Gestionnaire & Chef de projet Data produits H/F

Related keywords: data science remote jobpublic health remote jobremote job project manager

Overview

The position available at CNAM in Paris is for a Data Product Manager and project leader, targeting professionals who can manage and execute strategic data projects effectively. This role is set within the Caisse Nationale de l'Assurance Maladie (National Health Insurance Fund), known for its significant role in protecting the health of over 60 million individuals through a robust data-driven approach. The Data and Information Technology Department (DIDD) is tasked with leading strategic data programs and ensuring the operation and hosting of vital decision-making resources. A notable responsibility within this department is the management of the Système National des Données de Santé (SNDS), representing one of the world’s largest health databases.

Key Responsibilities

In this position, you will be engaging in a variety of duties related to data management and product development, including:

• Defining the data product portfolio to align with organizational goals.
• Collaborating on the evolution of data platforms, ensuring they meet user needs and technological advancements.
• Coordinating technical vision, particularly in architecture, alongside IT architects and other technical leads.
• Managing reporting processes, alert systems, and participating in Data Governance bodies.
• Leading technological adoption through a well-defined Data roadmap.
• Promoting a ‘Data Product Culture’ within teams and staying informed about industry trends and advancements in technology.
• Engaging in Data Governance initiatives, ensuring compliance and strategic alignment of data initiatives.

Required Skills and Experience

To qualify for this role, applicants are expected to possess significant experience in project management and leadership in data-centric environments:

• 5 to 10 years of experience in managing large-scale data projects or strategic programs.
• Strong collaborative skills and an ability to work jointly with cross-functional teams within open ecosystems.
• Proficiency in technical architecture with a comprehensive understanding of the full data lifecycle.
• Experience in deploying workplace tools for data management, including data visualization, big data technologies, and data science frameworks.

Technical Environment

The required technical environment comprises various programming languages and tools, notably:

• Programming Languages: .NET, Java, Python, R, SAS, SQL, PL/SQL
• Data Storage Technologies: SQL, PostgreSQL, NoSQL (MongoDB, Elasticsearch), Exadata Oracle, and more
• Tools: Spark, Trino, Starburst
• Solutions: Apache Airflow, Git, Artifactory, Openshift, Docker, Zabbix
  This environment illustrates a robust structure conducive to data-driven decision-making and innovative data product development.

Educational Qualifications

Candidates should hold a degree in computer engineering or a master's in Data Science, or possess a comparable qualification to meet the expectations of the position.

Salary and Work Environment

Although the job advert provides minimal information concerning the salary, it mentions a minimum pay of €9,110, which sets a benchmark for potential candidates. The role encompasses several attractive work benefits that are aimed at improving employee well-being and work-life balance including:

• Flexible work arrangements with remote work options for up to 2 to 3 days a week and a generous annual leave policy.
• Opportunities for professional development within CNAM or its institutional network.
• Attractive social benefits including sports, leisure, and travel offerings.
• A nursery program support worth €9.11 or a place in their inter-company nursery.
• A sustainable mobility package worth €600 or a public transport reimbursement at 75%.
• Employees will receive assistance with meal provisions, such as restaurant vouchers supported at a 60% subsidy.

Company Culture and Values

The CNAM emphasizes a commitment to diversity of all forms and actively promotes adherence to non-discrimination principles. It aims to foster a balanced environment concerning gender equality and guarantee a high-quality workplace. Successful candidates must align with and respect the information security policies of the organization and must maintain professional confidentiality per organizational standards.

In conclusion, this position at CNAM not only represents a solid career opportunity for individuals experienced in data management and project leadership but also demands a commitment to collaborative solutions within a substantial public health setting. This unique blend of skills, professional expectations, and workplace benefits presents a compelling offer for the right candidate in the field of data science within the healthcare sector.

This job offer was originally published on jooble.com