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Data Program Manager Jobs in New Britain, CT (NOW HIRING)

Technical Program Manager Gen AI

Hartford, CT · On-site

$130K - $168K/yr

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

As a Program Design Manager, you will be pivotal in refining and driving clarity in the business ... Partner with Product, Engineering, Data, and other technology teams to assess feasibility, identify ...

... data on all identified teaching strategies, behavior plans, report client's progress needs and any ... Report all errors of medication administration or documentation to the RN, Program Manager and ...

... data on all identified teaching strategies, behavior plans, report client's progress needs and any ... Report all errors of medication administration or documentation to the RN, Program Manager and ...

Showing results 41-60

Data Program Manager information

See New Britain, CT salary details

$30.7K

$96.1K

$170.1K

How much do data program manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data program manager in New Britain, CT is $96,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a data program manager?

A Data Program Manager is responsible for overseeing and coordinating data-related projects and initiatives within an organization. They manage teams, set project goals, allocate resources, and ensure that data strategies align with business objectives. Their role often involves working closely with data engineers, analysts, and stakeholders to ensure data quality, compliance, and effective use of data assets. Data Program Managers also monitor project progress, address risks, and ensure the successful delivery of data programs on time and within budget.

What are the key skills and qualifications needed to thrive as a data program manager, and why are they important?

To thrive as a Data Program Manager, you need expertise in data analytics, program management, and a solid understanding of data governance, typically backed by a degree in computer science, information systems, or a related field. Familiarity with project management tools (such as Jira or Asana), data visualization platforms (like Tableau or Power BI), and relevant certifications (e.g., PMP, Agile, or data management certifications) is often expected. Excellent communication, leadership, and stakeholder management skills help drive cross-functional collaboration and align data initiatives with business goals. These competencies are crucial for successfully delivering data-driven projects, ensuring data integrity, and maximizing organizational value from data assets.

What are some common challenges data program managers face when coordinating cross-functional data projects?

Data Program Managers often encounter challenges such as aligning priorities across different teams, ensuring data quality and consistency, and managing dependencies between technical and business stakeholders. Effective communication and stakeholder management are essential, as projects typically involve collaboration among data engineers, analysts, product managers, and executives. Balancing the need for timely delivery with rigorous data governance standards is another key challenge, requiring strong organizational and problem-solving skills.

What is the difference between Data Program Manager vs Data Analyst?

AspectData Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Business, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; often no formal certifications required
Work EnvironmentOversees multiple projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare for managing data initiativesCommon across industries for data insights and reporting

The Data Program Manager focuses on overseeing data projects and managing teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong data skills, but the Program Manager has a broader scope involving project management and strategic planning.

What job categories do people searching Data Program Manager jobs in New Britain, CT look for?

The top searched job categories for Data Program Manager jobs in New Britain, CT are:

What cities near New Britain, CT are hiring for Data Program Manager jobs?

Cities near New Britain, CT with the most Data Program Manager job openings:

Technical Program Manager Gen AI

Hartford, CT • On-site

NAM Info Inc
Recruiting and Staffing Services • 51 - 200 employees

$130K - $168K/yr

Contractor

Re-posted 6 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