1

Science Program Manager Jobs in Connecticut (NOW HIRING)

Technical Program Manager Gen AI

Hartford, CT ยท On-site

$130K - $168K/yr

Title: Technical Program Manager Gen AI Location: Hartford, CT (Day 1 onsite role) Duration: 12 ... scientists engineers and product managers to ensure successful project delivery AI Governance ...

Program Management L1

Orange, CT ยท On-site

$100K - $185K/yr

Role Overview The Senior Program Manager will lead large-scale Application Development and ... Bachelor's degree in Engineering, Computer Science, or related field (Master's preferred). * PMP ...

next page

Showing results 1-20

Science Program Manager information

What are the top 3 skills of a program manager?

A program manager needs strong leadership and communication skills to coordinate teams and stakeholders effectively. Organizational and planning abilities are essential for managing multiple projects and deadlines. Additionally, problem-solving and risk management skills help address challenges and ensure successful program delivery.

How to become a project manager in science?

To become a project manager in science, candidates typically need a bachelor's degree in a relevant field such as science, engineering, or project management. Gaining experience in scientific research or technical roles and obtaining certifications like PMP (Project Management Professional) can enhance prospects. Strong organizational, communication, and leadership skills are essential for managing scientific projects effectively.

What is the difference between Science Program Manager vs Research Scientist?

AspectScience Program ManagerResearch Scientist
CredentialsBachelor's or Master's in Science, project management certifications often preferredAdvanced degree (Master's or PhD) in a scientific field
Work EnvironmentProject coordination, cross-functional teams, administrative tasksLaboratory research, data analysis, experimental work
Employer & IndustryResearch institutions, biotech, pharma, government agenciesUniversities, research labs, industry R&D
Search & Comparison IntentUnderstanding project management roles in scienceScientific research and experimental work

The main difference is that a Science Program Manager oversees scientific projects, coordinating teams and resources, while a Research Scientist conducts experiments and generates scientific data. Both roles require strong scientific credentials, but their daily tasks and focus differ significantly.

What does a Science Program Manager do?

A Science Program Manager oversees the planning, coordination, and execution of scientific projects and programs. They work closely with research teams, stakeholders, and funding agencies to ensure that projects meet their objectives, stay within budget, and adhere to timelines. Their responsibilities often include grant management, facilitating communication between different departments, and ensuring compliance with regulatory standards. Science Program Managers play a key role in translating scientific goals into actionable plans and helping organizations achieve their research and development objectives.

What is the highest paid science job?

The highest paid science jobs are often executive roles such as Chief Scientific Officer or senior research directors, with salaries exceeding $200,000 annually. These positions typically require advanced degrees, extensive experience, and leadership skills in industries like pharmaceuticals, biotechnology, or technology development.

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

To excel as a Science Program Manager, you need a strong background in scientific research or project management, typically supported by an advanced degree in a scientific field. Familiarity with project management tools (e.g., Microsoft Project, Asana) and certification such as PMP can be highly valuable. Excellent communication, leadership, and organizational skills are crucial for managing teams and coordinating across departments. These skills ensure effective alignment of scientific objectives, timely project delivery, and successful collaboration among stakeholders.

How does a Science Program Manager typically collaborate with researchers and cross-functional teams?

Science Program Managers play a crucial role in connecting researchers with other departments such as engineering, product development, and regulatory affairs. They coordinate project timelines, facilitate communication among stakeholders, and help resolve scientific or logistical challenges that arise during research initiatives. Regular meetings, status updates, and collaborative planning sessions are typical, allowing the Program Manager to ensure that projects remain aligned with broader organizational goals while supporting the innovative work of research teams.

What does a scientific program manager do?

A scientific program manager oversees research projects and scientific initiatives, coordinating teams, managing budgets, and ensuring project goals are met. They often work with scientists and stakeholders, utilizing project management tools and methodologies to facilitate successful outcomes.
What are popular job titles related to Science Program Manager jobs in Connecticut? For Science Program Manager jobs in Connecticut, the most frequently searched job titles are:
Infographic showing various Science Program Manager job openings in Connecticut as of June 2026, with employment types broken down into 75% Full Time, 14% Part Time, 2% Temporary, and 9% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Technical Program Manager Gen AI

Technical Program Manager Gen AI

NAM Info Inc

Hartford, CT โ€ข On-site

$130K - $168K/yr

Contractor

Posted 21 days ago


Job description

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 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 met

The 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

Best regards,

Chandra Mouli

NAM Info Inc

Direct: 732 993 5332

Email: Chandra@nam-it.com

Web: www.nam-it.com

USA | CANADA | INDIA

MBE Certified Company , E Verify Company


NAM Info logo

About NAM Info

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Edison, NJ, US

Year founded

2000