JOB DESCRIPTION

Architecture is data—and at JPMorgan Chase, we are transforming how that data drives strategy. This role offers a unique chance to build a first-of-its-kind architecture intelligence capability at enterprise scale. You will shape how leadership understands complexity, risk, and evolution across one of the world's most sophisticated technology estates. Working alongside senior architects and C-suite stakeholders, your insights will directly influence technology direction. If you are driven by data, curious by nature, and motivated to create impact, this role is designed for you.

Responsibilities:
Own the data quality posture of the Architecture Workbench, identifying gaps and improving completeness across architecture datasets
Design automated data quality frameworks, including validation checks, scoring mechanisms, and exception reporting pipelines
Collaborate with domain architects to remediate data issues and embed sustainable data governance practices




Develop executive-grade dashboards and observability tools to monitor architecture data health and coverage
Analyze architecture data to uncover trends, risks, and optimization opportunities within the technology estate
Create recurring analytical products, including reports and visualizations, that address strategic and operational questions
Track temporal changes in architecture to evaluate alignment with strategic direction and identify emerging deviations
Translate complex analytical findings into explicit narratives for senior technology and business stakeholders
Identify critical unanswered architecture questions and build datasets and pipelines to address them systematically
Integrate disparate data sources into unified, queryable models enabling scalable and repeatable intelligence generation

Required qualifications, skills, and capabilities
Solid hands-on experience with graph databases, particularly Neo4j — including Cypher query authorship, schema design, and gr

📌 Data Scientist Lead Bengaluru
🏢 JPMorganChase
📍 Bengaluru