Prem Moola
Enterprise AI Platform Executive | CTO | AI, Data, and Platform Transformation | Ex-Goldman Sachs | BNY Mellon
[email protected] | linkedin.com/in/premmoola | www.premmoola.com
Executive Value Proposition
Building enterprise AI platforms that help regulated organizations become AI-native businesses.
Technology executive with 20+ years of experience leading AI platform creation, data-platform modernization, cloud and developer-platform transformation, and global engineering execution across financial services, SaaS, and media. Combines executive ownership with deep platform credibility across governed AI infrastructure, distributed data systems, enterprise architecture, and operating-model change. Known for turning architecture decisions into business outcomes including 80% infrastructure cost reduction, 75% operational cost reduction, 40% reporting-cycle improvement, 70% faster time-to-insight, 5x deployment-velocity improvement, and 99.99% uptime across production SaaS and media workflows.
Executive Highlights
20+ years leading enterprise platform and engineering transformation
Built AI platforms for regulated and security-sensitive environments
Reduced infrastructure cost by 80% and operational cost by 75%
Improved reporting cycle time by 40% and time-to-insight by 70%
Led global engineering organizations across enterprise and founder-led environments
Former Goldman Sachs VP and BNY Mellon Senior Director
Core Competencies
Enterprise AI platform architecture; enterprise AI strategy; agentic AI systems; LLM infrastructure and RAG; governed AI adoption; data engineering platforms; cloud-native architecture; platform modernization; distributed systems; regulatory and trading data platforms; auditability and lineage; engineering leadership; vendor strategy; operating-model transformation.
Professional Experience
- Created a governed enterprise AI platform for regulated environments, enabling secure inference, retrieval, model routing, and controlled tool execution inside customer-controlled infrastructure.
- Established the platform architecture invariant that customer documents, prompts, responses, audit records, identity data, and backups remain inside the customer perimeter, with every outbound channel explicitly operator-enabled.
- Created a unified enforcement gateway for identity, authorization, model access, rate limiting, signed principal propagation, and service proxying, reducing duplicated security and access logic across services.
- Operationalized the AI execution plane around governed retrieval, tenant-aware context access, model routing, fallback inference paths, and MCP-style tool execution for production enterprise use.
- Institutionalized the Srasta Membrane as the governed memory and state boundary for AI execution, covering memory lifecycle, policy and approval decisions, lineage, drift evaluation, and auditable rollback.
- Established an evaluation loop for enterprise AI quality, balancing routing accuracy, latency, throughput, cost, hardware fit, and operator constraints to improve model-selection and retrieval behavior.
- Framed the enterprise ROI model for AI infrastructure by consolidating fragmented model serving, retrieval, memory, tooling, identity, audit, deployment, and recovery into one governed platform.
- Defined deployment and hardening patterns for regulated customers across containerized and Kubernetes-based environments, including audit posture, image integrity, offline licensing, and recovery controls.
- Created Diggt as a digital product studio and shared platform layer for mobile-first SaaS products across property operations, workforce management, habit systems, subscriptions, analytics, CRM, and cloud cost operations.
- Established Studio Platform as the shared product foundation across three live products, standardizing authentication, notifications, analytics, CRM, deployments, and payment capabilities to reduce incremental build effort by roughly 60%.
- Operationalized a low-cost shared cloud platform for product delivery, end-user messaging, subscription workflows, analytics, and release operations while keeping the portfolio at roughly $20/month in cloud spend.
- Commercialized SureLease as a cross-market rental property management SaaS for US and India markets, covering owner and tenant workflows, onboarding, subscriptions, notifications, and mobile/web delivery. Website: surelease.diggt.cloud.
- Established SureLease beta onboarding for 11 property owners, including Indian and Caribbean property owners domiciled in the US, with focus on digital identity, KYC onboarding, and cross-border rent/payment operations.
- Created Shyftly as a workforce-management SaaS platform for small-business owners, managers, and employees, covering multi-store ownership, scheduling workflows, approvals, messaging, analytics, and subscription monetization. Website: shyftly.diggt.cloud.
- Standardized Shyftly delivery on a reusable mobile and serverless operating model that supports onboarding, messaging, billing, automation, and lifecycle CRM sync.
- Prepared Shyftly beta onboarding with a 100-location QSR owner, using the shared Diggt platform to support scaling without duplicating core infrastructure and operating patterns.
- Created Habit as a live mobile-first habit and goals product with active users, supporting tracking, reminders, analytics, and weekly performance feedback with minimal network dependency. Website: habit.diggt.cloud.
- Established a local-first product pattern for Habit where nearly all operations run on-device, with secure backup/restore, sync, reminders, analytics, and subscription tracking.
- Directed enterprise alternatives data strategy and modernization of AI-native data platforms across a $500B AUM asset-services data estate.
- Led the Alternatives Data team across three time zones, owning architecture and strategy for approximately 1,500 funds, six accounting systems, and approximately 2,000 product/client-facing operational users.
- Defined enterprise Alternatives Data Strategy aligned to compliance, platform modernization, reporting quality, and business priorities.
