) place an order (a request), and the waiter takes it to the kitchen (the server) and brings back exactly what you asked for.

API Application Programming Interface for Business Analysts BA
API (Application Programming Interface)
for Business Analysts BA

How They Work

  • The Request: One program asks another for specific data or actions using an API call.
  • The Rules: The API dictates exactly how this request must be formatted to ensure security and consistency.
  • The Response: The receiving program processes the request and sends the requested information or executes the task.

For business analysts (BAs), APIs are crucial business enablers that connect systems, automate workflows, and drive revenue. Categorizing APIs helps BAs identify technical impacts, scope integration requirements, and align solutions with strategic business goals.

Categorization can be divided into three primary frameworks: Access Level, Business Purpose, and Architecture Style.

1. By Access Level (Audience)

This categorization defines who has permission to use the API and dictates security requirements.

  • Internal (Private) APIs: Developed by a company strictly for internal use. These connect backend systems (e.g., a CRM talking to an ERP) or allow different internal departments to share data securely.
  • Partner APIs: Shared specifically with external business partners or vendors. These require strict authentication and agreements to streamline supply chain or B2B operations (e.g., granting a distributor inventory access).
  • Public (Open) APIs: Exposed to developers and the general public to foster third-party integrations, app development, or ecosystem growth. They often require an API key or OAuth for tracking usage.

2. By Business Purpose (API-led Connectivity)

This approach, often used in integration methodologies like MuleSoft, categorizes APIs by their role in the enterprise architecture.

  • System APIs: Unlock data directly from core systems of record (e.g., a legacy database, an ERP, or a billing system).
  • Process APIs: Interact with and shape data across multiple systems to break down data silos (e.g., an API that takes order fulfillment data and formats it for shipment and inventory updates).
  • Experience APIs: Provide a business context for the data to be easily consumed by end-user interfaces like mobile applications, web portals, or chatbots (e.g., fetching a 360-degree customer view).

3. By Architecture Style (Technical Format)

While solution architects define the exact protocol, BAs must understand these styles to document data flow, map payloads, and communicate limitations with developers.

  • REST (Representational State Transfer): The most common web API standard. It uses HTTP methods to transfer data in simple formats like JSON.
  • SOAP (Simple Object Access Protocol): An older, highly structured protocol heavily used in enterprise and highly regulated industries (like banking and healthcare).
  • GraphQL: A query language for APIs that allows the client (e.g., a mobile app) to request exactly the specific data it needs, rather than fetching entire datasets.
  • Webhooks: Automated, event-driven APIs. Rather than a client requesting data, the server “pushes” data to the client the moment a specific event happens (e.g., sending a receipt to an app the instant a payment clears).
API Architecture Styles
API Architecture Styles

Key API Concepts for BAs

Business analysts rarely build APIs, but they must understand high-level concepts to document API requirements effectively:

  • Payload: The data that is being sent (Request) or received (Response).
  • CRUD / HTTP Methods: The basic actions mapped to data. BAs need to understand GET (Read), POST (Create), PUT/PATCH (Update), and DELETE (Remove).
  • Status Codes: Standardized numbers that indicate the result of a request (e.g., 200 for success, 404 for not found, or 500 for server error).
  • Documentation: BAs use standards like Swagger/OpenAPI to interpret how an API should behave.
Status Codes, Standardized numbers that indicate the result of a request (e.g., 200 for success, 404 for not found, or 500 for server error)
API Status Codes – standardized numbers
that indicate the result of a request

API (Application Programming Interface) for Business Analysts BA

Mark Whitfield Career Timeline by era and project

Mark Whitfield’s IT project management and software engineering career spans over three decades, progressing from early electronic banking programming on Tandem Mainframes (now known as HPE NonStop) to senior delivery of enterprise-scale middleware, cloud, and digital transformation initiatives.

Mark Whitfield’s IT project management and software engineering career spans over three decades
Mark Whitfield – Senior IT
Project Manager – SC cleared

The high-level chronological timeline (with links) of his professional eras and key project history is broken down below.

💻 1990–1995: Early Programming & Lead Analysis Era

During this foundational era, Whitfield operated as a Programmer and Lead Analyst specializing in core electronic banking software frameworks.

  • The Software Partnership / Deluxe Data (1990–1995): Developed and enhanced the sp/ARCHITECT-BANK platform. His technical responsibilities focused heavily on coding within Tandem Mainframe environments (now HPE NonStop) using C, C++, TAL, COBOL, and PATHWAY architectures.
Deluxe Data International Operations, Wingate House, Northway
Deluxe Data International Operations,
Wingate House, Northway, Runcorn
  • Barclays On-Site Delivery (Early 1990s): Deployed on-site at the Barclays facility in Knutsford, Cheshire. He was responsible for core code development and system architecture design on the Barclays Business Master II (BBM II) electronic banking initiative and subsequent billing modules developed in Poole, Dorset.
Barclays, Wimborne Road, Poole, Dorset
Barclays, Wimborne Road,
Poole, Dorset

🛠️ 1995–2013: Senior Development & Strategic Project Management Era

Transitioning to Insider Technologies Limited at Salford Quays, Manchester, Whitfield progressed into high-level technical project delivery and strategic product management.

