Suraj Varma • Melbourne, Victoria

Enterprise technology delivery and AI governance leader.

25+ years leading enterprise technology delivery across Australia, India, the UK and the US, with practical experience in delivery assurance, AI governance, automation and enterprise transformation.

I help complex programs get control of the basics: plans people can trust, risks that support decisions, reporting that tells the truth, and automation that removes manual drag without removing judgement.

Delivery assurance AI governance Governance uplift Solution shaping Commercial delivery Automation Executive reporting

Two tracks, one record of work: delivery and portfolio governance, and AI governance with GenAI. Read either on its own.

At a Glance

Delivery assurance, transformation and governance, with practical automation where it helps.

A concise view of the delivery environments I work best in, the strengths I bring, and the outcomes I focus on.

BNSF

Delivery leadership at scale

Led 145 technical resources with a US $16M annual budget, covering delivery performance, resourcing, financials, risk and customer relationships.

ANZ

Portfolio investment governance

Managed an AUD 2.5M innovation fund across multiple initiatives, including an Agile KPI Dashboard and mobile applications.

Zain Telecom

Global customer-platform delivery

Delivered a customer self-care portal for 50+ million users across 22 countries, leading a 26-person team and a US $850K budget, with Best Managed Project recognition.

Credentials

Delivery and cloud foundations

Bachelor of Economics, Bombay University. SAFe Agile Practitioner, Microsoft Azure Fundamentals, Microsoft Azure Data Fundamentals and AWS Cloud Practitioner.

Track 1 of 2
Career foundation and case studies

Senior technology delivery, transformation and portfolio governance.

Enterprise leadership, commercial discipline and recognised delivery credentials, followed by the case studies that show how the work was actually done.

HCL Technologies | Jul 2010 – Jul 2026

Deputy General Manager

Led delivery teams, vendor squads and account operations across banking, retail, telecom and media. Held P&L responsibility across engagements including utilisation, revenue forecasting, invoicing, SOW drafting and margin-improvement levers.

Reserve Bank of Australia | Jan – Jul 2026

Delivery Assurance Consultant, via HCL Technologies

Supported a regulator-facing Payment Operations Program with PSB oversight and PFMI compliance obligations, producing practical delivery evidence and remediation controls.

Selected case studies

Practical examples of control, clarity and repeatability.

Selected examples showing how I bring structure, visibility, faster reporting, and better decision support to complex delivery environments.

Reserve Bank of Australia | Delivery Reporting Automation

The reporting process was too manual. I turned repeatable work into a checked workflow, while keeping delivery judgement in the loop.

Reporting Automation
View situation, action, result and artefacts

Situation

Reporting relied on recurring spreadsheet and slide-pack effort, with too much time spent formatting instead of analysing.

Action

Created a one-click SteerCo Pack Generator and a 535-task constraint-triage workbook, with repeatable checks around MS Project reporting outputs.

Result

Reporting became faster to prepare, easier to review, and more consistent from cycle to cycle.

Artefacts

Steering committee pack generator, constraint triage view, RAID navigation packs, and quality checks.

Impact: less preparation drag, more time for analysis, and a reporting rhythm people can reuse.

Reserve Bank of Australia | RAIDD and Decision Workflow Uplift

The governance artefacts existed, but they were not helping decisions enough. I tightened the structure so risks, issues, dependencies, and decisions were easier to act on.

Governance
View situation, action, result and artefacts

Situation

Program artefacts were spread across plans, logs, reports, and workstream updates, making escalation paths harder to follow.

Action

Linked schedule issues to RAID themes and shaped the uplift into practical review, remediation, and change-control steps.

Result

Leadership had a cleaner view of what was a planning issue, what was a delivery risk, and what needed a decision.

Artefacts

RAID refresh approach, decision-support notes, governance cadence recommendations, and escalation prompts.

Impact: clearer escalation paths and a better distinction between planning gaps, delivery risks, and decisions needed.

