Information Technology Jobs in Burbank, IL

AI Strategist

Senior Director, Consulting & Delivery

Level & Department

The honest version of what's happening in enterprise AI in the middle market ($100M - $2B) right now is messy. Most organizations know they need to move. Very few have the leadership that can operate fluently at both ends of the problem… the C-suite conversation about investment rationale and the engineering conversation about whether the architecture can actually support what was just promised.

That gap is expensive and we've seen it in every sector we work in. It shows up the same way every time: smart strategy work that doesn't connect to anything deployable, or capable technical teams building things that never get funded or adopted.

The Principal AI Strategist role exists to close that gap on our most important engagements.

THE ROLE

What this position actually does

You are the senior-most strategy and delivery mind on a client engagement. You hold the intellectual and commercial thread across the entire lifecycle from the first diagnostic conversation through to a working AI system in production and the expansion that follows when the client realizes it's changing something real.

You are not the person who manages the team to do the thinking… you are responsible for the most strategic form of that thinking. You shape the strategy, challenge the architecture, own the executive relationship, and are personally accountable for whether the engagement creates measurable business value.

The title is Principal AI Strategist because that's the actual job. The level is Senior Director because that reflects the scope, accountability, and authority this role carries inside Quantum Rise and in front of clients.

OUR OPERATING PRINCIPLES

The intellectual framework you'll work inside

Quantum Rise operates from a set of principles we call Consulting 2.0. They define how engagements are structured, how we challenge client assumptions, and what we hold ourselves accountable to.

Think like an investor, not a technologist

AI value is relative to each client’s own goals / circumstances and capital is precious. We anchor every engagement to strategy → value streams → enterprise value. We don't start with use cases. We start with where the business makes and loses money, and work backward to where AI creates leverage.

• Map to where the work actually happens: We go to L4–L5 process depth where the task-level execution that explains KPI performance and reveals where AI readiness actually exists.
• Diagnose before prescribing: We use structured diagnostic lenses (process, data, systems) to move from visible symptoms to root causes.
• Data reality bounds AI ambition: What AI can reliably do is determined by the strength of the data foundation (architecture, integration, quality, consumption) not by model choice.
• Not all AI systems are created equal: Machine learning, LLMs, and agents introduce different capabilities, constraints, and operational trade-offs. Enterprise-ready agents specifically require probabilistic reasoning balanced with deterministic rules, structure, guardrails, and human oversight.
• Risk is predictable: Enterprise AI risk falls into defined categories: data privacy, bias, explainability, and governance. Principles define what good looks like; governance establishes ownership, decision rights, and escalation.
• Execution credibility matters as much as technical ambition: “Crawl”and MVP solutions that are in production beat “Run” enterprise-wide solutions that aren't.

RESPONSIBILITIES

What you own

Client strategy and delivery

• Lead end-to-end engagement execution from strategy and diagnostic through deployment and commercial expansion
• Run executive discovery sessions translating ambiguous business problems into structured AI investment rationales
• Build the business case with the rigor of an investor, not the optimism of a vendor: quantified value, honest constraints, sequenced roadmap
• Own the relationship with C-suite and senior client stakeholders as a peer, not a service provider

Technical leadership

• Apply working fluency in LLMs, agentic workflows, RAG architecture, and data infrastructure to make real design decisions ensuring the original business value is obtained
• Collaborate with engineering to challenge, refine, and pressure-test solutions against production realities
• Define AI product roadmaps that are incrementally value generating, governed, measured, and adopted

Firm development

• Identify capability and offering gaps where Quantum Rise can build durable competitive advantage
• Build reusable delivery IP (frameworks, playbooks, diagnostic tools) that improve every engagement that follows
• Develop and mentor the next generation of AI consultants on what it means to operate at the intersection of AI strategy and delivery
• Contribute to business development through the quality of your work and the depth of your client relationships

THE PROFILE

Who fits here

person who thrives in this role has a particular combination that's genuinely rare and we'd rather name it honestly than let both sides waste time discovering the mismatch.

Dimension: What this looks like in practice

Role identity: You think of yourself as a strategist who builds things, not a consultant who advises on them.

