ZipRecruiter

Log In

1

Manager Intelligent Automation Jobs in New York (NOW HIRING)

Hiscox

Data Product Manager

New York, NY · Hybrid

We are looking for a Product Manager to own the data products and capabilities delivered by our intelligent automation, data science, and AI engineering teams. Where our core and steady-state data ...

Serval Inc

Automation Engineer

New York, NY · On-site +1

$120K - $220K/yr

We build intelligent agents that understand real-world workflows and execute them end-to-end ... Familiarity with IT, security, service management, or workflow automation. What We Offer * Impact

BNY

Senior Vice President, Product Management

Manhattan, NY

$139K - $184K/yr

Senior Vice President, Applied AI Product Manager: At BNY, our culture allows us to run our company ... Intelligent automation and agentification * Experience working with engineering and data science ...

McDermott

Senior Manager, AI & Analytics

Manhattan, NY · On-site

$158 - $246/hr

## Senior Manager, AI & AnalyticsApplyremote type: Hybridlocations: Chicago: Austin: Atlanta: New York ... Identify opportunities to apply AI, machine learning, and **intelligent automation** across ...

previous pagenext page

Showing results 21-40

All JobsIntelligent Automation JobsManager Intelligent Automation JobsManager Intelligent Automation Jobs in New York

Manager Intelligent Automation information

What is a manager intelligent automation?

A Manager of Intelligent Automation is a professional responsible for overseeing the implementation and management of automation technologies, such as robotic process automation (RPA) and artificial intelligence (AI), within an organization. Their role involves identifying processes that can be automated, leading automation projects, and ensuring that these solutions align with business objectives. They also collaborate with cross-functional teams to optimize workflows, improve efficiency, and reduce costs. Additionally, they may be responsible for training staff, monitoring performance, and staying updated on emerging automation trends.

What are the key skills and qualifications needed to thrive as a manager intelligent automation?

To thrive as a Manager Intelligent Automation, you need expertise in process analysis, automation strategy, and project management, usually backed by a degree in computer science, engineering, or related fields. Proficiency with tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications such as RPA Developer or PMP, are typically required. Strong leadership, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovation. These skills are critical for successfully implementing automation initiatives that boost efficiency and deliver measurable business value.

How does a manager intelligent automation typically collaborate with cross-functional teams during automation projects?

A Manager of Intelligent Automation plays a pivotal role in bridging business units, IT, and operations to ensure automation solutions align with organizational goals. They frequently lead workshops with stakeholders to identify automation opportunities, translate business requirements into technical specifications for developers, and oversee project progress through regular meetings. Effective collaboration involves clear communication, managing expectations, and fostering a culture of continuous improvement, as well as providing support during change management to ensure seamless adoption of new automated processes.

What is the difference between Manager Intelligent Automation vs Business Process Manager?

AspectManager Intelligent AutomationBusiness Process Manager
Required CredentialsTypically requires certifications in automation tools, project management, and sometimes programmingOften requires business management, process improvement, or project management certifications
Work EnvironmentWorks closely with IT, automation teams, and technical stakeholdersFocuses on process optimization across departments, collaborating with business units
Industry UsageCommon in tech-driven industries, finance, and manufacturingWidely used across various industries for operational efficiency

The Manager Intelligent Automation focuses on implementing automation solutions using technical skills, while the Business Process Manager concentrates on optimizing overall business processes. Both roles aim to improve efficiency but differ in technical depth and scope.

What do managers of intelligent automation get paid?

Managers of intelligent automation typically earn between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have skills in process automation tools like RPA software and project management, which can influence salary levels.

What are the most commonly searched types of Intelligent Automation jobs in New York?

The most popular types of Intelligent Automation jobs in New York are:

What are popular job titles related to Manager Intelligent Automation jobs in New York?

For Manager Intelligent Automation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Manager Intelligent Automation jobs in New York look for?

The top searched job categories for Manager Intelligent Automation jobs in New York are:

What cities in New York are hiring for Manager Intelligent Automation jobs?

Cities in New York with the most Manager Intelligent Automation job openings:

Manager Intelligent Automation jobs near you

Enterprise Architect - Azure AI & Intelligent Platforms

Inabia Solutions and Consulting, Inc.

New York, NY • On-site

$75.50 - $97.25/hr

Full-time

Re-posted 15 days ago

Job description

About Us
At Inabia, we help organizations accelerate digital transformation through innovative technology solutions, enterprise consulting, and world-class engineering talent.
We partner with enterprise clients across multiple industries to deliver scalable cloud platforms, AI-driven modernization initiatives, intelligent automation solutions, and next-generation digital experiences. Our culture is collaborative, fast-paced, innovation-focused, and built around delivering measurable business value.
If you are passionate about AI, enterprise architecture, cloud transformation, and modern engineering practices, we would love to speak with you.
Position Overview
We are seeking a highly experienced Enterprise Architect / Solution Architect - Azure AI to lead the design, governance, and evolution of scalable enterprise AI platform ecosystems supporting enterprise-wide AI adoption initiatives.
This is a highly strategic and hands-on architecture leadership role focused on:
  • Azure AI & Generative AI platforms
  • AI Landing Zone architecture
  • Enterprise integrations
  • Responsible AI governance
  • Cloud-native modernization
  • Enterprise-scale AI enablement
  • MLOps and platform engineering

