Business Intelligence - Advanced Analytics - Vice President

JPMorganChase; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase is seeking a senior BI leader in India to drive AI-enabled analytics, enterprise-grade BI capabilities, and governance across the analytics lifecycle. You will partner with executives, design semantic models, and deliver impactful, scalable dashboards using Sigma and Tableau.

The role emphasizes leadership, advanced SQL and Python, NLP in BI workflows, and mentorship to mature analytics capabilities with measurable ROI. Strong communication with cross-functional teams is essential.

Qualifications

• 10+ years delivering BI or analytics solutions.
• 3+ years leading enterprise BI with measurable outcomes.
• Mastery of logical and semantic data modeling, semantic layer design, and metric stewardship.
• Build and optimize Sigma and Tableau assets with performance tuning, governed self-service, and row-level security.
• Write advanced SQL to analyze, validate, and troubleshoot complex datasets.
• Develop Python solutions to support analytics delivery, automation, or data quality.
• Operationalize large language models/NLP within BI workflows, including prompt engineering and Databricks Genie.
• Govern data definitions and metadata through disciplined documentation and stewardship.
• Apply statistics and hypothesis testing to support measurement and decision-making.
• Translate ambiguous stakeholder asks into precise analytical requirements, success criteria, and testable outcomes.
• Communicate executive-ready narratives that influence cross-functional partners.

Responsibilities

• Partner with senior stakeholders to align analytics priorities with strategy and surface insights.
• Drive end-to-end analytics delivery from problem framing to adoption and impact measurement.
• Architect and govern semantic layer; coach modeling trade-offs and performance optimization.
• Implement AI-enabled BI with NLP querying and domain-specific assistants.
• Establish visualization standards; build and review high-impact Sigma and Tableau assets.
• Run governance to track adoption, outcomes, and ROI with transparent risk discussions.
• Quantify portfolio impact metrics such as adoption and decision velocity.
• Lead change management and enablement for organization-wide adoption.
• Develop team capabilities through reviews, upskilling, and hiring hybrid talent.
• Iterate post go-live backlog based on feedback and decommission low-value artifacts.

Skills

Leadership

Data modeling

SQL

Python

NLP/LLM

Data governance

Tools

Sigma

Tableau

Databricks Genie

Job description

Job Description

Make your mark modernizing business intelligence with artificial intelligence-driven insights, enterprise visibility, and strong career mobility.

Job Responsibilities

• Partner with senior and executive stakeholders to align analytics priorities to strategy, surface forward-looking insights, and influence outcomes through strong engagement.
• Drive end-to-end delivery across the analytics lifecycle, from problem framing and success criteria through user acceptance testing, deployment, adoption, and impact measurement with clear ownership and service-level agreements.
• Architect and govern the semantic layer by defining logical structures, business rules, and metric definitions for Engineering to implement, while coaching modeling trade-offs and performance optimization.
• Implement artificial intelligence-enabled business intelligence by enabling natural language querying (for example, Databricks Genie), designing domain-specific assistants, and embedding predictive analytics into decision flows as maturity grows.
• Establish visualization standards and personally build and review high-impact Sigma and Tableau assets that emphasize usability, performance, and guided analysis.
• Run an insight-to-action governance model that prioritizes findings, assigns accountable owners, tracks outcomes to closure, and communicates benefits, trade-offs, and risks transparently.
• Quantify and track portfolio impact metrics including adoption, decision velocity, decision quality, and return on investment, applying disciplined risk-adjusted prioritization.
• Orchestrate change management and enablement to drive adoption, including training, quick-reference content, and executive-ready briefings.
• Develop team capability through upskilling, code and modeling reviews, visualization critiques, and recruiting hybrid talent with domain and technical depth.
• Refine a continuous improvement backlog by iterating post go-live based on feedback and decommissioning low-value artifacts.

Required Qualifications, Skills, And Capabilities

• Demonstrate 10+ years of experience delivering business intelligence or analytics solutions.
• Show 3+ years of leadership delivering enterprise-scale business intelligence capabilities with measurable outcomes.
• Apply mastery of logical and semantic data modeling, semantic layer design, and metric stewardship.
• Build and optimize Sigma and Tableau assets, including performance tuning, governed self-service, and row-level security.
• Write advanced SQL (Structured Query Language) to analyze, validate, and troubleshoot complex datasets.
• Develop Python solutions to support analytics delivery, automation, or data quality use cases.
• Operationalize large language models and natural language processing within business intelligence workflows, including prompt engineering and Databricks Genie.
• Govern data definitions and metadata through disciplined documentation and stewardship practices.
• Use applied statistics and hypothesis testing to support sound measurement and decision-making.
• Translate ambiguous stakeholder asks into precise analytical requirements, success criteria, and testable outcomes.
• Communicate executive-ready narratives that translate complex analytics into actionable, well-controlled decisions while influencing cross-functional partners.

Preferred Qualifications, Skills, And Capabilities

• Deploy natural language querying over governed data in a way that supports scalable adoption and consistent metric interpretation.
• Build domain-specific artificial intelligence assistants aligned to business taxonomy and governed metric definitions.
• Drive adoption at scale with measurable return on investment and outcome tracking tied to decision-making.

Demonstrated ability to identify opportunities for AI and automation integration within operational workflows, including experience evaluating, implementing, or governing AI-driven solutions to achieve scalable process improvements and strategic objectives.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.