Insider Technologies Limited (ITL) in 2001, Salford Quays, Chandlers Point
Insider Technologies Limited (ITL) in 2001, Salford Quays, Chandlers Point
  • Reflex Monitoring Suite R&D (1995–1996): Appointed as a core developer to design platform health and diagnostic plug-in modules for the flagship Reflex 80:20 tracking console.
  • CRESTCo Infrastructure Integration (1997–1998): Acted as a technical infrastructure consultant for CRESTCo (now Euroclear). Managed hardware benchmark coding and testing for newly deployed Tandem S7000 processing nodes.
CRESTCo in 1997 on St. Katherine’s Dock near Tower Hill tube station
CRESTCo in 1997 on St. Katherine’s Dock
near Tower Hill tube station
first HP OpenView Operations (OVO) Smart Plug-In built for NonStop mainframe environments
First HP OpenView Operations Smart Plug-In
for HPE NonStop environments
  • ATM Log Extraction Deployments (2004–2007): Led technical delivery teams implementing automated transaction log extraction layers (RTLX and Sentra) to audit ATM networks for major retail financial brands like Alliance & Leicester (now Santander) and HSBC.
ATM Log Extraction Deployments (2004–2007) - RTLX Reactor
ATM Log Extraction Deployments
(2004–2007) – RTLX Reactor
cross-border ATM and Point-of-Sale (POS) environment monitoring expansion
Cross-border ATM and Point-of-Sale (POS) environment monitoring expansion
  • Enterprise Transaction Monitoring (2011–2013): Functioned as Project Lead to bridge retail banking transaction networks with corporate governance architectures. Integrated critical pathways for Standard Chartered and Global Payments into TIVOLI and XPERT24 using ACI’s XPNET infrastructure.
RTLX Reactor, 2013 article - The Connection Journal
RTLX Reactor, 2013 article –
The Connection Journal

🏦 2013–2014: Professional Services Banking Delivery Era

Whitfield moved into consultant-driven professional services, directly aligning tech components with client business roadmaps.

Diebold Nixdorf Ltd, Berkshire, One The Blvd, Cain Rd, Binfield, Bracknell, RG12 1WP
Diebold Nixdorf Ltd, Cain Rd,
Binfield, Bracknell, RG12 1WP
  • Wincor Nixdorf Banking Division (2013–2014): Retained as Project Manager for Professional Services. He directed a massive hardware and software transition stream for Lloyds Banking Group’s Self-Service Software Replacement (SSSR) programme whilst also providing a qualified management link with Wincor Nixdorf, Paderborn (Germany) for subject matter expertise, as part of the transition.

🎮 2014–2016: Digital Infrastructure & Enterprise Betting Era

Whitfield shifted his delivery domain focus from banking mainframes into real-time high-transaction digital platforms.

☁️ 2016–Present: Cloud Integration, Middleware, & Public Sector Era

In this current era, Whitfield acts as a senior, SC-cleared Senior IT Project Manager specializing in hybrid cloud migrations and API-led integration.

Capgemini UK, Floor 7, Venus Building, Trafford Quays, Manchester. M41 7HA
Capgemini UK, Floor 7,
Venus Building, Trafford Quays
  • Capgemini UK Consultancy (2016–Present): Leading massive corporate and public sector agile/waterfall delivery initiatives. His technical program management footprint expands across a vast roster of tier-one enterprise environments:
    • MuleSoft Ecosystem Deployments: Directing system integration projects utilising the Salesforce MuleSoft suite, spanning API lifecycle design, Anypoint Code Builder configurations, and hyper-automation flows.
    • Multi-Sector Enterprise Clients: Orchestrating cloud migrations, middleware application refactoring, and data pipelines for Jaguar Land Rover (JLR), Heathrow Airport, Royal Mail Group (RMG), NATS (National Air Traffic Services), Welsh Water, Rabobank, Barclays, and UK Export Finance (UKEF).
C&CA UK's Communications & Engagement Award Winner 2022 - Cloud & Custom Applications - Capgemini UK
C&CA UK’s Communications & Engagement Award Winner 2022 – Cloud & Custom Applications – Capgemini UK

Mark Whitfield Career Timeline by era and project

SC Cleared Senior IT Project Manager Mark Whitfield
Senior IT Project Manager,
Mark Whitfield

Professional Training

Certificates

Recommendations

Education Summary

Graduation