12+ Years of Experience in technical program management
Direct experience delivering AWS-based infrastructure
Demonstrated success with stringent information security and compliance
Deep understanding of identity architectures
Requirements:
Lead end-to-end planning and execution to onboard AI tools
Partner with engineering teams for cloud infrastructure delivery in AWS
Act as the primary bridge between engineering teams and InfoSec
Maintain program discipline using Jira and Confluence
Job description
Description
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).
