Data Engineering Lead - Finance and Master

Areyou passionate about Data and Analytics (D&A) and excited abouthow it can completely transform the way an enterprise works? Do youhave the strategic vision, technical expertise, and leadershipskills to drive data-driven solutions? Do you want to work in adynamic, fast-growing category? If so, you might be the idealcandidate for the role in the Data and Analytics function forGlobal Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the mostvibrant category in the FMCGsector.

As we work totransform this exciting category, a new program, Digital First, hasbeen mobilised by the Mars Pet Nutrition (PN) leadership team.Digital First places pet parents at the center of all we do in MarsPN, while digitalizing a wide range of business process areas, andcreating future fit capabilities to achieve ambitious targets intop line growth, earnings, and pet parent centricity. The DigitalFirst agenda requires Digitizing at scale and requires you todemonstrate significant thought leadership, quality decisionmaking, deep technical know-how, and an ability to navigate complexbusiness challenges while building and leading a team of worldclass data and analyticsleaders.

With Digital First,PN is moving to a Product based model to create business facingdigital capabilities. Develop and maintain robust data pipelinesand storage solutions to support data analytics and machinelearning initiatives. Reporting to the Director-Data engineeringsolution, The role operates globally in collaboration with teamsacross finance and master datafunctions

KeyResponsibilities

Leadershipand TeamManagement

• Lead andmentor a team of data engineers and DevOpsengineers.

• Provide guidanceand support in the design, implementation, and maintenance of dataassets.

• Foster acollaborative and high-performance team culture focused oninnovation andexcellence

DataAssetDelivery:

• Drive theend-to-end delivery of dataproducts.

• Collaborateclosely with cross-functional teams to understand businessrequirements and translate them into technicalsolutions.

• Ensure timely andaccurate delivery of data products that meet business needs andqualitystandards.

DataOpsand Optimisation :

• Implement DataOpspractices to streamline dataengineering

• workflows andimprove operationalefficiency.

• Automate datapipeline deployment and monitoring using CI/CDtools.

TechnicalLeadership:

• Providetechnical leadership and guidance on data engineering bestpractices.

• Stay informedabout industry trends and emerging technologies in data engineeringandanalytics.

Standardisationand Governance :

• Ensureadherence to data governance policies, procedures and standards.Implement best practices for data management, security, andcompliance. Promote data quality and integrity across all dataproducts.

• Monitor datapipeline performance and optimise for scalability, reliability, andspeed.

StakeholderEngagement:

• Collaboratewith PN D&A leadership, PN product owners, and segment D&Aleadership to synchronise and formulate data priorities aimed atmaximising value through datautilisation.

Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.