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Program Manager Data Analytics Jobs in Connecticut

Manage and mentor the data and analytics team, and provide guidance, direction, and support for ... We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per ...

Manage data aggregation and reinsurance submissions. Support profitable growth by aligning analytics with business strategy, optimizing underwriting decisions through automation and robust pricing ...

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... Strong project management and communication skills * Demonstrated flexibility, adaptability, and ...

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Program Manager Data Analytics information

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in Connecticut? For Program Manager Data Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Connecticut look for? The top searched job categories for Program Manager Data Analytics jobs in Connecticut are:
What cities in Connecticut are hiring for Program Manager Data Analytics jobs? Cities in Connecticut with the most Program Manager Data Analytics job openings:
Operations Senior Manager Data Analytics (Hybrid)

Operations Senior Manager Data Analytics (Hybrid)

Raytheon Technologies

Farmington, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Date Posted:
2026-01-08
Country:
United States of America
Location:
UT6: 4 Farm Springs 4 Farm Springs Road, Farmington, CT, 06032 USA
Position Role Type:
Unspecified
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of "U.S. Person" go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance:
None/Not Required
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
The following position is to join our RTX Corporate team:
Position Overview:
This role will support key strategic operations and supply chain initiatives across RTX and play a critical role honing the precision of our global operations. The ideal candidate has a consulting mindset, thrives in a problem-solving environment, and demonstrates the ability to work collaboratively with cross-functional teams to drive meaningful impact. Candidates with experience in financial planning and analysis (FP&A), strategy consulting, and supply chain or manufacturing operations will excel in this role.
What You Will Do:
  • Problem Solving and Analytical Insight:
    • Apply a structured problem-solving approach to diagnose challenges, identify opportunities, and develop actionable solutions for complex business challenges.
    • Synthesize large datasets and unstructured information into meaningful insights that support strategic decision-making.
    • Leverage advanced analytics tools and techniques to uncover opportunities for operational optimization and cost reduction.

  • Strategic Thinking:
    • Collaborate and consult with stakeholders to shape strategic priorities and align initiatives with organizational goals.
    • Contribute to the development of business cases and strategy roadmaps for high-impact projects.

  • Collaborative Engagement:
    • Work closely with cross-functional teams, including finance, operations, and supply chain, to ensure alignment on project objectives and deliverables.
    • Collaborate with cross-functional teams through the operations council framework to translate data insights into efficient, scalable actions.
    • Facilitate workshops and discussions leveraging our CORE operating model to guide teams through recommendations.

  • Presentation and Communication:
    • Translate complex analysis into clear, compelling narratives and recommendations for senior leadership.
    • Develop high-quality presentations and reports that effectively communicate insights and strategic recommendations.

Qualifications You Must Have:
  • Bachelor's degree in Business, Supply Chain Management, Finance, Analytics, Engineering, or related field (Master's degree preferred).
  • Minimum of 10 years of experience (7 years with advanced degree) working in in data analysis, FP&A, strategy consulting, applied to Supply Chain/Operations/Manufacturing

Qualifications We Prefer:
  • Demonstrated ability to solve complex problems using structured frameworks and methodologies.
  • Exceptional communication and interpersonal skills with the ability to influence and collaborate effectively across teams.
  • Strong business acumen with proven record for delivering measurable impact.
  • Experience at a consulting firm or in a strategy-focused role within a multinational organization.
  • Proven ability to manage multiple priorities and deliver results in a dynamic environment.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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