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IT Trainer / Program Manager

Cognizant

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IT Trainer / Program Manager

full-timePosted: Dec 7, 2025

Job Description

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary

We are seeking a dynamic and experienced IT Trainer / Program Manager to bridge the gap between our robust data capabilities and the organizational teams that utilize them. This role is crucial for ensuring successful adoption of data solutions, fostering data literacy, and managing the delivery of integrated analytical programs. The ideal candidate possesses exceptional instructional design skills, a deep understanding of the end-to-end data lifecycle, and proven program management expertise in a data-intensive environment.

In this role, you will:

Program Management Leadership

· Integrated Program Delivery: Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions.

· Stakeholder Alignment: Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes.

· Governance & Reporting: Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders.

· Resource Coordination: Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio.

Technical Training & Enablement

· Curriculum Design: Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes (e.g., data pipeline usage, self-service reporting, advanced analytics models).

· Instruction & Coaching: Deliver high-quality, engaging training sessions (both in-person and virtual) to diverse audiences, including Data Engineers, Analysts, and business end-users, promoting effective use of data assets.

· Data Literacy Advocacy: Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output.

· Effectiveness Measurement: Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms, using feedback to drive continuous improvement in training content.

What you need to have to be considered

· Program Management Acumen: Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics.

· Instructional Expertise: Strong background in technical training, instructional design, and adult learning principles. Ability to translate complex technical concepts (e.g., data transformation, pipeline logic, reporting architecture) into understandable training modules.

· Data Domain Knowledge: Deep conceptual understanding of the full data lifecycle, from ingestion and processing (data engineering) through data modeling and visualization (analytics and reporting). No specific technology knowledge required, but the ability to structure training around these concepts is essential.

· Communication & Influence: Exceptional communication, presentation, and interpersonal skills, with the ability to influence technical and non-technical teams without direct authority.

· Organizational & Analytical Skills: Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness.

#LI-EF1

#CB

#Ind123

Applications will be accepted until 8 Dec 2025.

Salary and Other Compensation:

The hourly salary for this position is between $[95,500-109,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions
  • Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes
  • Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders
  • Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio
  • Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes
  • Deliver high-quality, engaging training sessions to diverse audiences, including Data Engineers, Analysts, and business end-users
  • Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output
  • Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms

Required Qualifications

  • Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics
  • Strong background in technical training, instructional design, and adult learning principles
  • Deep conceptual understanding of the full data lifecycle, from ingestion and processing through data modeling and visualization
  • Exceptional communication, presentation, and interpersonal skills
  • Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness

Skills Required

  • Ability to translate complex technical concepts into understandable training modules
  • Ability to influence technical and non-technical teams without direct authority
  • Ability to structure training around data lifecycle concepts

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • No visa transfer or sponsorship available now or in the future
  • Applications will be accepted until 8 Dec 2025
  • Candidates may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

95,500 - 109,000 INR / yearly

Skills Required

  • Ability to translate complex technical concepts into understandable training modulesintermediate
  • Ability to influence technical and non-technical teams without direct authorityintermediate
  • Ability to structure training around data lifecycle conceptsintermediate

Required Qualifications

  • Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics (experience)
  • Strong background in technical training, instructional design, and adult learning principles (experience)
  • Deep conceptual understanding of the full data lifecycle, from ingestion and processing through data modeling and visualization (experience)
  • Exceptional communication, presentation, and interpersonal skills (experience)
  • Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness (experience)

Responsibilities

  • Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions
  • Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes
  • Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders
  • Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio
  • Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes
  • Deliver high-quality, engaging training sessions to diverse audiences, including Data Engineers, Analysts, and business end-users
  • Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output
  • Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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Cognizant logo

IT Trainer / Program Manager

Cognizant

Education Jobs

IT Trainer / Program Manager

full-timePosted: Dec 7, 2025

Job Description

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary

We are seeking a dynamic and experienced IT Trainer / Program Manager to bridge the gap between our robust data capabilities and the organizational teams that utilize them. This role is crucial for ensuring successful adoption of data solutions, fostering data literacy, and managing the delivery of integrated analytical programs. The ideal candidate possesses exceptional instructional design skills, a deep understanding of the end-to-end data lifecycle, and proven program management expertise in a data-intensive environment.

