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Capgemini

AI - Lead Analytics Solution Architect

Cairo, EG

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hirly's read of this role

Seniority
Lead / management
Country
EG
Work mode
On-site / unstated
First seen by hirly
29 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Company

Choosing Capgemini means choosing a company where you will be empowered to shape your career according to your aspirations. With the support and inspiration of a global community of experts, you will be able to reimagine your future. Join us to redefine the boundaries of what is possible, help unlock the value of technology for leading organizations, and contribute to building a more sustainable and inclusive world.

Your Role & Responsibilities:

We are seeking an AI - Lead Analytics Solution Architect to join our growing team in Egypt. In this role, you will be responsible for designing innovative AI-driven analytics solutions that address complex finance and operations challenges. You will collaborate with business stakeholders, delivery teams, and go-to-market functions to architect scalable solutions, support client engagements, and drive measurable business outcomes through data, analytics, and artificial intelligence.

As an AI - Lead Analytics Solution Architect, your main responsibilities will include

  • Collaborate with product, delivery, and business development teams to develop compelling analytics and AI solution proposals.
  • Lead the design and architecture of scalable, secure, and high-performance analytics solutions for Intelligent Finance & Accounts Operations (IFAO).
  • Translate business requirements into technical architectures, solution blueprints, and implementation roadmaps.
  • Design advanced reporting, analytics, forecasting, and decision-support solutions using modern cloud and data platforms.
  • Drive innovation by incorporating AI and Machine Learning use cases such as financial forecasting, spend analytics, inventory optimization, operational performance analytics, and risk management.
  • Collaborate with finance, operations, data engineering, and technology teams to deliver business-focused analytics solutions.
  • Support RFP responses, solution proposals, estimations, and go-to-market initiatives.
  • Ensure alignment with enterprise architecture standards, data governance frameworks, and compliance requirements.
  • Serve as a trusted advisor and technical authority for AI and analytics solutions during client engagements.
  • Develop reusable assets, accelerators, frameworks, and best practices to support future opportunities.
  • Mentor architects, analysts, and delivery teams while fostering a culture of innovation and excellence.
  • Build strong relationships with clients, partners, and key stakeholders.
  • Ensure solutions are scalable, maintainable, cost-optimized, and aligned with business objectives.
  • Stay current with emerging technologies and trends across AI, Generative AI, Agentic AI, cloud, and enterprise analytics platforms.

Your Profile

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.
  • 12+ years of experience designing and delivering enterprise analytics, data, AI or digital transformation solutions.
  • Strong experience architecting analytics solutions across Finance and Operations domains, including O2C, P2P, R2R, Financial Planning & Analysis, and related business processes.
  • Strong understanding of Intelligent Finance & Accounts Operations (IFAO), budgeting, forecasting, cost allocation, performance management, and financial operations.
  • Experience identifying and implementing AI and Machine Learning use cases to drive business value and operational efficiency.
  • Knowledge of analytics, BI, data integration, and cloud technologies including Power BI, Azure Synapse, Azure Machine Learning, and Azure Data Factory.
  • Experience working with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365 and integrating them with analytics solutions.
  • Strong understanding of data architecture, data modelling, data integration, and governance principles.
  • Experience responding to RFPs, developing solution proposals, and supporting go-to-market strategies.
  • Ability to assess and communicate business value, ROI, and financial impact of analytics and AI solutions.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent communication, presentation, and stakeholder management abilities.
  • Proven ability to lead cross-functional teams across business and technology functions.
  • Good understanding of emerging AI, Generative AI, and Agentic AI technologies.
  • Fluent English communication skills, both written and spoken.

Why Join Us?

  • Meaningful Impact: Contribute to innovative projects that help clients achieve their business and technology transformation goals.
  • Professional Growth: Access continuous learning opportunities, certifications, mentorship, and career development programs.
  • Global Exposure: Collaborate with diverse teams, clients, and stakeholders across industries and geographies.
  • Cutting-Edge Projects : Work with leading technologies, methodologies, and business solutions.
  • Collaborative Culture: Join an inclusive, supportive, and people-centric work environment.

Our Commitments and Priorities:

At Capgemini, we foster an inclusive culture within a diverse and multicultural environment. By joining us, you become part of a team that values diversity, develops talent, supports social impact initiatives, and actively contributes to reducing environmental impact across our operations and client engagements.

Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable future. With a strong heritage and a global presence across more than 50 countries, Capgemini delivers end-to-end services and solutions leveraging strengths in cloud, data, artificial intelligence, software, digital engineering, and platforms.

Original posting on Capgemini's site ↗

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