Presales Solution Manager

About Atos Group

Roles & Responsibilities

• Strategic Visioning Assess and collaborate with customer CXOs and Technology Leaders in leading and building business outcome-driven technological transformational vision, SMART objectives, green/brown field strategies, and program charters.
• Enterprise Architecture Leadership Define, design, and govern the Enterprise Architecture (business, technical data, AI & security) leveraging frameworks like TOGAF and Zachman 5to produce strategic blueprints.
• Feasibility & Modernization Conduct detailed feasibility analysis (including the 6R Modernization model, Greenfield/Brownfield assessment) 7to define and guide MVP-based roadmaps.
• Program Definition Create business cases for multi-year programs, defining MVP-based roadmaps and wave-based rollouts through agile/waterfall/hybrid delivery models.
• Compliance & Security Ensure the strategic blueprint is regulatory-compliant, such as PDPL, CCRF, NCA, GDPR, and ISO 27001.

In Opportunity to Contract (O2C)

• Partnership Partner with Account Executives and Sales Leaders to drive Atos’ strategic logos/accounts and proactively establish strong, influential customer engagement to win and deliver contracts
• Value Realization Lead Customer requirements and RFI/RFP/RFQ responses promptly to deliver end-to-end futuristic Solutions for the exact scope with Atos’ USPs, ensuring focus on key commercial metrics, including T2V, TTM, TCO, xLAs, quality, cost, and profitability.
• Portfolio & Partnerships Drive the Atos Offering Portfolios and utilize Atos’ strategic global and local technology product and service partnerships.

Key Deliverables & Expected Outcomes

• The following are the deliverables to customers as part of the assessments and solutions.
• Architectural Artifacts Creation and presentation of comprehensive Atos Portfolios & Capabilities aligned to customers’ vision, Business Requirements, Strategy architecture blueprints, and security models.
• Business Cases Development of detailed business cases, including Business Values, Total Cost of Ownership (TCO), and Return on Investment (ROI).
• Roadmap Execution Definition of MVP-based roadmaps and wave-based rollouts.

Technical & Architectural Skills

• Overall Industry Experience 15+ years in IT with a minimum of 5 years in senior Data, AI/ML, or Enterprise Architecture roles.
• Data & AI Architecture Strong capability in designing end-to-end Data, AI/ML, and GenAI architectures including ingestion, processing, storage, AI pipelines, model deployment, and governance.
• Cloud & Data Platforms Expertise in AWS, Azure, GCP, and modern data platforms such as Hadoop, Spark, Snowflake, Databricks, and cloud-native data services.
• AI/ML & GenAI Platforms Hands-on knowledge of Azure ML, SageMaker, TensorFlow, PyTorch, LangChain, Jupyter, MLflow , vector databases, RAG architectures, and frameworks supporting Agentic AI, GenAI/ML platforms, LLM models.
• Data Platform Skills Delta Lake, Kafka, Synapse, BigQuery, Redshift, other data tools
• Languages Python (ML + automation), SQL (analytics), Spark/Scala (big data workloads)
• Governance, Ethics & Compliance Strong understanding of SDAIA, NDMO, PDPL, CCRF, and global frameworks like DAMA, GDPR, OECD, with the ability to embed compliance into architecture design.
• Integration & Orchestration Proficiency in APIs, Microservices, Kubernetes, Docker, event-streaming platforms, workflow orchestration for AI pipelines, and scalable MLOps/GenOps solutions.
• Security & Risk Controls Working knowledge of ISO 27001, NIST, NCA, NDGP, SAMA IT and secure-by-design principles for Data & AI workloads.
• Industry Knowledge Deep experience in architecting Data & AI use cases for Government/Public Sector, Financial Services, Energy/Utilities, and Aviation, especially in the KSA landscape.
• Key Platforms & Products Exposure to regional and enterprise AI ecosystems such as Sawaher Platform, FOCAL, Anything.ai, OmniServe, and similar AI accelerators.

Data Services

• Data Architecture & Platform Engineering Designing modern data platforms, lakehouses, and data mesh architectures aligned with business KPIs.
• Data Modernization & Migration Transforming legacy platforms into cloud-native, scalable, and secure data environments.
• Data Governance & MDM Implement governance, data quality, metadata management, lineage, cataloging, and master data frameworks aligned with SDAIA/NDMO.
• Analytics, BI & Insights Build advanced dashboards, analytical models, and AI-driven insights using ML, predictive analytics, and data science workflows.
• DataOps Implement CI/CD for data pipelines, monitoring, observability, and automated data quality checks for reliable operations.

AI Services

• AI-driven Automation Intelligent Document Processing (IDP), Computer Vision pipelines, Conversational AI, NLP/NLU platforms.
• GenAI & Agentic AI Enterprise GenAI apps, RAG architectures, vector search, prompt engineering, and AI agents for task orchestration.
• MLOps / GenOps End-to-end model lifecycle management covering training, deployment, versioning, monitoring, explainability, and drift detection.
• Edge AI & AI Reliability Low-latency AI inference at the edge; AI testing frameworks to mitigate adversarial attacks, data poisoning, bias, and model leakage.

Data & AI Advisory

• Conduct Data/AI maturity assessments, capability gap analysis, and risk evaluations.
• Define AI and Data strategy, investment priorities, and transformation roadmaps aligned with business objectives and KSA regulatory constraints.

Industry Data & AI Solutions

• Architect and deliver sector-specific Data & AI solutions addressing domain challenges in Government, Smart Cities, Healthcare, BFSI, Energy, and Aviation.

Essential Soft Skills

• Communication & Presentation Exceptional verbal and written communication skills, including the ability to conduct impactful workshops, high-stakes presentations, and Convergence Views for executive audiences.
• Strategic Leadership Ability to lead cross-functional teams through vision and influence.
• Stakeholder Management Proven ability to build strong, influential relationships with CXOs, Sales, and Engineering teams.

For Customers,

• the following are the KPIs & Success Metrics of consulting and solutions.
• TCO/ROI Accuracy Accuracy of estimated TCO and ROI in approved business cases versus actual program performance.
• T2V/TTM Improvement Demonstrated reduction in Time to Value (T2V) and Time to Market (TTM) for key transformation programs.
• Compliance Adherence Zero critical compliance or regulatory breaches attributable to the solution blueprint.
• Stakeholder Alignment Score Internal and external feedback score reflecting the effectiveness of engagement and alignment.

For Atos,

• the following are the Pre-sales excellence KPIs and Success Metrics
• Business Growth Order Entry, Revenue, Profitability (PM & OM), and Customer Satisfaction for all the deals
• Efficiency and Effectiveness Delivering quality solutions and value adds as part of the solution with proactive offerings and partnerships.
• Win Rate for Strategic Accounts Percentage of RFI/RFP/RFQ responses that result in a successful contract award.
• Here at Atos, diversity and inclusion are embedded in our DNA.
• Read more about our commitment to a fair work environment for all.
• Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria.
• Find out more on our CSR commitment.
• Choose your future.
• Choose Atos.