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Ai Program Manager Jobs in Springfield, MA (NOW HIRING)

Program Manager Gen AI Location: : Hartford CT (5 days in a week) Job type: Contract JD:- * Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and ...

Technical Program Manager Gen AI

Hartford, CT · On-site

$130.10K - $168.50K/yr

Title: Technical Program Manager Gen AI Location: Hartford, CT (Day 1 onsite role) Duration: 12+ Months JD:- Technical Program Manager AI Center of Enablement Position Overview Seeking a highly ...

Technical Program Manager

Manchester, CT · On-site

$110K - $123.75K/yr

Our team leverages automation, AI-driven tools, and a fully connected digital backbone to ... Minimum of 4 years of experience in program management, engineering, or operations * Bachelor ...

AI Architect, Manager

Hartford, CT · On-site +1

$63.50 - $83.75/hr

... programs. The AI Architect will need to understand how various parts of the business processes ... Management Consulting & SI Experience is strongly preferred. * Experience with AI (algorithms, AI ...

If you have strong program management experience, technical fluency across AI and enterprise systems, and experience driving adoption in workforce or services environments, apply now. We are looking ...

As a Senior Manager you will support the firm's AI Governance Program development and manage risk while enabling major firm-wide AI transformation initiatives. This position allows for significant ...

Reporting to the AI Enablement Lead - Manager, this role helps execute enablement activities ... Experience assisting in workshops, training, or change management programs. * Strong organizational ...

Proven track record of leading AI/ERP transformation programs in large enterprises. * Strong ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

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Ai Program Manager information

See Springfield, MA salary details

$38.4K

$107.1K

$156.4K

How much do ai program manager jobs pay per year?

As of May 30, 2026, the average yearly pay for ai program manager in Springfield, MA is $107,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $132,000.00 per year, depending on experience, location, and employer.

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 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.

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 cities near Springfield, MA are hiring for Ai Program Manager jobs? Cities near Springfield, MA with the most Ai Program Manager job openings:

Program Manager Gen AI

Edge Global

Hartford, CT • On-site

Other

Posted 5 days ago


Job description

Position: Program Manager Gen AI

Location: : Hartford CT (5 days in a week)

Job type: Contract

JD:-

  • Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are metThe Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits Work with finance controllers to validate the financial value calculations of AI use cases Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture review findings and recommendations for continuous improvement Delivery Management Oversee the execution and delivery of AI projects ensuring adherence to project timelines budgets and quality standards Implement and enforce delivery checklists to ensure all critical steps and requirements are met Coordinate with cross functional teams including data scientists engineers and product managers to ensure successful project delivery AI Governance Ensure that all AI projects comply with established AI guardrails including ethical guidelines data privacy and security standards Implement monitoring and auditing mechanisms to track compliance with AI governance policies Develop and maintain documentation for AI governance including model validation testing and deployment protocols AI Model Capacity Management Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization Monitor and forecast AI model capacity needs adjusting as necessary to meet project demands Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements Stakeholder Collaboration Facilitate effective communication and collaboration among cross functional teams and stakeholders Conduct regular meetings and workshops to gather feedback address concerns and ensure alignment on project goals and priorities Act as a liaison between business units and technical teams translating business requirements into technical specifications Continuous Improvement Identify opportunities for process improvements and efficiencies in AI project management and delivery Stay up to date with the latest advancements in AI technology and best practices continuously seeking ways to enhance the AI Center of Enablement Foster a culture of innovation and continuous learning within the team encouraging the exploration of new technologies and methodologies Value Calculation Financial Validation Collaborate with finance controllers to validate the financial value calculations of AI use cases Ensure accurate and transparent reporting of the financial impact of AI projects