The Enterprise Data & Platform Director will lead the enterprise analytics functions data and platform strategy, focusing on building scalable, secure, and high-performing data platforms across Finance, Commercial and R&D/Labs. This role will manage a team of Data Engineers, as well as Data and Solution Architects, ensuring that the data infrastructure supports advanced analytics, AI, and machine learning initiatives.

A key focus will be on implementing data mesh architecture to decentralize data ownership and empower business functions and segments with self-service data capabilities. The role will ensure that best-in-class platforms such as Azure, Databricks, and other cloud technologies are leveraged to create robust data assets, cataloging, and governance frameworks.

Additionally, they will oversee the design of end-to-end data and solutions architecture, ensuring alignment with business needs and collaborating closely with AI and analytics teams to drive business transformation.

What will be your key responsibilities?

• Leadership of Data & Platform Team: Lead, mentor, and guide a high-performing team, fostering collaboration and technical excellence. Set clear goals, encourage best practices, and ensure alignment with business needs.

• Build & Delivery Data Strategy : Lead the creation and implementation of the organization’s enterprise data strategy, ensuring alignment with business needs across Finance, Commercial, and R&D / Labs functions. Develop scalable data solutions that support business growth and innovation.

• Build & Scale Data Infrastructure: Oversee the development and optimization of robust, scalable data platforms

• Data Asset Creation & Cataloging: Lead efforts to create, manage, and catalogue high-quality, reusable data assets. Ensure that data governance and data quality standards are enforced across the organization, making data accessible and reliable for functions & segments.

• Technology Platform: Evaluate, implement, and manage modern technology platforms that align with the organization’s data needs. Ensure the integration of best-fit platforms like Azure, Databricks, and other cloud technologies to enable scalable, efficient data storage, processing, and analytics.

• Collaborate with AI & Analytics Teams: Partner with AI and analytics delivery teams to ensure data availability, integration, and scalability for AI models, advanced analytics, and machine learning efforts.

• Ensure Data Security and Compliance: Develop and enforce data security, privacy, and compliance protocols to safeguard sensitive information across enterprise functions. Stay up-to-date with industry best practices, ensuring data platform adherence

What can you expect from Mars?

• Work with over 140,000 diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.