Technical depth: Hands-on with LLMs and agentic coding. You've debugged a pipeline at some point and don't need to be reminded why hallucination is an enterprise risk.

Business fluency: You can translate AI capability into a CFO-ready investment case without losing the technical precision that makes it credible.

Delivery record: 12+ years in management consulting or technical advisory with real end-to-end accountability from scoping through go-live. You are hyper customer service oriented.

Sector context: You have meaningfully operated across 3 discrete sectors learning to how effectively understand how money is actually made, customer and demand dynamics, how work gets done, regulatory constraints, etc.

Education: Engineering, CS, or MIS undergraduate foundation. MBA preferred. The combination matters and what makes the translation instinct natural. What matters is the ability to translate value creation into technology and vice versa.

Working style: You reach for the AI tool first because it's genuinely how you think and not just because we’re an AI consultancy.

BENEFITS

What we offer

• Competitive base salary + variable compensation tied to individual and company performance
• Equity options
• BCBS health, vision, and dental
• 401(k) with discretionary annual match
• FSA, DCA, commuter, and L&D stipends
• Unlimited PTO + paid holidays + paid sick time

Technical Sales Representative (MSP Sales Required)

Chicago, IL (60607 Hybrid after ramp)

Join a boutique, white-glove MSP with 25+ years in the Chicago market, known for high-touch service and long-term client relationships. This is a high-impact, revenue-driving role with urgency—ideal for a consultative MSP seller who can build pipeline and close new business quickly.

You’ll work directly with ownership and marketing to drive new MRR, run discovery, and translate IT solutions into business value.

What You’ll Do

• Own full sales cycle: prospecting, discovery, qualification, and closing
• Run consultative conversations around managed services, security, and cloud
• Partner with marketing on targeted outreach and pipeline generation
• Manage pipeline and activity in HubSpot (notes, follow-ups, deal stages)
• Drive new MRR (“seats”), projects, and long-term client relationships
• Bring in technical leadership only when needed for deeper validation

Must-Haves

• 3+ years MSP sales experience (required)
• Ability to confidently sell managed services without engineering support
• Strong discovery, qualification, and follow-up discipline
• CRM-driven (HubSpot preferred) and process-oriented

What Makes You a Great Fit

• Consultative, relationship-first sales approach
• Ability to translate technical concepts into business outcomes (risk, uptime, efficiency)
• Highly organized and comfortable managing longer sales cycles
• Thrives in a small, high-accountability environment

Compensation

$50k-$80k + commission-heavy structure (MRR-focused)

• % of MRR (monthly or first quarter) + project incentives
• Base flexible depending on experience

Benefits

100% employer-paid Health + Vision

Unlimited PTO

*This is a field sales position that requires you to be located and frequently travel to customers sites within the IL territory.

About the Company

Howard Technology Solutions is a rapidly expanding technology solutions provider for the Healthcare, K-12, Higher Education, Government and Commercial markets.

About the Role

The Higher Education Account Executive is responsible for the promotion and sale of technology solutions to Higher Education facilities within a designated territory. In addition to a strong background in technology, this individual will work with customers to determine their business requirements, create solutions and ensure a smooth sales process. This is a “results oriented” position that requires an organized, hardworking, self-driven, and focused individual determined to meet sales quotas.

Responsibilities

• Developing relationships with Technology Coordinators, CIOs, Network Administrators and Audio Visual Directors.
• Achieve territory sales quota.
• Actively and consistently prospect and develop new business.
• Build customer relationships.
• Conduct presentations and in-service trainings.
• Monthly forecasting.
• Plan personal work schedules, prioritizing work tasks and responsibilities.
• Complete weekly Sales Productivity Reports.
• Daily updates of CRM system.

Qualifications

• Four-year college degree from an accredited institution is preferred but not mandatory.

Required Skills

• Must be able to develop relationships.
• Strong desire to be in the technology sales segment.
• Corporate level proficiency in MS Word, Excel, PowerPoint, official e-mailing, and computer skills, etc.
• Presentable, courteous and pleasant personality.
• Exhibit a sense of urgency.
• Hardworking, sincere, honest, dedicated and self-achiever.
• Excellent verbal and written communication skills are required.