You will serve as the technical authority and architecture lead responsible for designing secure, scalable, compliant, and production-ready AI platforms leveraging:
  • Azure OpenAI
  • Azure AI Foundry
  • Microsoft Fabric
  • Microsoft Copilot
  • Azure Machine Learning
  • Power Platform
  • Enterprise Data & Integration Services

This role requires a strong blend of:
  • Enterprise architecture leadership
  • AI platform engineering expertise
  • Cloud-native architecture
  • Governance and security knowledge
  • Executive stakeholder engagement
  • Consulting and delivery leadership
Key Responsibilities
Enterprise AI Platform Architecture
  • Design and govern enterprise-scale AI Landing Zone architectures on Microsoft Azure.
  • Architect secure, scalable, cloud-native AI platforms leveraging Azure OpenAI, Azure AI Foundry, Microsoft Fabric, Copilot, and related Azure AI services.
  • Establish enterprise architecture standards, reusable frameworks, reference architectures, and governance models for AI adoption.
Generative AI & Intelligent Platform Engineering
  • Lead the architecture of GenAI, RAG, agentic AI, and intelligent automation solutions.
  • Design scalable AI orchestration and enterprise AI integration patterns.
  • Define enterprise AI operational models, observability, and AI lifecycle management standards.
  • Collaborate with engineering teams on AI implementation strategies and platform scalability.
Security, Compliance & Responsible AI
  • Ensure AI platforms comply with enterprise security, privacy, accessibility, and regulatory standards.
  • Implement governance frameworks supporting Responsible AI, explainability, fairness, and observability.
  • Architect secure identity, SSO, RBAC, and enterprise access-control models.
Enterprise Integrations & Data Architecture
  • Design integration architectures across enterprise systems including:
    • ERP
    • CRM
    • SIS
    • LMS
    • APIs
    • Enterprise Data Platforms
    • Identity Providers
  • Establish secure data pipelines, AI data ingestion frameworks, and enterprise connectivity models.
  • Partner with data engineering teams to optimize AI-ready enterprise data ecosystems.
AI Platform Operations & MLOps
  • Define enterprise MLOps standards and AI operational governance.
  • Establish CI/CD pipelines, model monitoring, retraining strategies, and deployment automation.
  • Ensure operational readiness, resiliency, scalability, and cost optimization across AI services.
Technical Leadership & Consulting
  • Serve as a trusted advisor to executive leadership, stakeholders, and delivery teams.
  • Lead architecture reviews, solution governance, technical risk assessments, and modernization roadmaps.
  • Mentor architects, engineers, and development teams across enterprise AI initiatives.
  • Support pre-sales, client workshops, architecture strategy sessions, and enterprise transformation initiatives.
Required Qualifications
Required Experience
  • 12+ years of experience in enterprise architecture, solution architecture, or cloud architecture roles.
  • Strong hands-on experience with Microsoft Azure cloud ecosystems.
  • Deep expertise designing enterprise AI and Generative AI platforms.
  • Proven experience implementing scalable cloud-native architectures and enterprise integration solutions.
  • Experience leading AI modernization, cloud transformation, or intelligent automation programs in enterprise environments.
  • Strong consulting or IT Services background with enterprise client delivery experience.
  • Experience working in Agile and enterprise SDLC delivery environments.
Required Technical Skills
Azure AI & Cloud Technologies
  • Azure OpenAI
  • Azure AI Foundry
  • Azure Machine Learning
  • Azure AI Search
  • Microsoft Fabric
  • Azure Databricks
  • Azure Functions
  • Azure Kubernetes Service (AKS)
  • Power Platform
  • Microsoft Copilot
AI & Data Engineering
  • RAG Architecture
  • LLM Orchestration
  • Agentic AI Workflows
  • Vector Databases & Embeddings
  • AI Governance & Responsible AI
  • MLOps / MLflow
  • Data Engineering & Pipelines
  • Enterprise API Integrations
Cloud & DevOps
  • CI/CD pipelines
  • Azure DevOps
  • GitHub / Git
  • Docker / Containers
  • Infrastructure as Code
  • Monitoring & Observability
Preferred Qualifications
  • Experience in higher education, healthcare, research, or highly regulated enterprise environments.
  • Microsoft Azure certifications preferred.
  • Experience with enterprise AI governance frameworks and AI compliance models.
  • Experience supporting enterprise AI adoption initiatives at scale.
  • Strong executive communication and stakeholder engagement capabilities.
  • Experience working in consulting-led enterprise transformation programs.
What Makes You Successful in This Role
You are:
  • A strategic thinker with deep technical expertise
  • Passionate about AI and enterprise innovation
  • Comfortable operating in fast-paced consulting environments
  • Able to communicate complex technical concepts to business leaders
  • Experienced balancing architecture governance with delivery agility
  • Motivated by solving large-scale enterprise transformation challenges
Why Join Inabia?
  • Work on cutting-edge AI and cloud transformation initiatives
  • Collaborate with enterprise architecture and engineering leaders
  • Help shape AI adoption and modernization strategies
  • Access continuous learning and professional growth opportunities
  • Flexible, collaborative, and innovation-driven culture
  • Opportunity to influence enterprise-scale digital transformation programs
Location & Work Model
  • Hybrid role based near New York City
  • Candidates should reside within a reasonable commuting distance to NYC or be willing to relocate
  • Occasional client-site meetings and architecture workshops may be required
Equal Opportunity Employer
Inabia is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply