Sr. Technical Program Manager - AI

 Posted an hour ago
     
⭐ 10+ years experience
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AI Summary

Lead the enterprise AI Readiness initiative by onboarding and integrating high-impact AI tools into the corporate stack. Oversee AWS infrastructure hardening, security compliance, and program governance to transition pilots into production-grade systems.
Senior Technical Program Manager (TPM)
  • Location: Remote is okay (US - East Coast hours preferred)
  • Experience Level: 12+ years of technical program management experience
Role Overview
We are seeking a Senior Technical Program Manager (TPM) with 12+ years of experience to lead our enterprise AI Readiness initiative. You will drive the planning, architecture hardening, and execution required to safely onboard and integrate high-impact AI tools (such as Glean, Context.ai, and others) into our corporate stack.
This role requires a unique blend of deep AWS infrastructure knowledge, rigorous InfoSec compliance management, and world-class program governance. You will ensure that early-stage pilots seamlessly and securely harden into production-grade systems.
Key Responsibilities
AI Tool Integration & Vendor Management
  • Lead end-to-end planning and execution to onboard, integrate, and scale enterprise AI tools into our existing technology stack.
  • Manage technical relationships with third-party AI vendors, holding partners strictly accountable to technical commitments, delivery timelines, and security baselines.
Infrastructure & Security Hardening
  • Partner with engineering teams to oversee cloud infrastructure delivery in AWS, ensuring robust VPC configuration, identity federation, and multi-AZ architectures.
  • Architect and enforce programmatic transitions that allow Proof of Concept (PoC) environments to systematically harden into production environments without requiring complete rebuilds.
  • Drive Identity & Access Management (IAM) governance, establishing strict frameworks for non-human identities, service account governance, and least-privilege scoping across all AI tools.
Compliance & Enterprise Governance
  • Act as the primary bridge between engineering teams and InfoSec, managing security and compliance gates as hard, non-negotiable delivery requirements.
  • Maintain absolute program discipline using Jira and Confluence to track complex dependencies, milestones, and deliverables.
  • Own the program's RAID log (Risks, Assumptions, Issues, Dependencies), translating complex technical blockers into clear risk-mitigation strategies suitable for Steering Committee (SteerCo) visibility.
  • Manage communication and alignment across senior technical architects and business leadership.
Required Experience & Qualifications
  • 12+ Years of Experience: Proven track record running complex, cross-functional technical programs at the enterprise level.
  • AWS Cloud Infrastructure: Direct experience delivering AWS-based infrastructure, including hands-on familiarity with VPCs, identity federation, and highly available multi-AZ setups.
  • Hard InfoSec Gate Delivery: Demonstrated success running programs where stringent information security, privacy, and compliance review gates were critical path requirements.
  • Advanced IAM Governance: Deep understanding of identity architectures, specifically governing service accounts, non-human identities, and enforcing zero-trust/least-privilege access models.
  • PoC-to-Prod Engineering: Experience managing environments that evolve from initial pilot phases straight into hardened, production-grade systems.
  • Vendor Accountability: Strong history of managing third-party technology providers, enforcing SLAs, and validating technical integration points.
  • Executive-Level Program Management: Mastery of disciplined project tracking, RAID logs, and reporting formats designed for executive and SteerCo leadership.
Preferred (Nice-to-Have) Qualifications
  • Regulated Industries: Background in Financial Services, FinTech, or other highly regulated environments.
  • Enterprise Search & Data Architecture: Familiarity with enterprise search engines, knowledge platforms, vector databases, or complex data connector architectures.
  • Content Permission Mapping: Experience with legacy or cloud file storage permission models (e.g., Box, SharePoint) and scoping connectors to respect existing ACLs (Access Control Lists).

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