Yashveer Singh

About Yashveer Singh

Results-driven Senior Technical Program Manager with 8+ years of experience delivering large-scale, cross-functional initiatives across AI agent experiences, cloud platforms, data engineering, platform migrations, reporting and customer experience domains. Strong track record managing end-to-end program lifecycles—from requirements and architecture reviews to development, release planning, and operational excellence.My work spans conversational AI scenario design, telemetry analysis, data modeling, and scaling insights pipelines that guide learning, readiness, and business decision-making.I excel at partnering with engineering, UX, data, and product leaders to deliver intuitive, reliable, and data-backed solutions that enhance productivity, optimize processes, and support customer-facing and internal platforms.Core Competencies• Program & Project Management (Schedule, Scope, Cost)• AI Agents, Conversational Systems & Prompt Design• Cloud Program Management (Azure, Fabric)• Cross-functional Team Leadership• Data Analytics & Business Intelligence• Customer Experience Optimization• Agile & SDLC Methodologies• Risk Management & Change Enablement• Product Roadmap & Strategy Alignment• Stakeholder Communication & Executive Reporting• Critical Thinking & Problem-Solving• Strong Ownership, Urgency & Delivery FocusPrimary Responsibilities & Achievements• Led 100+ agile initiatives across AI agents, data engineering, reporting, and customer experience.• Built telemetry and insight pipelines integrating agent usage for leadership level consumption.• Partnered with PM and UX teams to define user journeys and drive product vision.• Performed architecture modeling, design reviews, and engineering lifecycle planning.• Authored detailed requirements, user stories, and acceptance criteria in Azure DevOps.• Managed executive reporting, stakeholder alignment, and cross-team communication.• Reduced operational costs, accelerated turnaround time, and improved delivery efficiency.• Mentored engineering teams across multiple time zones and technical disciplines.• Oversaw release readiness, post-deployment support, and escalation management.Technical Skills• T-SQL / Database Technologies• Azure Services• Power BI / Microsoft Fabric• AI Agents• Power Automate• Machine Learning & Statistical Modeling• Cloud, APIs, Windows Stack, Open Source

Experience

1. Technical Program Manager

   MAQ Software

   Jun 2018 — Present · Redmond, WA, US

   AI Agents Experiences:Led end‑to‑end delivery of agentic capabilities for critical domain, driving multi‑agent architecture.Designed and shipped 40+ agent features including business specific document generation, API integration, Fabric Data Agent insights, and multi‑format (PDF/Excel) plan export.Built telemetry pipelines and structured metrics, enabling leadership‑level insights into adoption, usage patterns, and answer accuracy.Coordinated multi‑team integration, accelerating cross-org alignment and reducing feature delivery time by ~30%.Program Delivery & Cross‑Functional Leadership:Managed 25–30 software/data engineers across multiple time zones, overseeing architecture reviews, sprint execution, ADO work item creation, and end‑to‑end SDLC.Delivered 100+ projects across cloud, data, AI, and CX domains using Agile, Scrum, and Waterfall depending on complexity and stakeholder needs.Reduced reporting and ops turnaround time by 20–40% by optimizing pipelines, simplifying visuals, and improving model refresh cycles.Built roadmaps, dependency models, and release plans that improved delivery predictability by ~25%.Partnered with UX to produce intuitive user journeys and mockups, improving stakeholder alignment and reducing rework cycles by ~15%.Execution, Quality & Operations:Translated business requirements into technical solutions, producing clear specifications and acceptance criteria for engineering teams.Improved engineering throughput by 20% through refined backlog grooming, estimation sessions, and milestone structuring.Led daily standups, cross‑team syncs, and executive reporting, increasing stakeholder visibility and eliminating blockers proactively.Oversaw deployment planning, release management, and post‑deployment operations; improved support SLAs by ~30% via structured escalation workflows.Ensured cost/performance optimization of solutions, reducing compute and refresh costs across reporting workloads.

Education

• The University of Texas at Dallas

  Master's degree, Computer Science (Data Science)

  2015 — 2017

• Guru Gobind Singh Indraprastha University

  Bachelor of Technology - BTech, Electronics & Communication Engineering

  2011 — 2015