Enterprise Data AI Architect

Enterprise Data & AI Architect In this critical role you will be the driving force behind the creation and evolution of a stateoftheart data and AI platform that underpins our innovative solutions across mobile apps web applications ecommerce cloud services and enterprise applications. You will leverage your 20 years of experience in data and AIdriven cloud solutions to design develop and implement a robust platform that empowers us to disrupt traditional business models and lead the financial technology space.

Key Qualifications:

20 years of experience in enterprise architecture data management and cloud computing.

Proven track record of leading the design development and implementation 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 strong understanding of data governance and security principles.

Extensive knowledge of machine learning and artificial intelligence concepts with experience in applying these technologies to solve realworld business problems (e.g. Generative AI AutoML).

Experience in developing and deploying AIpowered solutions in the FinTech space (a plus).

Demonstrated ability to lead and mentor a team of data scientists engineers and architects.

Excellent communication presentation and collaboration skills to work effectively with crossfunctional teams (business stakeholders product managers developers).

Certifications in cloud platforms (e.g. Azure Solutions Architect AWS Solutions Architect) and big data/machine learning (a plus).

Requirements

Responsibilities:

Lead the product vision and development of a stateoftheart data and AI platform ensuring it aligns with business objectives and technological landscape.

Design develop and implement a highly scalable secure and reliable data architecture on cloud platforms.

Define and implement data governance and security policies to ensure data privacy and compliance with regulations.

Develop and integrate machine learning and artificial . intelligence models into the platform to drive innovation and solve business problems.

Collaborate with business stakeholders to understand their needs and translate them into technical requirements.

Lead a team of data scientists engineers and architects to build and maintain the data and AI platform.

Stay uptodate on the latest trends and technologies in cloud computing big data analytics and machine learning.

Champion and promote the adoption of AI and data analytics across the organization.

Develop and document technical solutions and best practices for future reference and knowledge sharing.

The Ideal Candidate Will Have a Proven Track Record in:

Leading the development and implementation of innovative data and AI platforms.

Applying AI and machine learning to solve realworld business problems particularly in the FinTech sector.

Building and leading highperforming data and engineering teams.

Communicating complex technical concepts to a nontechnical audience.

Benefits

As per company standards.

Enterprise Data & AI Architect In this critical role, you will be the driving force behind the creation and evolution of a state-of-the-art data and AI platform that underpins our innovative solutions across mobile apps, web applications, e-commerce, cloud services, and enterprise applications. You will leverage your 20+ years of experience in data- and AI-driven cloud solutions to design, develop, and implement a robust platform that empowers us to disrupt traditional business models and lead the financial technology space. Key Qualifications: 20+ years of experience in enterprise architecture, data management, and cloud computing. Proven track record of leading the design, development, and implementation 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 strong understanding of data governance and security principles. Extensive knowledge of machine learning and artificial intelligence concepts, with experience in applying these technologies to solve real-world business problems (e.g., Generative AI, AutoML). Experience in developing and deploying AI-powered solutions in the FinTech space (a plus). Demonstrated ability to lead and mentor a team of data scientists, engineers, and architects. Excellent communication, presentation, and collaboration skills to work effectively with cross-functional teams (business stakeholders, product managers, developers). Certifications in cloud platforms (e.g., Azure Solutions Architect, AWS Solutions Architect) and big data/machine learning (a plus). Requirements Responsibilities: Lead the product vision and development of a state-of-the-art data and AI platform, ensuring it aligns with business objectives and technological landscape. Design, develop, and implement a highly scalable, secure, and reliable data architecture on cloud platforms. Define and implement data governance and security policies to ensure data privacy and compliance with regulations. Develop and integrate machine learning and artificial . intelligence models into the platform to drive innovation and solve business problems. Collaborate with business stakeholders to understand their needs and translate them into technical requirements. Lead a team of data scientists, engineers, and architects to build and maintain the data and AI platform. Stay up-to-date on the latest trends and technologies in cloud computing, big data analytics, and machine learning. Champion and promote the adoption of AI and data analytics across the organization. Develop and document technical solutions and best practices for future reference and knowledge sharing. The Ideal Candidate Will Have a Proven Track Record in: Leading the development and implementation of innovative data and AI platforms. Applying AI and machine learning to solve real-world business problems, particularly in the FinTech sector. Building and leading high-performing data and engineering teams. Communicating complex technical concepts to a non-technical audience. Benefits As per company standards.