Client Reporting Product Owner- Vice President

J.P. Morgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JP Morgan Chase is seeking a strategic Product Management for Client Reporting professional to set and improve organizational objectives and ensure their execution within the Client Reporting team.

The role focuses on defining roadmaps, prototyping AI-enabled solutions, aligning stakeholders, and delivering production pilots with a data-driven approach to reporting lifecycle management.

Qualifications

• Experience shipping AI-driven products or internal tools used by real users.
• Ability to translate ambiguous direction into a sequenced plan with clear owners and measurable outcomes.
• Skill in rapid prototyping and hands-on building using AI coding assistants and AI-assisted development workflows.
• Knowledge of agentic or multi-step AI workflows and human-in-the-loop controls.
• Strong communication to explain trade-offs to senior stakeholders in plain language.
• Collaboration across product, technology, transformation, data owners and risk/controls.

Responsibilities

• Define and execute a sequenced roadmap of pilots, product increments, and adoption.
• Prototype AI-enabled solutions rapidly and validate impact with real users.
• Raise the team’s AI-native capability with AI as part of day-to-day work.
• Map the reporting lifecycle into discrete jobs-to-be-done and allocate work accordingly.
• Design an agentic workforce with clear roles, tool access, and escalation paths.
• Build employee-centric workflows by removing manual workarounds.
• Define data, metadata, lineage, entitlements, and business rules for capabilities.

Skills

AI product management

Stakeholder communication

Rapid prototyping

Cross-functional collaboration

Data-driven decision making

Tools

SQL

Python

Data modeling

Job description

You are a strategic thinker passionate about driving solutions in Product Management for Client Reporting. You have found the right team.

As “ Product Management for Client Reporting” Professional within our Client Reporting team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities

• Define and execute a sequenced roadmap of pilots, product increments, and adoption, owning the backlog and delivery outcomes.
• Prototype AI-enabled solutions rapidly and validate impact with real users, translating winners into production-ready requirements.
• Raise the team’s AI-native capability by coaching and enabling AI as a normal part of day-to-day work.
• Map the end-to-end reporting lifecycle into discrete jobs-to-be-done and allocate the right work to agents vs. humans with clear handoffs.
• Design an agentic workforce with clear roles, tool access, context/retrieval needs, escalation paths, and human-in-the-loop checkpoints.
• Build employee-centric workflows by observing frontline work, identifying breakpoints, and making the manual workaround the harder option.
• Define the data, metadata, lineage, entitlements, and business rules required for each capability, partnering with data owners to close gaps.
• Accelerate discovery using approved firm tooling (AI-assisted development, prompting, and workflow automation) to test ideas in days, not quarters.
• Establish “good” upfront with evals, success criteria, and failure-mode-aware checks for confident-but-wrong AI outputs.
• Align engineering, data, and risk/control stakeholders to deliver solutions employees choose to use, with clear accountability boundaries.
• Deliver early momentum by embedding with reporting teams, selecting the highest-payoff jobs, shipping prototypes, and scoping a production pilot.

Required qualifications, capabilities and skills

• Experience shipping AI-driven products or internal tools used by real users, including learning from failures and iterating.
• Ability to translate ambiguous direction into a sequenced plan with clear owners and measurable outcomes.
• Skill in rapid prototyping and hands-on building using AI coding assistants and AI-assisted development workflows.
• Knowledge of agentic or multi-step AI workflows (tool use, retrieval, orchestration, and human review checkpoints).
• Capability to define evals and success criteria and measure output quality with evidence over impressions.
• Judgment on when not to use AI and how to design safe, reliable human-in-the-loop controls.
• Communication skills to write clearly and explain trade-offs to senior stakeholders in plain language.
• Collaboration skills to partner effectively across product, technology, transformation, business leads, data owners, and risk/controls.
• Mindset focused on scaling adoption so prototypes become durable production capabilities, not one-off demos.
• Commitment to enabling others through pairing, working sessions, and reusable patterns, prompts, and examples.

Preferred qualifications, capabilities and skills

• Experience in client, investment, performance, or regulatory reporting.
• Experience building in a regulated environment with entitlements, auditability, model risk, and records requirements.
• Working fluency in SQL, Python, or data modeling.
• Background in product discovery, service design, or process redesign.
• Track record of driving measurable cycle-time reduction and manual-effort reduction through workflow transformation.