Pay range and compensation package

Base Pay + Commission

Equal Opportunity Statement

Equal Opportunity Employer Vet/Disabled

Our client is actively seeking a Scrum Master to support their growing team based out of Chicago, IL

This opportunity would be 1-2 days onsite per week in downtown Chicago, IL

Top 5 Skill sets

• Agile Dev life cycle
• Verbal and written Communication
• Organization(Project tracking, reporting)
• MS ADO or Jira expertise
• Experience in running large cross functional agile team for cloud native development

Nice to have skills or certifications:

• Certified Scrum Master
• Cloud Practitioner

Description:

• As Scrum Master, you play a key role in the definition, development, implementation, and ongoing improvement of Agile practices (with an emphasis on Scrum) within the organization.
• You will facilitate sprint planning, retrospective, and daily activities related to stand-ups and sprint burn down; as well as maintain relevant metrics that help the team see and understand their progress during a sprint. In this role you'll own and resolve identified impediments.
• You'll help build an environment where continuous deployment/ improvement of the development process is the focus and everyone's common goal is to deliver outstanding software as fast as possible to our customers.
• You will also own the Release planning and related ceremonies & communications.
• As Scrum Master you're responsible for leading the continual Agile transformation and practices as well as promoting accountability and transparency across all levels of the organization.

Site Reliability Engineer

Description and Requirements

About Our Team

We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the reliability engineering organization that powers cross‑device Personal AI.

We are hiring Site Reliability Engineers (SREs) to strengthen the reliability, observability, and operational excellence of Qira’s AI systems across device, edge, and cloud. Depending on your strengths, you may be aligned to areas such as Observability, Operations, or Service Reliability.

Works with the speed and creativity of a startup inside— you’ll help build foundational systems with clarity, ownership, and modern engineering practices.

Location: On-site in Chicago, IL. Hybrid (3 days on-site, 2 days remote)

What You Might Work On

As an SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:

Reliability & Systems Engineering

• Support the reliability, availability, and performance of distributed systems across cloud, edge, and device environments.
• Help define, measure, and monitor SLIs and SLOs for core services.
• Identify reliability risks and collaborate with senior engineers on mitigation plans.

Operational Excellence

• Participate in on‑call rotations and assist with incident response and post‑incident reviews.
• Contribute improvements to runbooks, automation, and tooling that reduce alert noise and operational toil.
• Help enhance detection, alerting, and response workflows.

Observability & Insight

• Implement and improve telemetry using OpenTelemetry, Grafana, and related tools.
• Build dashboards and tools that improve visibility into system health and AI service behavior.
• Ensure observability data is complete, accurate, and actionable.

Deployments & Change Safety

• Support safe, reliable deployment workflows including canaries, staged rollouts, and automated rollbacks.
• Assist in improving CI/CD systems and deployment tooling.

Collaboration & Best Practices

• Work closely with senior SREs, DevOps engineers, AI/ML teams, and platform engineers.
• Contribute to reliability reviews, operational readiness checks, and cross‑team projects.
• Advocate for modern SRE and DevOps practices within the organization.

Basic Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or production systems operations.
• Bachelor’s Degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• Foundational experience supporting distributed systems in production.
• Ability to write scripts or tools in Python, Go, Bash, or similar languages.
• Solid understanding of Linux systems, networking basics, and system performance fundamentals.
• Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
• Familiarity with monitoring/observability (metrics, logs, tracing).
• Experience with containers and Kubernetes.

Preferred Qualifications

• Experience with OpenTelemetry instrumentation and telemetry pipelines.
• Hands‑on experience with Grafana, Prometheus, Loki, or Tempo.
• Exposure to AI/ML systems, inference services, or data‑intensive workloads.
• Experience contributing to CI/CD processes and deployment automation.
• Familiarity with hybrid architectures spanning device, edge, and cloud.
• Passion for automation, reliability, and operational excellence.

What Success Looks Like

• Systems become easier to operate, observe, and trust.
• Alerts are more accurate and actionable.
• On‑call load decreases through thoughtful automation and improvements.
• Deployment workflows become more reliable and repeatable.
• You grow toward deeper ownership and technical leadership within the reliability engineering organization.

