Job Description:
Are you passionate about Data and Analytics (D&A) and excited about how it can transform enterprise operations? Do you possess the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? If so, you might be the ideal candidate for the Data and Analytics role within Mars's Global Pet Nutrition (PN) division.
Pet Nutrition (PN) is a vibrant category in the FMCG sector. As we aim to transform this sector, the Digital First program has been launched by the PN leadership team. Digital First centers pet parents in our strategies, digitalizes various business processes, and develops capabilities to achieve ambitious growth, profitability, and customer-centric goals. This initiative requires significant thought leadership, technical know-how, and the ability to navigate complex challenges while leading a team of top-tier data and analytics professionals.
In this role, you will operate globally, collaborating with engineering teams across growth products, to develop and maintain robust data pipelines and storage solutions supporting analytics and machine learning initiatives. You will report to the Director of Data Engineering Solutions.
Responsibilities:
* Technical Leadership: Provide leadership to data and DevOps engineers, guiding the design and evolution of scalable data platforms, fostering a culture of innovation and high performance.
* Engineering Standards: Define and maintain data engineering standards, ensuring consistency, quality, and reusability. Make architectural decisions and empower teams to execute effectively.
* DataOps Enablement: Promote DataOps principles to streamline workflows, establish CI/CD pipelines, and improve operational efficiency and reliability of data pipelines.
* Data Governance and Quality: Integrate governance, security, and quality practices into engineering workflows. Define standards for data access, lineage, and compliance, ensuring trust in data assets.
* Stakeholder Engagement: Collaborate with leadership and product owners to align data strategies and maximize value from data utilization.
Mars is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals and provide accommodations upon request during the hiring process.
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