Data & AI Project Manager

• Minimum 7 years of professional experience in technological project management in complex corporate environments.
• Minimum 5 years of specific experience leading projects related to Data, Analytics, Artificial Intelligence, Cloud, or Automation.
• Demonstrable experience leading end-to-end projects, from requirements definition and solution design to deployment, adoption, and transition to operations.
• Experience simultaneously coordinating technical teams, business areas, architecture, security, infrastructure, and technology vendors.
• Experience managing projects with dependencies between different platforms, corporate systems, and integrations.
• Experience in economic management of projects, capacity planning, risk management, executive reporting, and vendor monitoring.
• Experience working with predictive, agile, and hybrid methodologies depending on the characteristics of the project.
• Solid knowledge of Cloud architectures, especially Microsoft Azure, including concepts of identity, security, networks, storage, integration, monitoring, and governance.
• Knowledge of modern data architectures: Data Lake, Lakehouse, Data Warehouse, ETL/ELT, pipelines, orchestration, data modeling, and data quality.
• Knowledge of Data & Analytics platforms such as Microsoft Fabric, Snowflake, Databricks, or equivalent technologies.
• Practical knowledge of Business Intelligence tools, especially Microsoft Power BI.
• Knowledge of Artificial Intelligence and Generative AI architectures and solutions, including LLM, RAG, agents, embeddings, semantic search, evaluation, and observability of AI solutions.
• Knowledge of the Microsoft ecosystem for Artificial Intelligence solutions, including Microsoft Foundry, Azure OpenAI, Azure AI Search, and related services.
• Knowledge of integration architectures through APIs, services, events, and information exchange mechanisms between systems.
• Knowledge of DevOps, DataOps, and MLOps concepts and the processes associated with the development, testing, deployment, and operation lifecycle of solutions.
• Ability to interpret technical architectures, solution diagrams, data models, APIs, and technical documentation, and translate their implications into project planning, risks, costs, and dependencies.
• Knowledge of governance, security, privacy, data protection, and Responsible AI principles applicable to Data & AI solutions.

Requirements:

• Current Project Management Professional (PMP®) certification issued by the Project Management Institute (PMI), or an equivalent advanced-level certification in professional project management.
• At least one current technical certification at Associate, Expert, or equivalent level related to Cloud, Data, or Artificial Intelligence.
• Strong communication and stakeholder management skills.
• Ability to connect business needs with technical teams.
• Organizational and prioritization skills in demanding environments.
• Results-oriented and problem-solving mindset.
• Analytical skills and decision-making.
• Ability to simultaneously manage different initiatives and dependencies.
• Proactive, autonomous, and committed to continuous improvement.

Certifications such as the following will be considered especially relevant:

• Microsoft Certified: Azure AI Apps and Agents Developer Associate.
• Microsoft Certified: Fabric Data Engineer Associate.
• Microsoft Certified: Fabric Analytics Engineer Associate.
• Microsoft Certified: Azure Solutions Architect Expert.
• Other equivalent technical certifications from relevant manufacturers in the Cloud, Data, or Artificial Intelligence field.
• High level of English, with the ability to hold technical and professional meetings, manage international vendors, and work with specialized documentation.
• University degree in Engineering, Computer Science, Telecommunications, Mathematics, Economics, Business Administration, or disciplines related to technology and management.
• Ability to operate autonomously in technical conversations with architects, data engineers, Cloud specialists, developers, and Artificial Intelligence teams, without the need to perform development functions.

• Lead Data & AI projects from their definition to their production deployment.
• Define scope, planning, resources, dependencies, and deliverables.
• Ensure fulfillment of objectives, deadlines, budget, and quality.
• Manage risks, blockers, and scope changes.
• Gather and structure needs from business areas.
• Evaluate initiatives according to impact, effort, complexity, and expected value.
• Participate in the prioritization and planning of the Data & AI portfolio.
• Maintain visibility over capacity, planning, and the status of initiatives.
• Perform monitoring of progress, milestones, risks, costs, and deviations.
• Prepare executive reporting and facilitate decision-making.
• Actively participate in the departmental PMO, contributing to the global planning, prioritization, and monitoring of the portfolio.
• Guarantee the quality of information, documentation, and project indicators.
• Act as a connection point between the business and the Data & AI teams.
• Translate business needs into executable initiatives together with the technical teams.
• Manage expectations, priorities, and commitments.
• Facilitate the adoption of implemented solutions.
• Coordinate multidisciplinary teams in data, analytics, AI, automation, and technology.
• Manage vendors and partners involved in the initiatives.
• Coordinate analysis, development, testing, deployment, and production deployment.
• Ensure the quality of deliveries and the transfer of knowledge to the maintenance teams.
• Ensure that solutions generate the expected value for the business.
• Define and monitor success and adoption criteria.
• Coordinate applicable governance, security, privacy, and compliance requirements.
• Identify continuous improvement opportunities in solutions and processes.