Data / IA Project Manager - Côte D´Ivory (M/F)

We are looking for a Data Project Manager to join our team. This position involves the complete management of data projects, from the scoping and design phase to the deployment and production of data solutions. The candidate guarantees the respect of deadlines, costs and quality of deliverables such as pipelines, analytical platforms, dashboards and models. It also ensures coordination between business, technical and external stakeholders around data, while managing artificial intelligence and machine learning projects, from the qualification of use cases to their industrialization and follow-up in production (MLOps), in accordance with ethical and data governance requirements.

Main duties

Oversee the execution of data projects, ensuring compliance with deadlines, budgets and quality of deliverables, including data collection, integration, modeling and reporting. Implement data-driven project management best practices, including methodology, planning, monitoring, reporting and managing data quality risks. Manage the relationship with the Data Engineering, Data Science and Business Intelligence teams to ensure the consistency of architectures and deliverables between projects. Ensure effective communication with all stakeholders, including business, technical, customer and data solution providers. Organize and facilitate follow-up meetings, prepare the necessary documents and manage the drafting of reports. To popularize the technical issues related to data with non-technical interlocutors in order to facilitate decision making. Participate in the definition and implementation of standardized data project management processes, integrating governance, quality and data security. Identify opportunities for process improvement and propose initiatives to optimize the efficiency, reliability and performance of deployed solutions. To supervise the qualification of use cases in artificial intelligence and machine learning: analyze needs, assess feasibility and business value, and analyse available data. Manage the complete lifecycle of AI models, from experimentation to validation, deployment, monitoring and re-training, using MLOps practices. Coordinate the Data Science and MLOps teams, and ensure the integration of models into business systems and processes. Ensure the ethical and regulatory compliance of AI solutions, ensuring rigorous governance of models.

Other information

Stay informed of technological advances in AI, including generative AI and large language models (LLMs), and assess their relevance to the organization.

Candidate profile

Education / Qualifications

We are looking for a highly qualified professional with strong experience in data, business intelligence (BI) and information systems project management, with specific expertise in the design and implementation of advanced data platforms. Experience and training: Diploma of Bac level+4 or higher in computer science, data science, statistics, engineering or an equivalent field. At least 5 years of professional experience in data, BI or information systems project management, with significant experience in deploying data platforms. General knowledge of data architecture, cloud infrastructure, and digital service platforms. Data lifecycle control: collection, integration (ETL/ELT), storage (data warehouse, data lake), quality management and reporting (BI). Proven competence in integrating data solutions and interfacing them with existing systems.

Experience

Experience or understanding of artificial intelligence and machine learning projects, including their operational deployment (MLOps). Knowledge of ethical and regulatory issues related to AI. Technical skills: Mastery of project management tools such as MS Project, Jira, OrangeScrum, etc. Good knowledge of Agile and DevOps environments applied to data projects (DataOps). Data manipulation skills with SQL, Python and/or R. In-depth knowledge of data platforms: data warehouses, ETL/ELT tools, visualization tools like Power BI, Tableau or equivalent.

Other information

Strong understanding of data architectures, IT infrastructure, as well as data governance and security principles. Knowledge of machine learning frameworks and libraries (e.g. scikit-learn, TensorFlow, PyTorch) and MLOps principles (versioning, monitoring, model industrialization). Concepts on generative AI, large language models (LLM) and their use cases in business. Soft skills: Excellent analytical skills, strong intellectual curiosity and global vision. Analytical mind, ability to solve complex problems. Methodical, rigorous and autonomous in the management of daily tasks. Organizational sense, planning capacity and priority management.

Responsibilities

Stress resistance, effective management of multiple responsibilities simultaneously. Strong spirit of initiative, autonomy in work. Constant willingness to learn and ability to adapt to new technologies and methods related to data. Relational qualities: Leadership, ability to motivate a team and bring stakeholders together. Excellent oral and written communication skills. Sociability, good relationship and active listening. Team spirit, effective collaboration with various interlocutors. Humility, perseverance and assertive customer orientation. Advantages appreciated: Certifications in project management (PMP, PRINCE2) or agile methods (Scrum, SAFe). Experience on a cloud platform (Azure, AWS or GCP) and its data/AI services. Experience putting AI solutions into production on a large scale. Languages: French: fluent (oral and written). English: professional level (reading, writing and operational communication).

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