In this role, you will:

Program Management Leadership

· Integrated Program Delivery: Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions.

· Stakeholder Alignment: Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes.

· Governance & Reporting: Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders.

· Resource Coordination: Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio.

Technical Training & Enablement

· Curriculum Design: Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes (e.g., data pipeline usage, self-service reporting, advanced analytics models).

· Instruction & Coaching: Deliver high-quality, engaging training sessions (both in-person and virtual) to diverse audiences, including Data Engineers, Analysts, and business end-users, promoting effective use of data assets.

· Data Literacy Advocacy: Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output.

· Effectiveness Measurement: Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms, using feedback to drive continuous improvement in training content.

What you need to have to be considered

· Program Management Acumen: Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics.

· Instructional Expertise: Strong background in technical training, instructional design, and adult learning principles. Ability to translate complex technical concepts (e.g., data transformation, pipeline logic, reporting architecture) into understandable training modules.

· Data Domain Knowledge: Deep conceptual understanding of the full data lifecycle, from ingestion and processing (data engineering) through data modeling and visualization (analytics and reporting). No specific technology knowledge required, but the ability to structure training around these concepts is essential.

· Communication & Influence: Exceptional communication, presentation, and interpersonal skills, with the ability to influence technical and non-technical teams without direct authority.

· Organizational & Analytical Skills: Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness.

#LI-EF1

#CB

#Ind123

Applications will be accepted until 8 Dec 2025.

Salary and Other Compensation:

The hourly salary for this position is between $[95,500-109,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions
  • Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes
  • Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders
  • Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio
  • Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes
  • Deliver high-quality, engaging training sessions to diverse audiences, including Data Engineers, Analysts, and business end-users
  • Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output
  • Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms

Required Qualifications

  • Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics
  • Strong background in technical training, instructional design, and adult learning principles
  • Deep conceptual understanding of the full data lifecycle, from ingestion and processing through data modeling and visualization
  • Exceptional communication, presentation, and interpersonal skills
  • Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness

Skills Required

  • Ability to translate complex technical concepts into understandable training modules
  • Ability to influence technical and non-technical teams without direct authority
  • Ability to structure training around data lifecycle concepts

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • No visa transfer or sponsorship available now or in the future
  • Applications will be accepted until 8 Dec 2025
  • Candidates may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

95,500 - 109,000 INR / yearly

Skills Required

  • Ability to translate complex technical concepts into understandable training modulesintermediate
  • Ability to influence technical and non-technical teams without direct authorityintermediate
  • Ability to structure training around data lifecycle conceptsintermediate

Required Qualifications

  • Proven experience managing large, complex technical programs, preferably within the domains of Data Engineering, Business Intelligence, or Enterprise Analytics (experience)
  • Strong background in technical training, instructional design, and adult learning principles (experience)
  • Deep conceptual understanding of the full data lifecycle, from ingestion and processing through data modeling and visualization (experience)
  • Exceptional communication, presentation, and interpersonal skills (experience)
  • Highly organized, with the ability to manage multiple priorities simultaneously and use data to assess program performance and training effectiveness (experience)

Responsibilities

  • Lead the planning, execution, and closure of large-scale, cross-functional programs focused on delivering new data platforms, analytical capabilities, and enterprise reporting solutions
  • Manage communication and expectations with business leaders, data engineering teams, and end-users, ensuring program objectives align with strategic business outcomes
  • Define program metrics, track progress, manage risks, and provide clear, consistent status reporting to executive stakeholders
  • Manage program budgets, timelines, and resource allocation across multiple projects within the data and analytics portfolio
  • Develop and maintain comprehensive, role-specific training curricula and documentation for all data-related tools, systems, and processes
  • Deliver high-quality, engaging training sessions to diverse audiences, including Data Engineers, Analysts, and business end-users
  • Drive a culture of data literacy across the organization by developing accessible training on core concepts like data quality, data governance, and interpreting analytical output
  • Implement and manage mechanisms to evaluate the effectiveness of training programs and the adoption rate of new data platforms

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

Target Your Resume for "IT Trainer / Program Manager" , Cognizant

Get personalized recommendations to optimize your resume specifically for IT Trainer / Program Manager. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "IT Trainer / Program Manager" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for IT Trainer / Program Manager @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.