Data Engineering Lead - Finance and Master

Job Description:

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector.

As we work to transform this exciting category, a new program, Digital First, has been mobilised by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the center of all we do in Mars PN, while digitalizing a wide range of business process areas, and creating future fit capabilities to achieve ambitious targets in top line growth, earnings, and pet parent centricity. The Digital First agenda requires Digitizing at scale and requires you to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders.

With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams across finance and master data functions

Key Responsibilities

Leadership and Team Management

• Lead and mentor a team of data engineers and DevOps engineers.

• Provide guidance and support in the design, implementation, and maintenance of data assets.

• Foster a collaborative and high-performance team culture focused on innovation and excellence

Data Asset Delivery:

• Drive the end-to-end delivery of data products.

• Collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

• Ensure timely and accurate delivery of data products that meet business needs and quality standards.

DataOps and Optimisation:

• Implement DataOps practices to streamline data engineering

• workflows and improve operational efficiency.

• Automate data pipeline deployment and monitoring using CI/CD tools.

Technical Leadership:

• Provide technical leadership and guidance on data engineering best practices.

• Stay informed about industry trends and emerging technologies in data engineering and analytics.

Standardisation and Governance:

• Ensure adherence to data governance policies, procedures and standards. Implement best practices for data management, security, and compliance. Promote data quality and integrity across all data products.

• Monitor data pipeline performance and optimise for scalability, reliability, and speed.

Stakeholder Engagement:

• Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronise and formulate data priorities aimed at maximising value through data utilisation.

#TBDDT

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.