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Google Program Manager Jobs in Ridgefield, CT (NOW HIRING)

You may also be eligible to participate in a discretionary annual incentive program, subject to the ... and Google Cloud Platform, including integrations * Provide hands-on support for Databricks ...

Proficiency in Google Workspace, HubSpot, and event management platforms; ability to assess and implement tools to support program needs. * Strong analytical and communication skills, with the ...

Proficiency in Google Workspace, HubSpot, and event management platforms; ability to assess and implement tools to support program needs. * Strong analytical and communication skills, with the ...

Base salary and bonus program * Company vehicle for business and personal use * Medical, dental ... We will never contact you via Teams, Zoom, or Google Meets. If you qualify for an interview, the ...

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Google Program Manager information

See Ridgefield, CT salary details

$38.3K

$107K

$156.4K

How much do google program manager jobs pay per year?

As of May 31, 2026, the average yearly pay for google program manager in Ridgefield, CT is $107,025.00, 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 a Google Program Manager, and why are they important?

To thrive as a Google Program Manager, you need strong project management experience, cross-functional leadership skills, and often a degree in business, engineering, or a related field. Familiarity with tools like Google Workspace, project management software (e.g., Jira, Asana), and Agile or Scrum certifications is typically required. Exceptional communication, problem-solving, and stakeholder management abilities help you lead diverse teams and drive alignment. These skills are crucial for delivering complex projects on time and fostering collaboration in Google's fast-paced, innovative environment.

How does a Google Program Manager typically collaborate with cross-functional teams during large-scale projects?

As a Google Program Manager, you will regularly work with cross-functional teams that may include engineers, product managers, designers, and marketing specialists. Collaboration often involves facilitating meetings, aligning stakeholders on project goals, and resolving roadblocks to ensure timely delivery. You'll use strong communication and organizational skills to coordinate across diverse teams, balancing technical and business priorities. This collaborative approach helps ensure that all aspects of a project are addressed and that teams are aligned on deliverables and timelines.

What does a Google Program Manager do?

A Google Program Manager oversees complex projects and programs, coordinating between multiple teams to ensure successful planning, execution, and delivery. They work to define program goals, manage timelines, and communicate progress with stakeholders. Program Managers at Google often focus on cross-functional initiatives, bridging gaps between engineering, product, and business units. Their responsibilities include risk management, process improvement, and ensuring that projects align with company objectives.

What is the difference between Google Program Manager vs Google Product Manager?

AspectGoogle Program ManagerGoogle Product Manager
Required CredentialsBachelor's degree, PMP or similar certifications often preferredBachelor's degree, MBA or technical background often preferred
Work EnvironmentFocuses on coordinating multiple projects and teams across departmentsFocuses on product development, strategy, and user experience
Employer & Industry UsageCommon in tech companies managing large-scale initiativesCommon in tech companies leading product lifecycle and innovation
Search & Comparison IntentOften compared for project coordination and cross-team leadershipOften compared for product strategy and market impact

Google Program Managers primarily coordinate multiple projects and teams, ensuring timely delivery and alignment with company goals. In contrast, Google Product Managers focus on developing and managing products from conception to launch, emphasizing user needs and market fit. Both roles require strong communication skills and cross-functional collaboration, but they serve different strategic functions within the organization.

What job categories do people searching Google Program Manager jobs in Ridgefield, CT look for? The top searched job categories for Google Program Manager jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Google Program Manager jobs? Cities near Ridgefield, CT with the most Google Program Manager job openings:
Databricks Manager

Databricks Manager

Deloitte

Stamford, CT • On-site, Remote

Other

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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