Technical Program Manager · IT Program Manager · Project Manager
Bay Area, CA · Open to relocation
Results-driven Technical Program Manager with 15+ years of experience leading large-scale ecommerce, cloud and enterprise technology programs at Walmart, Scotiabank, GSK and Tech Mahindra.
I currently lead Walmart programs across eComm, Fulfillment, Omni, Financial Services and Marketplace, with a portfolio worth $500M+ across 15+ teams in the US, Canada and Mexico, with 100% on-time delivery of OKR-aligned features. I also drive E2E readiness, quality and AI automation across Web, iOS and Android.
Earlier, I delivered regulatory compliance, employee data privacy (DPRA/DPIA, GDPR), HR, finance and Azure/GCP migration programs. I'm known for executive stakeholder management, dependency and risk management, release governance, and AI-enabled program operations that cut reporting effort by 80%.
Each one uses the same format as a status review: the problem, what I did, and the result.
Role: Technical Program Manager, owning end-to-end execution
Many concurrent revenue initiatives, each depending on 15+ engineering, product and operations teams in the US, Canada and Mexico.
Defined critical paths and milestones, sequenced integration, E2E, UAT and phased rollouts under release governance, and re-baselined or held feature-flagged releases when health dashboards showed slip.
15+ OKR-aligned features delivered 100% on time, 60% of them needing coordination across 15+ teams, including Drone Delivery, an ultrafast fulfillment path for eligible small baskets.
| Pharmacy (Rx) delivery | Fulfillment |
| Express pickup promise | Omni |
| Apple Pay / Google Pay | Payments |
| Real-time substitutions | eComm |
| Drone delivery | Fulfillment |
| Seller programs | Marketplace |
Autonomous aerial delivery for small, eligible baskets in eligible zones, built for speed and lower last-mile cost on time-sensitive orders.
More than a carrier integration: every order has to pass several eligibility checks across many teams before it can fly, and then be operated differently from a road delivery.
Coordinated the cross-surface program spanning item discovery, cart, delivery promise and slot booking, address eligibility, provider integration and order execution.
| Drone-eligible items discovered | Search · Item |
| Address inside a provider zone | Zone |
| Basket fits drone limits | Cart |
| Capacity available | Promise |
| Delivery slot reserved | Slot |
| Order dispatched to the drone | Execution |
Test requests across Web, iOS and Android came in through scattered channels, with unclear ownership and late data blockers.
Designed one quarterly intake with defined stages, stack-ranking and capacity review, plus readiness gates for go/no-go decisions and an automated data-setup workflow.
Commitments based on capacity, earlier risk detection and fewer test-data delays.
TPMs spent hours every cycle assembling status, risk and dashboard updates by hand.
Applied agentic AI and MCP integrations with Jira and Confluence to automate intake analysis, risk flagging, status reporting and executive updates.
One TPM now covers work that used to take three. Read how I built it →
FATCA (Foreign Account Tax Compliance Act) and CRS (Common Reporting Standard) are international tax regulations that require financial institutions like Scotiabank to identify non-resident clients with potential tax liabilities in foreign jurisdictions.
Scotiabank had to identify and report these clients accurately, on fixed regulatory deadlines with no room to slip.
Ran SIT and UAT, regulatory validation and business sign-off as gated milestones with clear owners.
Every regulatory reporting deadline met.
HR systems processing employee personal data needed formal privacy risk review under GDPR.
Worked with the Information Security Group on DPRA and DPIA for the Career Portal, HRMS and payroll, then drove remediation with HR, Legal, Compliance and IT.
Findings tracked in a risk register through to verified closure.
Time tracking, attendance and payroll data were inconsistent across global sites.
Implemented time tracking, biometric attendance and payroll sync as part of a $5M+ HR, finance and infrastructure portfolio.
Accurate workforce data across every site, with far less manual effort.
Recruiters posted jobs by hand, and hiring was slow.
Led an Agile rebuild that integrated Ceipal ATS through REST APIs, on a GDPR-compliant platform.
Less posting effort, faster hiring and 200+ hours saved every month.
The same five stages, whether it's a payments launch or a regulatory deadline, and the artifact each one produces.
One front door, clear owners, and commitments based on real engineering capacity.
Dependencies, milestones and integration sequencing agreed with EMs and architects.
PRD walkthroughs, test-case reviews, ADA and privacy checks before go/no-go.
Phased and feature-flagged releases, CAB, cutover and rollback plans.
AI-assisted status, risk and executive reporting, so time goes to decisions.
The four documents behind every program I run, from the daily risk check to the weekly leadership review. The samples use fictional data.
| Design sign-off | Mar 4 | Done |
| E2E sign-off | Apr 18 | On track |
| Launch | May 6 | At risk |
| Partner API late | H | Stub + daily sync |
| Test data gaps | M | Synthetic data set |
The single source of truth for each program: scope, milestones, owners and decisions, plus a live risk register with a mitigation plan and an owner for every risk. It links to Jira epics and filters so execution and tracking stay in one place.
One view of program status for leadership every week: RAG by scope, schedule, quality and budget, the highlights, the risks that need attention, and the decisions I need from them. It's built to be reviewed in five minutes.
For programs flagged at risk, a daily report tracks each blocker with an owner, an ETA and an escalation path until it closes. Urgent issues get handled the same day instead of waiting for the weekly cycle.
I built these dashboards with agentic AI and MCP connections to Jira and Confluence. They pull milestone adherence, P1 aging, dependency closure and sprint health automatically, and flag risks before the status meeting. Together they form a five-dashboard operating model that cut manual reporting by 80%. How I built them →
15+ years, from running engineering teams to leading multi-country programs.
End-to-end execution, roadmap and OKR planning, critical path and dependency management, risk mitigation, release governance, capacity planning, go/no-go, PMO and portfolio governance, KPI/EVM.
GDPR, DPIA, data privacy risk assessment (DPRA), privacy remediation, risk registers, FATCA/CRS, ISO 9001, CMMI.
Agentic AI, context engineering, MCP integrations with Jira and Confluence, AI-assisted status reporting and risk tracking, workflow automation.
System design collaboration, REST APIs, microservices, cloud migration (Azure, AWS, GCP), CI/CD, E2E test automation strategy, accessibility (ADA) governance.
Scrum, Kanban, hybrid and waterfall, SDLC, release management (CAB, cutover, rollback), SIT/UAT, defect and P1 management, SLA adherence, RAID logs.
Jira, Confluence, Azure DevOps, Microsoft Project, Smartsheet, Power BI, Tableau, Git, Java, Python, SQL, MongoDB, Azure Cosmos DB.
Status reporting used to take hours of every TPM's week. Here's the setup that cut my manual effort by 80% and let one program manager cover the work of three, and where the human still has to stay in the loop.
Read the article →I'm open to Senior and Staff TPM, privacy and compliance program roles, and technical product roles. The quickest way to reach me is email or LinkedIn.