Top Tech Jobs & Startup Jobs

Design, build, and maintain enterprise data platform and ETL/ELT pipelines (file, DB, API) using Snowflake/AWS. Optimize SQL and pipelines, support production incidents, work in Agile with global teams, and ensure data security and governance.

Lead end-to-end AI use cases for a business domain: redesign processes with AI/GenAI, define target-state solutions, prototype proofs-of-concept, drive model development and deployment, embed governance and controls, and provide technical leadership to deliver measurable business outcomes.

Lead configuration and optimization of the RSA Archer GRC platform: design applications, workflows, integrations, reports; partner with ERS and stakeholders; manage releases, UAT, documentation, governance, and continuous improvement.

Lead design and implementation of enterprise GenAI and LLM-based solutions on AWS. Architect repeatable AI patterns (RAG, agent orchestration, multimodal pipelines), build reusable components, drive PoC-to-production, ensure security, scalability, governance, and mentor engineering teams.

Owner of US regulatory report production and controls (Call Report, FR Y-9C, FR Y-14M/Q, etc.). Drive automation, data quality, issue management, and documentation; partner with IT, finance, and business SMEs. Support audits, bank exams, governance, and process improvements to ensure compliance with US GAAP and regulatory requirements.

Lead design, build, and maintain enterprise data platforms, data lakes, and ETL/ELT pipelines (Snowflake/AWS). Drive data modeling, performance tuning, scheduling, CI/CD, production support, architecture impact analysis, automation, and lead a data engineering team to support regulatory, finance, risk, and Customer 360 needs.

Drive enterprise AI adoption by designing and executing adoption strategies, stakeholder engagement, communications, training, and measurement. Partner with business leaders and AI teams to build enablement materials, run campaigns, track adoption metrics, and remove barriers to drive measurable AI business impact.

Lead and manage a data engineering team to design, build, and maintain enterprise data platforms (EDW, ODS, data lakes, cloud). Oversee data integrations, ETL/transform pipelines, performance tuning, data quality, governance, stakeholder management, vendor oversight, and drive automation and process improvements.

Lead design, prototyping, and production of GenAI/LLM/agentic AI solutions on AWS. Build PoCs, reusable accelerators, and transition innovations to scalable, secure production while mentoring teams and aligning with governance.