Senior Data Architect - Gen AI Engineering at Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)

Position Senior Data Architect - Gen AI Engineering
Posted 2025 July 07
Expired 2025 August 06
Company Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Location Windsor, West Berkshire | GB
Job Type Full Time
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Job Description:

Latest job information from Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD) for the position of Senior Data Architect - Gen AI Engineering. If the Senior Data Architect - Gen AI Engineering vacancy in Windsor, West Berkshire matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD) for the position of Senior Data Architect - Gen AI Engineering below matches your qualifications.

Job Description:We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for?

A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices.

Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements.

Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills.

Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with 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.

#TBDDTMars 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.

Job Info:

  • Company: Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
  • Position: Senior Data Architect - Gen AI Engineering
  • Work Location: Windsor, West Berkshire
  • Country: GB

How to Submit an Application:

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