Sr Director, Data Management and Platform

Company Description

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

Job Description

LDC is seeking a highly experienced and strategic Senior Director, Data Management and Platform to lead the company's data management function and drive the evolution of our data platform. This critical leadership role will be responsible for establishing and executing a comprehensive data strategy that ensures the quality, accessibility, security, and governance of all LDC's data assets. The successful candidate will have a proven track record of building and managing high-performing data teams, implementing robust data governance frameworks, and delivering modern, scalable data platforms. This role is vital to supporting LDC's strategic objectives, particularly in the areas of trading, research, risk management and operational efficiency.

The Senior Director will report to the Global Head of Data Science and Analytics and will be a key member of the Analytics Leadership Team. This position has large budget and people accountability and will involve regular interactions with the company's Executive Team, including the CEO, CFO, and CIO.

Key Responsibilities:

• Data Strategy & Vision: Develop and implement a comprehensive data strategy aligned with LDC's overall business objectives. Define the long-term vision for data at LDC, including data architecture, technology stack, and data governance principles and practices
• Data Governance: Establish and maintain a robust data governance framework encompassing data quality, data security, data privacy and data access controls. Implement policies and procedures for data certification, metadata management, and master data management.
• Data Management: Oversee all aspects of data management, including data cataloging, data quality management, data lineage, data integration, and data warehousing. Ensure data accuracy, completeness, consistency, and timeliness across all data domains. Ensure data governance is embedded at the core data infrastructure.
• Data Platform: Lead the design, development, and maintenance of LDC's data platform, including data lakes, data warehouses, and other data infrastructure components. Ensure the platform is scalable, reliable, secure, and supports the diverse data needs of the organization. We are constantly investing in keeping our data platform at the latest standards.
• Metadata Management: Implement a comprehensive metadata management system to provide clear definitions, lineage, and context for all data assets. Ensure metadata is actively managed and utilized to improve data discovery, understanding, and trust.
• Master Data Management (MDM): Oversee the MDM program to create and maintain a single, authoritative source of truth for critical business entities (e.g., counterparties, products, locations).
• Data Quality: Define and implement data quality metrics and Key Performance Indicators (KPIs) to monitor and improve data quality across all data types (time series, operational, geospatial, unstructured). Drive a culture of data quality awareness and accountability throughout the organization.
• Data Integration: Ensure robust integration framework for all external and internal data sources
• Team Leadership: Build, mentor, and lead a high-performing team of data engineers, data architects, data stewards, and data governance specialists. Foster a collaborative and innovative team environment.
• Stakeholder Management: Collaborate effectively with stakeholders across the organization (technology, commercial teams, research, risk management) to understand their data needs and ensure the data platform and governance framework meet those needs.
• Technology Evaluation: Continuously evaluate and recommend new data management technologies and tools to improve efficiency, enhance data capabilities, and drive innovation.
• Budget Management: Manage the data management and platform budget, ensuring cost-effective utilization of resources across the organization
• Data Scorecard: Actively manage and contribute to the company wide data scorecard, focusing on data completeness and accuracy across the key data
• Data Science Workbench Management: Oversee and manage the data science workbench, ensuring it provides a robust and efficient environment for analysts and data scientists to develop and deploy models. This includes responsibility for the tools, infrastructure, and processes that support the full data science lifecycle.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Information Management, Economics, Statistics, Data Science, or a related field.
• Experience:
  • Minimum of 10+ years of experience in data management and data platform leadership roles.
  • Proven experience building and managing data governance frameworks in a complex, global organization.
  • Strong experience with market, financial and operational data.
  • Extensive experience with data warehousing, data lakes, and data integration technologies.
  • Experience with master data management principles and tools.
  • Experience with data quality management methodologies and tools.
  • Experience working with various data types, including time-series, operational and geospatial data.
  • Experience in a financial services company (banking, insurance, hedge funds) or data providers is highly desirable.
  • Experience in trading industry 
• Other skills:
  • Excellent leadership and team management skills.
  • Strong communication, interpersonal, and stakeholder management skills.
  • Strategic thinking and problem-solving abilities, curiosity and willingness to learn.
  • Strong understanding of data governance principles, frameworks and best practices.
  • Deep technical expertise in data architecture, data modeling, and data engineering.
  • Proficiency in database management and languages.
  • Experience with cloud-based data platforms (e.g. Azure, GCP, AWS)
  • Familiarity with data science languages (Python) and visualization tools (PowerBI, Dash)
• Languages: Fluent in English. Knowledge of other languages is a plus.

Additional Information

Additional Information for the job

What We Offer

We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Our Benefits

• Competitive salary and benefits

• Flexible working

• Access to Training and Development

• Discretionary Bonus

• Profit Sharing plan

• Lunch vouchers

• Public transportation refund 

• Workers council social benefits

• Legal annual paid leave + up tp 14 days RTT

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Sustainability

Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us