Data Architect, Data Lead, Product Manager

AYUSH MISHRA

Assistant Vice President — Data Engineering & Architecture Data & Engineering Team Leader

Mumbai, India +91-808******* ***********@*****.*** linkedin.com/in/ayush-mishra-369592138

PROFESSIONAL SUMMARY

Data Engineering & Architecture leader with 8+ years of experience building, mentoring, and leading high-performing engineering teams while driving enterprise data strategy across Investment Banking, Wealth Management, Core Banking, Payments, and Risk. Proven track record owning end-to-end delivery governance, hiring, and career development for cross-functional data teams delivering scalable Databricks, PySpark, Delta Lake, Azure, and Snowflake platforms. Trusted partner to senior Technology, Risk, and Business stakeholders, translating enterprise data strategy into execution roadmaps spanning Data Governance, Data Quality, MDM, Data Contracts, and regulatory compliance (BCBS 239, Basel III, RDARR). Champion of AI-ready data platforms enabling Generative AI, Agentic AI, and RAG adoption, with strong grounding in Agile leadership, DataOps/CI-CD, vendor management, and executive stakeholder communication.

CORE COMPETENCIES

•Leadership & People Management: Team Building & Mentoring, People Management, Hiring & Onboarding, Performance Management, Delivery Governance, Program Management, Vendor Management, Executive Stakeholder Management, Cross-Functional Leadership, Agile Coaching, OKRs, Resource & Capacity Planning

•Data Strategy & Architecture: Enterprise Data Strategy, Data Architecture, Data Mesh, Data Fabric, Data Product Thinking, Data Lakehouse, Data Warehouse, ETL/ELT Pipeline Design, Cloud Migration Strategy

•Data Engineering: Azure Data Factory (ADF), Databricks, Delta Lake, PySpark, Spark SQL, Apache Spark, Snowflake, Unity Catalog, dbt, Kafka & Real-Time Streaming, Azure Synapse Analytics, Azure Data Lake Gen2

•Governance & Risk: Data Governance, Data Quality Frameworks, Data Observability, Metadata Management, Data Lineage, Master Data Management (MDM), Data Catalog (Collibra), Data Contracts, Business Glossary, BCBS 239, Basel III, Risk Data Aggregation & Reporting (RDARR), Regulatory Reporting, Audit Readiness

•AI/ML & Emerging Tech: Generative AI Strategy, Agentic AI, Retrieval-Augmented Generation (RAG), MLOps/LLMOps, AI Governance, AI-Ready Data Architecture, Machine Learning, Anomaly Detection

•Programming & Cloud: SQL, T-SQL, PL/SQL, Python (pandas, NumPy), Microsoft Azure, AWS (S3, EC2), Azure DevOps, CI/CD, Git, Infrastructure as Code, DataOps, JIRA, Confluence

PROFESSIONAL EXPERIENCE

Assistant Vice President — Data Engineering & Architecture — JPMorgan Chase May 2026 – Present

•Lead and mentor a cross-functional team of data engineers and architects, owning hiring input, performance management, and career development while directing delivery of scalable, governed data platforms on Azure and Databricks for enterprise banking data domains.

•Own end-to-end data architecture decisions and enterprise data strategy, partnering with senior stakeholders across Technology, Risk, and Business teams to align delivery roadmaps with regulatory and governance requirements.

•Drive delivery governance and program management across multiple concurrent data initiatives, setting technical direction, prioritization, and OKRs for the team.

•Champion enterprise-wide adoption of data governance, data quality, and lineage standards, building on prior BCBS 239 and regulatory data program experience.

•Represent data engineering in cross-functional and executive forums, translating technical trade-offs into business impact for senior leadership.

Sr. Associate Automation Data Architect — Morgan Stanley Sept 2024 – May 2026

•Led and mentored a team of data engineers and analysts, owning technical direction, code quality standards, and day-to-day coaching — improving production issue resolution turnaround time by 20%.

•Directed design and delivery of Azure-based data pipelines (ADF, Databricks, Delta Lake, PySpark) for Wealth Management and Payments, managing delivery timelines and stakeholder expectations across business and technology teams.

•Owned enterprise data modeling strategy, leading design of Logical, Physical, and Common Data Models (LDM/PDM/CDM) for Wealth Management, Wholesale Credit, Core Banking, and Payments domains, aligned with BCBS 239 standards.

•Drove organization-wide adoption of data governance best practices — business data definitions, metadata standards, data lineage, and business glossary frameworks — improving enterprise-wide data consistency.

•Led enterprise data modeling and Domain-Driven Design (DDD) initiatives across cross-functional teams, designing canonical data models to enable scalable analytics and cross-domain integration.

•Directed Azure Lakehouse architecture integrating Wealth Management, Payments, Credit Risk, and Market Risk datasets, delivering governed, analytics-ready enterprise data platforms.

•Sponsored AI-ready data architecture initiatives, positioning governed, high-quality datasets with standardized metadata for Agentic AI, Generative AI, and RAG adoption.

Consultant Solution Architect — EY, Mumbai May 2023 – Sept 2024

•Led delivery of production-grade Python, PySpark, and SQL pipelines within Databricks environments, coordinating cross-functional teams to process, cleanse, and validate large, diverse datasets.

•Directed design of logical and physical data models for large-scale financial and risk datasets, enabling consistent consumption across analytics, risk, and regulatory reporting teams.

•Partnered with client stakeholders to establish data governance frameworks and process standards, mentoring junior consultants on Databricks and Delta Lake best practices.

•Built and optimized Databricks notebooks and jobs using Spark and Delta Lake, supporting Agile delivery and CI/CD-aligned releases.

•Created canonical schemas, star models, and semantic layers to support enterprise analytics adoption.

Assistant Manager — GAT — CEAT Ltd., Nashik Nov 2018 – June 2022

•Led ETL and reporting initiatives using SQL tools, partnering with operations, IT, and leadership to improve supply chain, production, and operational performance reporting.

•Directed automation projects using Python to streamline manual reporting workflows, reducing repetitive effort for the operations team.

•Oversaw design of Tableau and Power BI dashboards adopted by cross-functional operations teams to monitor production KPIs and drive data-informed decisions.

•Collaborated with plant leadership to define reporting requirements and standardize KPI tracking across production and supply chain functions.

•Supported control and risk management frameworks, working across operations, IT, and leadership teams to strengthen process controls and decision-making.

EDUCATION

•PG Diploma in Big Data Analytics — Centre for Development of Advanced Computing (CDAC), Pune (2022–2023)

•PGDM-HB (Operations) — Welingkar Institute of Management, Mumbai (2020–2022)

•B.E. (Mechanical) — Savitribai Phule Pune University, Pune (2014–2018)

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