NAB | Automated Patching Transition

Multiple vendor and platform teams needed a common rhythm. I used evidence, cadence and follow-through to transition work with clear ownership and no loss of coverage.

Delivery Control
View situation, action, result and artefacts

Situation

NAB required coordinated uplift across vendor squads, platform teams and operational stakeholders.

Action

Coordinated five vendor squads to onboard 53 production microservices into an automated patching framework.

Result

Reduced manual patching effort by approximately 70–80% per service while maintaining transition readiness, risk tracking and operational control.

Artefacts

Governance cadence, handover artefacts, readiness tracking, risk views, and delivery follow-up routines.

Impact: 53 production microservices onboarded with clearer readiness tracking and operational control.

Coles | Operational Workflow Automation

The goal was not automation for its own sake. It was less rework, fewer manual delays, and better visibility over repeatable operational activity.

Operational Uplift
View situation, action, result and artefacts

Situation

Manual cancellation and SKU workflows were creating avoidable effort across support, fulfilment and visibility processes.

Action

Built workflow improvements across cancellation handling, support activity and SKU/store-level visibility for 3,000+ SKUs across 120 stores weekly.

Result

Reduced one workflow from 15 minutes to 2 minutes per request and saved 500+ support hours annually.

Artefacts

Automation workflow, exception handling, weekly visibility routines, and operational reporting outputs.

Impact: one request workflow reduced from 15 minutes to 2 minutes, saving 500+ support hours annually.

Interested in a conversation? Contact me directly for delivery assurance, transformation, portfolio governance or practical AI-governance roles.

Track 2 of 2
AI governance and solution shaping

AI governance, GenAI, delivery assurance and transformation.

I bring governance into the work itself: clear evidence, accountable decisions, secure use of information, and delivery commitments that can be met.

AI governance platform

AI Sentinel

Built at HCL Technologies as an AI governance and compliance platform for enterprise risk classification, compliance monitoring, control evidence, regulatory mapping and executive reporting.

What it covers
  • Discovery, classification and continuous monitoring
  • Control evidence and regulatory mapping
  • Executive-level governance reporting
AI-assisted bid intelligence

Governed RFP and bid-response support

At HCL Technologies, led governance design for an AI-assisted workflow that triaged RFPs, structured key asks and surfaced approved internal material for bid-team review. It was decision support, not an autonomous proposal author.

What it covers
  • Source grounding and traceability
  • Human approval for claims and commitments
  • Approved-content and data-protection boundaries
LLM request security

Aegis

Built at HCL Technologies as an LLM request-security gateway with policy controls, authentication options, rate limits, request guards, redaction-first audit logging and safe startup validation.

What it covers
  • Policy controls and request guards
  • Redaction-first audit logging
  • Safe validation before startup
Independent practice

Self-hosted agentic AI operations

Independently built and operate a self-hosted OpenClaw environment for persistent agent workflows, including Cost Guardian controls for privacy, security, cost and accessibility. It is a personal practice environment, not an HCL client production service.

What it covers
  • Scoped context, controlled tools and approval-aware delivery
  • Model routing, scheduler health and failure recovery
  • Cost Guardian controls for privacy, security, cost and accessibility
How I work with AI

AI that improves the work without weakening control.

AI can structure work, improve reporting signals and reduce manual effort, while judgement and accountability stay with people.

Decision support

Start with the decision

I begin with the decision or workflow that needs help, then design the automation around clearer reporting, earlier risk signals or less manual effort.

Assurance

Make outputs checkable

Good workflows need visible inputs, repeatable steps, validation, audit trails and clear human ownership.

Operating model

Build for real operations

I prefer monitored, documented workflows over fragile one-off scripts that only one person can maintain.

Important distinction: I use AI to support delivery assurance, governance, reporting and workflow automation. It improves visibility and execution discipline, while people remain accountable for decisions and commitments.

Best fit

Delivery assurance, transformation delivery, program controls, governance uplift, and practical AI governance roles across Melbourne and Australia.