Data engineer AI and Analytics - Vice president

Location: Pune, Maharashtra, India

Employment Type: Regular

About Citi:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments, and accessing the capital markets on behalf of our clients.

Role Summary:

We are seeking a highly skilled and forward-thinking Vice President to lead our Intelligent Data Platforms team in Pune. This leader will be responsible for the evolution and management of our foundational client and account data, bridging the gap between high-throughput transactional systems (OLTP) and large-scale analytical platforms (OLAP). This is a critical engineering leadership role, owning the core data assets that power every client and advisor interaction and serve as the foundation for our AI-driven initiatives.

The ideal candidate is a seasoned data expert with a deep background in managing massive, mission-critical data ecosystems within premier financial institutions. You must have proven experience not only in delivering high-performance, real-time data via APIs but also in enabling advanced analytics and AI on that data. This role requires a leader who is driven by metrics, possesses an end-to-end view of the entire data lifecycle, and has a passion for leveraging modern data technologies and AI to unlock new value from our core data assets.

Key Responsibilities:

• Unified Data Platform Ownership: Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores.
• AI & Advanced Analytics Enablement: Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data.
• Real-Time API Management: Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure.
• Data Integrity & Scale: Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems.
• Measurement & Analytics: Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models.
• End-to-End Ecosystem View: Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed.
• Technical Strategy: Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities.

Qualifications:

• Experience: 10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions.
• Technical Expertise:
  • Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server).
  • Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem).
  • Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles.
  • Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale.
  • Strong data modeling skills for both transactional and analytical use cases.
  • Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana).
• Leadership: Proven ability to lead, mentor, and manage a high-performing engineering team.
• Work Ethic & Ownership: A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability.
• Systems Thinker: The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight.
• Communication: Excellent communication skills, with the ability to effectively collaborate with technical teams and business stakeholders across different geographic locations.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

Citi is an equal opportunity and affirmative action employer.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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