- Unified ingestion from six accounting systems into a governed schema and operating model, reducing custom-reporting cycle time by 40% from requirements gathering through final client submission.
- Operationalized governed AI query and report-building workflows, reducing business-user time-to-insight by 70%.
- Institutionalized audit-controlled reporting pipelines where every report action and change was captured for traceability.
- Won the BNY AI Hackathon with an anomaly-detection solution that was adopted into production monitoring.
- Led engineering for an enterprise media SaaS platform serving professional creative workflows and major media organizations including CNN and Disney.
- Scaled the globally distributed engineering organization from 2 to 45 while supporting 2 enterprise customers and approximately 3,000 platform users across US and UK workflows.
- Re-architected the initial MVP into a microservices-based enterprise media platform with approximately 15 services managing approximately 800TB of data and multi-region transcoding clusters that auto-tuned capacity based on request volume.
- Reduced infrastructure costs by 80% by replacing an external cloud transcoding dependency with an in-house cloud-based transcoding service, plus architecture optimization and vendor renegotiation.
- Maintained 99.99% uptime for more than a year across pipelines and infrastructure supporting global customers and demanding production workloads.
- Integrated platform workflows with Adobe, Final Cut Pro, and DaVinci Resolve, reducing editorial turnaround time by 50%.
- Moved release operations from ad hoc delivery to structured, certified, well-tested biweekly releases.
- Helped drive $8M ARR through camera-to-cloud partnerships, workflow integrations, and strategic ecosystem delivery.
- Supported NFT creation and submission to Ethereum using smart contracts as part of platform expansion.
- Led enterprise engineering modernization across private cloud, analytics, business-process digitization, and DevOps automation.
- Modernized infrastructure strategy by moving dev/QA workloads to private cloud, reducing monthly hosting spend from approximately $30K to approximately $8K while keeping production cloud-hosted.
- Established distributed analytics and data-processing platforms for enterprise reporting and operational workloads.
- Increased deployment velocity 5x, enabling weekly releases across multiple client platforms through SDLC standardization, agile operating practices, CI/CD automation, and disciplined QA/recovery workflows.
- Led a 40-member engineering organization across 20% onsite and 80% offshore delivery, supporting approximately 80 clients.
- Digitized business processes across HR, sales, engineering, marketing, timesheets, CRM, and service delivery operations.
- Owned OpEx/CapEx planning, third-party vendor relationships, negotiations, and business/technology alignment across modernization programs.
- Led engineering strategy and platform development for global trading analytics, regulatory reporting, data platforms, entitlement systems, and high-volume financial workflows.
- Directed global trading analytics, regulatory reporting, entitlement, and enterprise data-platform engineering across high-volume financial workflows.
- Managed a 46-node core analytics cluster with live-live regional isolation supporting fixed income and global business workflows across New York and London.
- Supported high-volume financial data platforms processing roughly 2TB of new data daily across trading analytics, regulatory reporting, warehouse, and entitlement workflows.
- Reduced platform operational overhead by 75% over six months through workflow redesign, automation, issue-pattern analysis, and self-service adoption across new teams.
- Created a scalable entitlement framework applying logical access rules across enterprise data platforms and governed access workflows.
- Established platform analytics and automation capabilities that improved performance diagnosis, cluster operations, deployment speed, and upgrade reliability across 16 production clusters.
- Modernized strategic data-ingestion and warehouse-readiness frameworks to support curated enterprise consumption and regulatory reporting workloads.
- Transformed OTC derivative regulatory-reporting architecture across Credit, Rates, FX, Equity, and Commodities, supporting daily and near-real-time reporting for global regulators.
- Improved regulatory-platform resilience and maintainability by redesigning partitioning, workflow isolation, connectivity, and reconciliation patterns across core reporting systems.
- Reduced Tier A support overhead through federated development and validation models for critical gateway workflows.
- Delivered front-office trading and sales technology including trade-entry tools, institutional sales merchandising, and electronic trading platform enablement.
- Served as Co-COO for Technology Asian Professionals Network, partnering with HCM and technology/business leadership on mentoring, retention, career development, budgeting, and divisional programming.
- Built financial technology systems before joining Goldman Sachs.
Education
Fairleigh Dickinson University
MS, Computer Science
University of Madras
BS, Computer Science Engineering
Technical Skills
Enterprise AI and Data Platforms: enterprise AI platforms, governed AI infrastructure, LLM infrastructure, RAG, agentic workflows, regulated data platforms, distributed analytics, auditability, lineage, and retrieval systems.
Cloud and Platform Engineering: cloud-native architecture, platform automation, Kubernetes and container operations, serverless delivery, developer platforms, observability, release engineering, cost optimization, and recovery controls.
Software and Security: API design, authentication and authorization, RBAC, OIDC/JWT, policy-aware workflows, microservices, mobile/web delivery, and security hardening for regulated environments.
Leadership and Transformation: global engineering organizations, operating-model design, vendor strategy, OpEx/CapEx planning, regulated systems delivery, product strategy, and business-aligned platform modernization.