Sheetal Bandari

Founded and lead an AI-enabled SaaS product from customer discovery and product strategy through roadmap, requirements, prioritization, AI feature design, validation, early-access planning, launch and go-to-market. Translate user safety and trust needs into sequenced product capabilities including medication interaction, food/allergy, duplicate-ingredient and contraindication checks, label scannin

Design and deliver practical Agentic AI and Generative AI learning for TPM, PM and technology audiences, covering agent architecture, multi-agent orchestration, RAG/RAFT, ReAct/planning patterns, tool use, workflow automation, memory/knowledge systems and enterprise AI operating patterns. Teach AI delivery controls including agent evaluation, validation, guardrails, governance, observability, esca

Built the TPM/PMO operating model for a complex enterprise portfolio and quickly converted ambiguous strategic priorities into multi-quarter roadmaps, sequenced plans, milestones, owners, critical paths, dependencies and measurable execution mechanisms. Led concurrent cross-functional initiatives across Engineering, Finance, Legal, Risk, Identity, Compliance and Operations; maintained live program

Led multiple AI, Data Science and GTM Data initiatives across Sales, Revenue Operations, Analytics, Data Science and Engineering, aligning roadmaps, OKRs, squad dependencies, resources and delivery priorities. Spearheaded AI-powered data-quality and health-monitoring initiatives, establishing measurement mechanisms that improved reporting timeliness and enabled more actionable insights for adoptin

Owned end-to-end delivery for the Ads Relevance and AI portfolio, translating AI product vision into roadmaps, OKRs, sequenced execution plans, technical trade-offs, measurement strategy and launch-readiness criteria. Pioneered AdsHealth, an AI/ML instrumentation and measurement framework to detect, investigate and quantify changes across the LinkedIn Ads marketplace, relevance systems and AI stac

Owned enterprise Sales Systems and order-management initiatives across Salesforce Engineering, business operations, Field Sales and Revenue Operations, managing requirements, backlogs, risks, dependencies, testing and release readiness. Facilitated business/technical trade-offs, removed cross-team blockers and established governance, mitigation and escalation paths to maintain delivery velocity ac

Led enterprise cloud, WebEx and SaaS programs from planning through development, testing, launch and operational handoff, coordinating distributed engineering teams, vendors, dependencies and release readiness. Defined Cloud DevOps adoption and Agile enablement strategy for InterCloud Services, strengthening modern software delivery practices across enterprise-scale cloud initiatives.

Managed multi-geography ERP delivery across Quote-to-Cash, Order-to-Cash, General Ledger and Claims, translating business requirements into implementation plans and coordinating client and engineering stakeholders from requirements through delivery.

Master of Science in Management Information Systems from George Mason University.

Certification in AI, Business & Product Management from UC Berkeley Extension.

Certified ScrumMaster (CSM) certification from Scrum Alliance.

Google AI Essentials certification from Google.

IBM AI Foundations certification from IBM.

Microsoft AI Fundamentals certification from Microsoft.

LinkedIn Generative AI for Leaders certification from LinkedIn.

Prompt Engineering certification.