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Analytics Program Manager Jobs in Windsor, CT (NOW HIRING)

As a Program Design Manager, you will be pivotal in refining and driving clarity in the business ... Exceptional analytical, organizational, and time management skills. * Strong critical thinking ...

The Senior Program Controls Manager will provide leadership and oversight for program controls ... Experience with digital program controls platforms, data analytics, and dashboard/reporting tools.

The Senior Program Controls Manager will provide leadership and oversight for program controls ... Experience with digital program controls platforms, data analytics, and dashboard/reporting tools.

The Senior Program Controls Manager will provide leadership and oversight for program controls ... Experience with digital program controls platforms, data analytics, and dashboard/reporting tools.

Showing results 21-40

Analytics Program Manager information

See Windsor, CT salary details

$38.3K

$107K

$156.3K

How much do analytics program manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for analytics program manager in Windsor, CT is $106,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $131,900.00 per year, depending on experience, location, and employer.

What is an analytics program manager?

Analytics Program Managers are professionals responsible for overseeing and coordinating analytics projects within an organization. They bridge the gap between business goals and data-driven insights, ensuring that analytics initiatives align with strategic objectives. These managers work closely with data analysts, engineers, and business stakeholders to plan, execute, and deliver analytics solutions that drive business value. Their role often includes managing project timelines, budgets, stakeholder communications, and the overall success of analytics programs.

How does an analytics program manager typically collaborate with cross-functional teams to drive data initiatives?

An Analytics Program Manager works closely with stakeholders such as data engineers, analysts, product managers, and business leaders to align analytics projects with organizational goals. They facilitate clear communication between technical and non-technical teams, ensuring that data solutions address real business needs. Regular check-ins, project updates, and cross-team workshops are common, helping to prioritize initiatives and resolve roadblocks efficiently. This collaborative approach ensures data-driven decisions are effectively implemented across the organization.

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

To excel as an Analytics Program Manager, you need strong project management abilities, experience in analytics or data science, and often a relevant degree such as in business, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), analytics platforms (such as Google Analytics), and project management software (like Jira or Asana) is typically required, and certifications like PMP or Agile are advantageous. Exceptional communication, leadership, and stakeholder management skills set top performers apart in this role. These competencies are crucial for successfully guiding analytics initiatives, aligning cross-functional teams, and delivering actionable insights that drive business value.

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

AspectAnalytics Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; certifications like PMP or Six Sigma beneficialBachelor's in Statistics, Mathematics, or related field; often certifications in data tools
Work EnvironmentLeads cross-functional teams, manages projects, strategic planningAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing analytics initiativesCommon in various industries for data interpretation and reporting

The Analytics Program Manager focuses on overseeing analytics projects, coordinating teams, and aligning analytics strategies with business goals. In contrast, Data Analysts primarily analyze data, generate reports, and support operational decisions. While both roles require strong analytical skills, the Program Manager role emphasizes project management and strategic oversight.

What are popular job titles related to Analytics Program Manager jobs in Windsor, CT?

For Analytics Program Manager jobs in Windsor, CT, the most frequently searched job titles are:

What job categories do people searching Analytics Program Manager jobs in Windsor, CT look for?

The top searched job categories for Analytics Program Manager jobs in Windsor, CT are:

Infographic showing various Analytics Program Manager job openings in Windsor, CT as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $106,979 per year, or $51.4 per hour.

Program Manager with GenAI at Hartford, CT

Tekshapers Inc

Hartford, CT • On-site

Other

Re-posted 7 days ago


Job description

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

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.