Sr. Technical Program Manager - AI

NESS INC
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Access Control List Artificial Intelligence Amazon Web Services Cloud Computing Cyber Security Data Architecture RAID File Systems Federated Identity Management Identity and Access Management Zero Trust Network Access Microsoft SharePoint
+3 more
Enterprise Search Amazon Virtual Private Cloud (VPC) Atlassian Tools

Job description

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., 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.

Requirements

Do you have experience in Zero Trust security?, * 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., * 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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