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Ai Program Manager Jobs in Ridgewood, NJ (NOW HIRING)

Invoca

Program Manager

New York, NY · On-site +1

Invoca is the leading AI-powered conversation intelligence platform. We empower marketing, sales ... We are looking for a hybrid Program Manager who lives at the intersection of traditional program ...

New

INSPYR Solutions

Program Manager

New York, NY · On-site

$80 - $95/hr

Program Manager Location: Remote (New York City Preferred) Duration: Through end of year 2026 Pay ... Implement AI-driven tools and solutions to improve operational efficiency Minimum Qualifications ...

Phamily

Program Manager

New York, NY · On-site

Program Manager Location: Hybrid 3 days in office, either in New York City or Chicago Job Type ... Senior Director, Professional Delivery About Jaan Health/Phamily Jaan Health is a leading AI-based ...

CYNET SYSTEMS

Program Manager

Jersey City, NJ · On-site

$102 - $107/hr

Own the program-level risk & dependency management process end-to-end -- maintaining a live risk ... Integrate AI tools and agentic workflows into delivery processes; evaluate tool fitness and safety ...

Phamily

Program Manager

New York, NY · Hybrid

Program Manager Location: Hybrid 3 days in office, either in New York City or Chicago Job Type ... Senior Director, Professional Delivery About Jaan Health/Phamily Jaan Health is a leading AI-based ...

The New York Times

Program Manager II

New York, NY · Hybrid

Ability to configure and incorporate generative AI tools, AI-powered agents, and automations into day-to-day program management workflows to enhance efficiency while maintaining human oversight and ...

Magellan Aerospace Corporation

Program Manager

Corona, NY · On-site

$60K - $70K/yr

The Program Manager will act as the primary liaison with customers and suppliers, ensuring timely ... All AI use is performed in accordance with Magellan's privacy policies. Personal information ...

Magellan

Program Manager

Corona, NY

$60K - $70K/yr

The Program Manager will act as the primary liaison with customers and suppliers, ensuring timely ... All AI use is performed in accordance with Magellan's privacy policies. Personal information ...

NICE

Program Manager

Hoboken, NJ

Implement automation, templates, AI-driven tools, and standardized processes to create operational ... Program & Project Management (planning, governance, execution, risk management) * Revenue ...

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All JobsAi Program Manager JobsAi Program Manager Jobs in Ridgewood, NJ

Ai Program Manager information

See Ridgewood, NJ salary details

$39K

$108.7K

$158.9K

How much do ai program manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for ai program manager in Ridgewood, NJ is $108,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $134,100.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of artificial intelligence into projects, coordinating teams and managing timelines. While AI can automate routine tasks and assist in data analysis, human oversight, strategic decision-making, and stakeholder communication remain essential, making complete replacement unlikely in the near term.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines and budgets, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves aligning AI initiatives with strategic goals and ensuring successful deployment and integration.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI program managers with extensive experience and responsibilities. These positions often require advanced skills in AI development, leadership, and strategic planning, and may include bonuses or stock options that contribute to total compensation.
What job categories do people searching Ai Program Manager jobs in Ridgewood, NJ look for? The top searched job categories for Ai Program Manager jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Ai Program Manager jobs? Cities near Ridgewood, NJ with the most Ai Program Manager job openings:
Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $108,727 per year, or $52.3 per hour.
Sr. Technical Program Manager - AI

Sr. Technical Program Manager - AI

Ness Digital Engineering

New York, NY • On-site, Remote

Full-time

Posted 14 days ago

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).

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