Data and Analytics Director

Be an essential element to a brighter future. 

We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values are the foundation that make us successful for ourselves, our customers and the planet. 

· Lead and manage a team of data professionals, including data scientists, data engineers, and analysts.

· Develop and implement the data and analytics strategy aligned with the company's goals and objectives.

· Oversee the design, development, and maintenance of data infrastructure and analytics platforms.

· Ensure data quality, governance, and compliance with relevant regulations and standards.

· Collaborate with cross-functional teams to identify data needs and deliver actionable insights.

· Drive the adoption of advanced analytics, machine learning, and AI technologies.

· Monitor industry trends and emerging technologies to keep the company at the forefront of data innovation.

· Manage budgets, resources, and vendor relationships related to data and analytics initiatives.

· Present findings and recommendations to senior leadership and stakeholders.

Qualifications:

· Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

· Proven experience in a senior data and analytics role, with a track record of successful project delivery.

· Strong leadership and team management skills.

· Expertise in data management, data warehousing, and data governance.

· Proficiency in analytics tools and programming languages such as SQL, Python, R, etc.

· Excellent communication and presentation skills.

· Ability to translate complex data insights into actionable business strategies.

· Experience with cloud-based data platforms and big data technologies is required (ideally Azure, DataBricks).

Preferred Skills:

· Experience in the industry relevant to your company (e.g., finance, healthcare, retail).

· Certifications in data management or analytics (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate).