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Head of Data and Analytics Architecture and AIApply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in iconic global brands, infrastructure and people? As proud bakers and chocolatiers and custodians of iconic global brands, we don’t compromise on the quality of ingredients in our products or on the people we hire. The Head of Data and Analytics Architecture and AI mission has three facets.1) To own the DandA Architecture ensuring alignment with business objectives and the technology transformation agenda for DandA to provide enabling Digital services such as Data as a Service via APIs and Insights as a Service2) To own and deliver the technology capability for Data, Analytics and AI (DandA). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint delivers the longer term technology roadmap and vision.3) To own the Security, Data Assurance and Quality for both core DandA systems and the wider technology architecture.Data and Analytics (DandA) Infrastructure Management:Develop, maintain, and optimize the DandA architecture on AWS and Azure, including the design, deployment, and maintenance of the cloud based Pladis’ data platform (PDP).Deliver an architecture that''s globally scalable, agile, and supportive of digital services through Data and Insights as a service via APIs.Data Technology Capability Enhancement:Design and oversee the implementation of the PDP 2.Design and oversee data architecture to harmonise external, internal and Microsoft Graph data to deliver AI use casesImplement and review measures to track and enhance data engineering productivity.Data Governance, Security, and Quality:Implement end to end data security measures, including periodic penetration testing, audits, and assurance of PDP.Coordinate with the CISO, DPO, and other teams to ensure data security, GDPR compliance, and overall data assurance.Initiate and oversee a continuous data quality improvement strategy both at PDP and in source systems.AI and Advanced Analytics Strategy and Vision:Set and align the AI architecture vision with the company’s overarching business goals.Stay updated with latest AI and ML trends to keep the company at the technological forefront.Lay down AI architectural standards, best practices, and guidelines for system design.AI Solutions Design and Integration:Design AI solutions that are robust, scalable, and in line with business requirements.Integrate generalized AI models into business processes and ensure they harmonize with existing systems.AI Data Management and Storage:Manage and safeguard data for AI models, emphasizing governance, quality, security, and accessibility.Collaborate with data teams to streamline AI model lifecycle processes.AI Technical Leadership and Engagement:Mentor and guide AI teams, ensuring alignment with business objectives.Engage regularly with business stakeholders to align AI outputs with business needs.Encourage AI literacy within the company through training and engagement.AI Solution Lifecycle Oversight:Ensure smooth deployment, monitoring, and maintenance of AI models in production environments.Uphold ethical standards and ensure compliance with data privacy regulations.AWS (Amazon Web Services): Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure Functions, Azure SQL Database, HDInsight, and Azure Machine Learning Studio.Data Storage and Databases:SQL and NoSQL Databases: Experience with databases like PostgreSQL, MySQL, MongoDB, and Cassandra.Big Data Ecosystems: Hadoop, Spark, Hive, and HBase.Data Integration and ETL:Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache Flink.ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache Airflow.AI and Machine Learning:AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform.DevOps and Infrastructure as Code:Terraform, Ansible, and AWS CloudFormation.Identity and Access Management: AWS IAM, Azure Active Directory.Data Governance Tools: AWS Lake Formation, Azure Purview.Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault.Data Analytics and BI:Visualization Tools: Tableau, Power BI, Looker, and Grafana.Analytics Services: AWS Athena, Amazon QuickSight, Azure Stream Analytics.CI/CD Tools: Jenkins, Travis CI, AWS CodePipeline, Azure DevOps.Serverless Architectures: Experience with AWS Lambda, Azure Functions.Knowledge of AWS Greengrass, Azure IoT Edge.Networking and Content Delivery: Experience with VPCs, CDN solutions like AWS CloudFront, and Azure Content Delivery Network.Proficient in English (spoken and written) with strong presentation skills. Knowledge of regional languages is a plus.Experience:

Demonstrated success as a data or enterprise architect.Solid knowledge of cloud-based Data and Analytics technologies.Industry Experience:

Familiarity with Consumer Packaged Goods, Food Retail, or ecommerce environments is preferred.Efficiency:

Produces impactful results without unnecessary waste.Agile Expertise:

Deep-rooted understanding of value-driven Agile methodologies.Capable of effective conflict resolution and creative problem-solving.Creativity:

Finds innovative solutions without compromising quality.Data-Oriented:

Makes decisions based on data.All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion or any other classification protected by law.pladis is one of the world’s fastest growing snacking companies and home to much loved brands including McVitie’s, GODIVA and Ülker. pladis also owns regional brands Jacob’s, Go Ahead, Flipz, Turtles, BN, Verkade and many mor]]