Citi Group Senior Vice President Data Architecture Lead Analyst 

India, Maharashtra, Mumbai 

503692596

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decisions and manage your financial well-being to help plan for your future. For instance:

• We empower our employees to manage their financial well-being and help them plan for the future.
• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

Enterprise Excellence (EE) is a group within the Chief Operating Office (COO) organization that designs solutions to enhance transparency, empowers Operations and Functions to improve processes and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying, and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization and improves process health.

EE Systems Architecture Senior Lead Analyst – C14

Systems Architect will augment the Solutions Architecture function- which is responsible for designing comprehensive solutions to bridge the gap between business needs and technical requirements, ensuring that systems and applications are robust, scalable, and efficient.

The Systems Architecture senior lead analyst is a strategic professional who closely follows latest trends and is highly skilled and has expertise in leading the designing, deployment and management of systems supporting cutting-edge technologies including Big Data, AI/ML/GenAI and DevOps/MLOps. They will have hands on experience with the data architecture and support the data control, governance, and compliance for the EE Tech.

Excellent communication skills required to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required to guide, influence, and convince others, in particular colleagues in the other teams.

Responsibilities:

• Design and architect end-to-end solutions that integrate Big Data, AI/ML, and GenAI technologies with a focus on scalability, reliability, and performance.
• Lead the integration of Big Data platforms (e.g., Hadoop, Spark, Kafka) with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Design infrastructure solutions for data ingestion, processing, storage, and analytics that support large-scale workloads.
• Implement best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment processes.
• Develop and implement architectural guidelines, standards, and best practices for AI/ML model deployment, data pipelines, and infrastructure.
• Support the CDO requirements off EE, CDGP compliance and other related initiatives.
• Lead the exploration of emerging technologies and their potential impact on the company’s technology stack and business strategies.
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 15+ years of industry experience in systems architecture with a Data processing, Big Data, AI/ML, & DevOps focus.
• Experienced in designing large-scale, data-driven architectures in complex environments.
• Experience with various cloud platforms and architectures like single/multitenant etc.
• Expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka, HBase) and platform.
• Proficiency in AI/ML frameworks (e.g., TensorFlow, Scikit-Learn) & experience with GenAI tech.
• Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.
• Understanding of software development practices, microservices architecture, & API design.
• Experience with data storage solutions (e.g., NoSQL, SQL, data lakes) and pipeline orchestration.
• Excellent analytical and problem-solving skills with the ability to analyze and troubleshoot technical issues and provide innovative solutions.
• Strong communication, collaboration, and mentorship skills- with the ability to articulate technical concepts to non-technical stakeholders.

Education:

• Bachelor’s degree (or equivalent) in computer science, IT, engineering, or related discipline. Master’s degree preferred. Relevant Certifications are a plus.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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