Delivery leadership at scale
Led 145 technical resources with a US $16M annual budget, covering delivery performance, resourcing, financials, risk and customer relationships.
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.
Two tracks, one record of work: delivery and portfolio governance, and AI governance with GenAI. Read either on its own.
A concise view of the delivery environments I work best in, the strengths I bring, and the outcomes I focus on.
Led 145 technical resources with a US $16M annual budget, covering delivery performance, resourcing, financials, risk and customer relationships.
Managed an AUD 2.5M innovation fund across multiple initiatives, including an Agile KPI Dashboard and mobile applications.
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.
Bachelor of Economics, Bombay University. SAFe Agile Practitioner, Microsoft Azure Fundamentals, Microsoft Azure Data Fundamentals and AWS Cloud Practitioner.
Enterprise leadership, commercial discipline and recognised delivery credentials, followed by the case studies that show how the work was actually done.
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.
Supported a regulator-facing Payment Operations Program with PSB oversight and PFMI compliance obligations, producing practical delivery evidence and remediation controls.
Selected examples showing how I bring structure, visibility, faster reporting, and better decision support to complex delivery environments.
As an HCL delivery assurance consultant, I made schedule-governance gaps visible so RBA program leadership could see what needed fixing before the next reporting cycle.
The RBA Payment Operations Program had five planning artefacts with inconsistent hygiene and limited assurance visibility.
Reviewed 1,530 tasks and classified 76 findings across baselines, status dates, constraints, calendars, and task quality.
Created a clearer remediation path for workstream owners and a stronger evidence base for program reporting.
Schedule findings register, five-phase uplift plan, reporting notes, and workstream remediation view.
The reporting process was too manual. I turned repeatable work into a checked workflow, while keeping delivery judgement in the loop.
Reporting relied on recurring spreadsheet and slide-pack effort, with too much time spent formatting instead of analysing.
Created a one-click SteerCo Pack Generator and a 535-task constraint-triage workbook, with repeatable checks around MS Project reporting outputs.
Reporting became faster to prepare, easier to review, and more consistent from cycle to cycle.
Steering committee pack generator, constraint triage view, RAID navigation packs, and quality checks.
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.
Program artefacts were spread across plans, logs, reports, and workstream updates, making escalation paths harder to follow.
Linked schedule issues to RAID themes and shaped the uplift into practical review, remediation, and change-control steps.
Leadership had a cleaner view of what was a planning issue, what was a delivery risk, and what needed a decision.
RAID refresh approach, decision-support notes, governance cadence recommendations, and escalation prompts.
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.
NAB required coordinated uplift across vendor squads, platform teams and operational stakeholders.
Coordinated five vendor squads to onboard 53 production microservices into an automated patching framework.
Reduced manual patching effort by approximately 70–80% per service while maintaining transition readiness, risk tracking and operational control.
Governance cadence, handover artefacts, readiness tracking, risk views, and delivery follow-up routines.
The goal was not automation for its own sake. It was less rework, fewer manual delays, and better visibility over repeatable operational activity.
Manual cancellation and SKU workflows were creating avoidable effort across support, fulfilment and visibility processes.
Built workflow improvements across cancellation handling, support activity and SKU/store-level visibility for 3,000+ SKUs across 120 stores weekly.
Reduced one workflow from 15 minutes to 2 minutes per request and saved 500+ support hours annually.
Automation workflow, exception handling, weekly visibility routines, and operational reporting outputs.
Interested in a conversation? Contact me directly for delivery assurance, transformation, portfolio governance or practical AI-governance roles.
I bring governance into the work itself: clear evidence, accountable decisions, secure use of information, and delivery commitments that can be met.
Built at HCL Technologies as an AI governance and compliance platform for enterprise risk classification, compliance monitoring, control evidence, regulatory mapping and executive reporting.
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.
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.
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.
AI can structure work, improve reporting signals and reduce manual effort, while judgement and accountability stay with people.
I begin with the decision or workflow that needs help, then design the automation around clearer reporting, earlier risk signals or less manual effort.
Good workflows need visible inputs, repeatable steps, validation, audit trails and clear human ownership.
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.
Delivery assurance, transformation delivery, program controls, governance uplift, and practical AI governance roles across Melbourne and Australia.