GCP Technical Project Manager

Capgemini; Chicago (IL); On-site; USD 119,392 - 174,088; Full time

Benefits offered by this job

Capgemini compensation and benefits

Job summary

Capgemini seeks a senior leader to head global data operations in a hybrid Chicago-based role. You will steer 24x7 production support, incident management, and platform deployments across AWS and GCP, ensuring reliability and cost governance.

You will collaborate with cross-functional teams to drive AI-enabled automation and operational excellence. Key duties include budgeting, resource planning, and delivering innovative proofs-of-concept that modernize data platforms while meeting SLA/SLO

Qualifications

• Experience leading large cloud data operations and production support teams.
• Strong understanding of modern data platforms, cloud-native architectures, and reliability engineering.
• Proven track record in delivering AI prototypes and automation programs.
• Experience managing operational budgets and cost optimization.

Responsibilities

• Lead global data operations teams and provide 24x7 support coverages.
• Manage production incidents, root-cause analysis, and service restoration.
• Oversee deployments, release validation, rollback processes, and data pipelines.
• Drive observability, monitoring, automation, and operational excellence initiatives.
• Partner with engineering, DevOps, architecture, security, and stakeholders.
• Lead governance, SLA/SLO management, budgeting, and cloud spend governance.
• Develop POCs, AI-driven prototypes, and automation solutions to improve efficiency.

Skills

Leadership

Global team leadership

Cloud data platforms

Observability

FinOps awareness

Education

Bachelor's degree in a related field

Tools

AWS

S3

EMR

Redshift

Dataflow

Vertex AI

Job description

This full time position work hybrid in downtown Chicago. Working 100% remote is not an option

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Key Responsibilities

• Lead global data operations teams and provide 24x7 support coverages
• Manage production incidents, root-cause analysis, and service restoration.
• Oversee production deployments, release validation, and rollback processes.Support real-time and batch data pipelines.Ensure availability, scalability, and reliability of cloud data platforms across AWS and Google Cloud Platform (GCP).Drive observability, monitoring, alerting, automation, and operational excellence initiatives.
• Partner with engineering, DevOps, architecture, security, product, and business stakeholders.
• Lead operational governance, SLA/SLO management, compliance, and continuous improvement programs. Champion innovation by identifying opportunities to modernize platforms, optimize operations, and adopt emerging technologies.
• Develop and lead proof-of-concepts (POCs), AI-driven prototypes, and automation solutions to improve operational efficiency and business outcomes. Evaluate and implement AI/ML, Generative AI, and intelligent automation capabilities within data operations and platform support functions.
• Manage engagement financials, including budgeting, forecasting, resource utilization, cost optimization, vendor management, and cloud spend governance. Track and report operational KPIs, service performance metrics, and financial targets to executive leadership.
• AWS
• S3EMR
• Redshift
• Dataflow
• Vertex AICloud Monitoring

Data Technologies

• Kafka Kinesis
• Google Pub/Sub
• Talend
• dbt
• ETL/ELT frameworks
• Data warehouse and data lake architectures
• Real-time streaming and event-driven architectures
• Hands-on AI prototyping and proof-of-concept development
• Generative AI solutions and use case identificationAI-assisted operations
• (AIOps)Intelligent automation and workflow orchestration
• Prompt engineering and AI solution experimentation

Ability to evaluate emerging technologies and drive innovation initiatives

Leadership & Business Management

• Global team leadership
• Operational governance
• SLA/SLO management
• Engagement financials management
• Budgeting and forecasting
• Resource planning and utilization management
• Cloud cost optimization and FinOps practices
• Continuous improvement and transformation leadership

Preferred Qualifications

• Experience leading large-scale cloud data operations and production support organizations. Strong understanding of modern data platforms, cloud-native architectures, and reliability engineering.
• Demonstrated experience delivering AI prototypes, innovation initiatives, and automation programs that drive measurable business value.
• Proven track record managing operational budgets, engagement financials, and cost optimization programs.
• Experience working in complex, global, matrixed environments with executive stakeholder engagement.

The base compensation range for this role in the posted location is $119,392 to $174,088.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.