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Enterprise Data AI Architect
4 weeks ago
Enterprise Data & AIArchitect In this critical role you will be the driving forcebehind the creation and evolution of a stateoftheart data and AIplatform that underpins our innovative solutions across mobile appsweb applications ecommerce cloud services and enterpriseapplications. You will leverage your 20years of experience in data and AIdriven cloud solutions to designdevelop and implement a robust platform that empowers us to disrupttraditional business models and lead the financial technologyspace.
20 years of experience in enterprisearchitecture data management and cloudcomputing.
Proven track record ofleading the design development and implementation of complex dataand AI platforms on cloud platforms (Azure AWSGCP).
Deep expertise in big datatechnologies (Hadoop Spark Kafka DataBricks Snowflake etc.) and astrong understanding of data governance and securityprinciples.
Extensive knowledge ofmachine learning and artificial intelligence concepts withexperience in applying these technologies to solve realworldbusiness problems (e.g. Generative AIAutoML).
Experience in developing anddeploying AIpowered solutions in the FinTech space (aplus).
Demonstrated ability to leadand mentor a team of data scientists engineers andarchitects.
Excellent communicationpresentation and collaboration skills to work effectively withcrossfunctional teams (business stakeholders product managersdevelopers).
Certifications in cloudplatforms (e.g. Azure Solutions Architect AWS Solutions Architect)and big data/machine learning (aplus).
Requirements
Responsibilities:
Lead the product vision anddevelopment of a stateoftheart data and AI platform ensuring italigns with business objectives and technologicallandscape.
Design develop andimplement a highly scalable secure and reliable data architectureon cloud platforms.
Define andimplement data governance and security policies to ensure dataprivacy and compliance withregulations.
Develop and integratemachine learning and artificial . intelligence models into theplatform to drive innovation and solve businessproblems.
Collaborate with businessstakeholders to understand their needs and translate them intotechnical requirements.
Lead a team ofdata scientists engineers and architects to build and maintain thedata and AI platform.
Stay uptodate onthe latest trends and technologies in cloud computing big dataanalytics and machinelearning.
Champion and promote theadoption of AI and data analytics across theorganization.
Develop and documenttechnical solutions and best practices for future reference andknowledge sharing.
The Ideal CandidateWill Have a Proven Track Record in:
Leading the development andimplementation of innovative data and AIplatforms.
Applying AI and machinelearning to solve realworld business problems particularly in theFinTech sector.
Building and leadinghighperforming data and engineeringteams.
Communicating complex technicalconcepts to a nontechnicalaudience.
Benefits Asper company standards.
Enterprise Data & AI Architect In this critical role, you willbe the driving force behind the creation and evolution of astate-of-the-art data and AI platform that underpins our innovativesolutions across mobile apps, web applications, e-commerce, cloudservices, and enterprise applications. You will leverage your 20+years of experience in data- and AI-driven cloud solutions todesign, develop, and implement a robust platform that empowers usto disrupt traditional business models and lead the financialtechnology space. Key Qualifications: 20+ years of experience inenterprise architecture, data management, and cloud computing.Proven track record of leading the design, development, andimplementation of complex data and AI platforms on cloud platforms(Azure, AWS, GCP). Deep expertise in big data technologies (Hadoop,Spark, Kafka, DataBricks, Snowflake, etc.) and a strongunderstanding of data governance and security principles. Extensiveknowledge of machine learning and artificial intelligence concepts,with experience in applying these technologies to solve real-worldbusiness problems (e.g., Generative AI, AutoML). Experience indeveloping and deploying AI-powered solutions in the FinTech space(a plus). Demonstrated ability to lead and mentor a team of datascientists, engineers, and architects. Excellent communication,presentation, and collaboration skills to work effectively withcross-functional teams (business stakeholders, product managers,developers). Certifications in cloud platforms (e.g., AzureSolutions Architect, AWS Solutions Architect) and big data/machinelearning (a plus). Requirements Responsibilities: Lead the productvision and development of a state-of-the-art data and AI platform,ensuring it aligns with business objectives and technologicallandscape. Design, develop, and implement a highly scalable,secure, and reliable data architecture on cloud platforms. Defineand implement data governance and security policies to ensure dataprivacy and compliance with regulations. Develop and integratemachine learning and artificial . intelligence models into theplatform to drive innovation and solve business problems.Collaborate with business stakeholders to understand their needsand translate them into technical requirements. Lead a team of datascientists, engineers, and architects to build and maintain thedata and AI platform. Stay up-to-date on the latest trends andtechnologies in cloud computing, big data analytics, and machinelearning. Champion and promote the adoption of AI and dataanalytics across the organization. Develop and document technicalsolutions and best practices for future reference and knowledgesharing. The Ideal Candidate Will Have a Proven Track Record in:Leading the development and implementation of innovative data andAI platforms. Applying AI and machine learning to solve real-worldbusiness problems, particularly in the FinTech sector. Building andleading high-performing data and engineering teams. Communicatingcomplex technical concepts to a non-technical audience. Benefits Asper company standards.
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