Director of AI

Location: Chicago, IL (Remote Eligible – must be US based)

Salary: $250,000 – 280,000 base + bonus

We’re partnering with a global education technology company undergoing a major transformation from a traditional publisher into a data and AI driven digital learning platform. The organization is investing heavily in AI and advanced data capabilities to deliver personalized learning experiences at global scale.

They are hiring a Director of AI to lead a team of AI researchers and data scientists responsible for developing and deploying advanced machine learning and Generative AI solutions across the enterprise.

The Role:

This is a highly strategic role that combines technical leadership, team management, and hands-on architectural oversight. The Director of AI will help define the long-term AI roadmap while working closely with product, engineering, and business stakeholders to bring production AI systems to life.

What you’ll do:

• Lead and grow a team of AI researchers and data scientists, providing technical mentorship and career development
• Define and execute the AI strategy and roadmap, with a strong focus on Generative AI capabilities
• Partner with product, engineering, and business teams to identify high-impact AI opportunities
• Oversee the design, development, and deployment of production-grade AI and ML systems
• Translate complex technical work into clear insights for both technical and executive stakeholders
• Manage project timelines, priorities, and team resources to ensure successful delivery of AI initiatives

What They’re Looking For

• PhD in Artificial Intelligence, Data Science, Computer Science, or a related technical field
• 8+ years of experience in AI, machine learning, or data science
• Proven experience leading teams of AI researchers or data scientists
• Deep expertise in machine learning, AI systems, and Generative AI technologies
• Strong communication skills with the ability to present technical concepts to senior leadership
• Experience collaborating cross-functionally with product, engineering, and business teams

Nice to Have

• Experience deploying Generative AI solutions in production environments
• Experience working in large-scale technology or digital product organizations
• Exposure to education technology or learning platforms

This role offers the opportunity to shape the AI strategy for a global platform impacting millions of learners worldwide, while leading a highly technical team working on cutting-edge machine learning systems.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location: Chicago, IL

It is a Hybrid role in Chicago, IL

Job Description

Role Overview

The Guidewire Senior Business Analyst / Functional Lead is responsible for leading requirements, functional design, and end‑to‑end solutioning across Guidewire applications (PolicyCenter, BillingCenter, ClaimCenter). This role works closely with business stakeholders, architects, technical teams, and QA to ensure successful delivery of Guidewire implementations and enhancements.

The Senior BA/Functional Lead provides domain expertise, drives requirement clarity, ensures alignment across teams, and often leads small functional pods within Guidewire programs.

Key Responsibilities

Business Requirements & Functional Analysis

Lead requirement‑gathering sessions with business users, SMEs, product owners, and underwriting/claims/billing teams.

Translate business needs into clear functional requirements, user stories, acceptance criteria, and workflows.

Analyze current‑state and future‑state processes; identify gaps and recommend optimal solutions.

Create functional specifications, process maps, BRDs/FRDs, and configuration requirements for Guidewire modules.

Guidewire Functional Leadership

Serve as the functional expert for PolicyCenter, BillingCenter, or ClaimCenter based on project needs.

Guide configuration teams on field changes, business rules, rating logic, questionnaires, underwriting rules, billing plans, claims transactions, and workflows.

Validate that designs align with Guidewire out‑of‑the‑box capabilities and recommend appropriate extensions when needed.

Support design discussions with technical architects, integration teams, and data teams.

Required Skills & Experience

12+ years of experience as a Business Analyst, with at least 3-5 years in Guidewire implementations.

Strong functional expertise in one or more Guidewire products:

PolicyCenter (UW, Rating, Product Model, Policy Transactions)

BillingCenter (Billing Plans, Payments, Invoicing, Delinquency)

ClaimCenter (FNOL, coverage validation, reserves, payments, recovery)

Strong understanding of P&C insurance domain (underwriting, policy, billing, claims).

Experience writing user stories, functional specs, and acceptance criteria in Agile environments.

Ability to lead functional teams and collaborate closely with architects, developers, and QA.

Strong proficiency in tools like Jira, Confluence, Visio, Excel, and Agile management tools.

Preferred Qualifications

Guidewire Business Analyst or Specialist certifications.

Experience with Guidewire Cloud or cloud transformation programs.

Knowledge of SQL, data analysis, and API/integration patterns.

Experience with rating engines, product configuration, or third‑party integrations."

The base compensation range for this role in the posted location is: 140,000 to 150,000

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.

Click the following link for more information on your rights as an Applicant in the United States. 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.

Location: Chicago / Jersey City (Remote for now)

6 months Contract Salary: DOE $52/hr. on w2 only US citizens and Green Card only, No third Party

10+ years of program management, project management and delivery experience

Certified SAFe practitioner

Must have experience of delivering data projects including data visualization, reporting

Before applying please note that this position requires US citizenship due to government related contracts

Job Title: Project Coordinator / Program Operations Specialist

Location: Chicago, IL

Pay Rate: $75 to $90.81 per hour

Duration: 12 months (Possible extension)

Job Description:

The Project Coordinator serves as the primary point of contact for one or more projects, ensuring effective coordination, communication, and execution of all project-related activities. This role supports early-stage project planning, interval coordination, deliverables management, and ongoing project support to ensure milestones are completed on time. The position requires strong analytical skills, cross-functional collaboration, and a proactive approach to identifying process improvements and resolving project risks or gaps.

Key Responsibilities:

Project Coordination and Execution:

• Serve as the primary interface for assigned projects.
• Engage early in project intervals, deliverables, and support requirements.
• Ensure execution of all key milestones to support on-time project delivery.

Process Improvement:

• Identify opportunities to enhance efficiency and apply best practices.
• Provide recommendations that support program development and execution.

Cross-Functional Communication:

• Communicate and collaborate with stakeholders at all organizational levels, including senior leadership.
• Lead weekly team meetings with project stakeholders and drive accountability for next steps and action items.
• Prepare and present weekly program summaries, including project status updates and resolution plans.

Issue, Risk, and Gap Management:

• Proactively identify project risks, issues, and gaps.
• Escalate concerns as needed and drive resolution to closure.
• Develop mitigation plans to address potential risks and delays.

Data Integrity and Analytics:

• Maintain accurate data within internal and external procurement databases.
• Use analytics tools to monitor supplier performance and identify compliance risks or operational bottlenecks.

Timeline and Documentation Management:

• Develop and maintain project timelines for legal documentation status, application progress, project milestones, and issue tracking.
• Document outputs from weekly team meetings and distribute updates to stakeholders.

Basic Requirements:

• Bachelor's degree in Business Administration, Project Management, or a related field.
• 4 to 7 years of procurement experience, including both direct and indirect spend.
• Strong analytical background with proficiency in data management and analysis tools.
• Legal authorization to work in the United States indefinitely.

Required Experience:

• General procurement and supply chain experience.
• Google Suite: Google Sheets, Google Docs, Google Slides.
• Microsoft Office: Excel, Word, PowerPoint, Outlook.
• Tableau experience creating dashboards, reports, and data visualizations.

Preferred Skills:

• Coupa
• MTCM
• Agile ERP systems
• Oracle ERP systems

Preferred Certifications:

• PMP (Project Management Professional) certification is a plus.
• CAPM (Certified Associate in Project Management) certification is a plus.

Preferred Qualifications:

• Experience with international trade and global regulatory environments.
• Demonstrated ability to manage complex projects and cross-functional teams.
• Expertise in data visualization and advanced analytical modeling.
• Strong written and verbal communication skills.

Additional Preferred Experience:

• Experience working on federal contracts and familiarity with federal contract regulations is a strong plus.

Who We Are

SGF Global is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services across a wide range of industries in 35 countries. We're a dynamic, people-first organization where fresh ideas are always welcome. Our culture is built on collaboration, innovation, and a genuine passion for helping people grow. At SGF Global, smiles are part of the dress code, and every voice matters.

Are you looking to join an organization where your ideas are valued, your growth is supported, and your work makes a global impact?

• Explore opportunities
• Grow your career
• Be part of something global
• Your future starts here.