Vice President- Account Management Services Product Owner

Aumni

Mumbai

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+

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Job summary

JPMorganChase in Mumbai, India seeks a Data Product Ownership, AI Automation, and Data Quality Engineering Lead to set and drive organizational objectives for mission-critical data services. You will own the product vision, roadmap, and execution for onboarding, reporting, and operational workflows within Asset & Wealth Management.

You will partner with Operations, Technology, and Controls to deliver data products, triage incidents, and push for continuous improvement through AI-enabled

Qualifications

  • Proven track record as Product Owner/PM for data products in financial services.
  • Minimum 10 years of FS experience blending data, tech and operations.
  • Experience delivering in agile environments with backlog discipline.
  • Hands-on with SQL and Python to navigate large datasets and verify hypotheses.
  • Knowledge of AI/Agentic AI in data products and governance considerations.
  • Strong written and verbal communication for governance forums and leadership.
  • Bachelor’s in CS/Math/Stats or related field.

Responsibilities

  • Owner of day-to-day product stability and BAU coverage for data services.
  • Coordinate with Operations, Technology, and Service Management to triage and resolve issues with SLAs.
  • Translate BAU feedback into product enhancements with clear requirements and release plans.
  • Define operating rhythms and metrics to drive continuous improvement.
  • Define problem statements, use cases, and acceptance criteria for complex requirements.
  • Lead modernization roadmap across platform evolution and scalable processes.
  • Identify AI opportunities to improve straight-through processing and data quality.
  • Collaborate across Business, Operations, Technology, and Controls to remove blockers.
  • Sequence work across teams and releases to ensure predictable delivery.
  • Establish delivery metrics to reshape priorities and roadmap.

Skills

Product ownership
Financial services
Agile delivery
SQL
Python
AI/Agentic AI
Stakeholder influence

Education

Bachelor’s degree in CS/Math/Stats
Master’s degree in engineering or CS

Tools

VS Code
GitHub Copilot
Data quality tooling
Metadata platforms

Job description

You are a strategic thinker passionate about driving solutions in “Data Product Ownership, AI Automation, and Data Quality Engineering”. You have found the right team.

As “Data Product Ownership, AI Automation, and Data Quality Engineering Professional / Lead” within our “Asset & Wealth Management – MPX Account Management Services (Account SOR)” , you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities
  • Lead the Operate function for Account Management Services by owning day-to-day product stability, service delivery, and BAU point-of-contact coverage.
  • Partner with stakeholders across Operations, Technology, and Service Management to triage, prioritize, and resolve tickets, incidents, defects, and urgent ad-hoc requests with clear SLAs and communications.
  • Translate recurring BAU issues and user feedback into product enhancements by defining requirements, acceptance criteria, and release plans to improve user/client experience.
  • Establish operating rhythms and performance metrics (e.g., ticket trends, root-cause themes, time-to-resolution) to drive continuous improvement and proactive risk/controls management.
  • Define crisp problem statements, use cases, user journeys, success metrics, and acceptance criteria from complex requirements to enable fast, rigorous delivery.
  • Drive the modernization roadmap across platform evolution, user experience improvements, and scalable operational processes.
  • Identify AI and Agentic AI opportunities that increase straight-through processing and data quality with safe, explainable, and governable designs.
  • Partner across Business, Operations, Technology, and Controls to remove blockers, force decisions, and accelerate delivery outcomes.
  • Sequence work across teams, platforms, and release trains to manage dependencies and deliver predictable, high‑quality releases.
  • Stand up delivery and outcome metrics (quality, timeliness, adoption, STP lift, defect reduction, cycle time) to continuously reshape priorities and the roadmap.
  • Own the product vision, roadmap, and execution for mission‑critical data services powering onboarding, reporting, operational workflows, and investment processes.
Required qualifications, capabilities and skills
  • Demonstrate a proven track record as a Product Owner, Product Manager, or Delivery Lead for data products, platforms, or critical enterprise services (ideally in a major financial institution).
  • Bring a minimum of 10 years of Financial Services experience blending data, technology, and operations with Asset & Wealth Management data concepts.
  • Deliver effectively in agile environments with backlog discipline, pragmatic scope control, and outcome‑based execution.
  • Work hands‑on with SQL and Python to navigate large datasets, validate hypotheses, investigate issues, and partner credibly with engineering and analytics.
  • Apply practical fluency with AI and Agentic AI for data products (e.g., reconciliations, anomaly detection, triage, metadata enrichment, exception handling, workflow orchestration) while evaluating value, risk, scalability, and controls.
  • Influence stakeholders at every level with sharp written and verbal communication suitable for governance forums and senior leadership.
  • Hold a minimum of a Bachelor’s Degree in Computer Science, Math, Statistics, or a related field.
Preferred qualifications, capabilities and skills
  • Bring Asset Management experience with onboarding and servicing.
  • Use foundational AI/developer tooling such as VS Code and GitHub Copilot within a modern engineering environment.
  • Show familiarity with data‑quality tooling, metadata platforms, lineage frameworks, and modern data platforms (lakehouse/warehouse patterns, distributed processing, APIs, and data services).
  • Earn product management certifications such as CSPO or PSPO (preferred).
  • Hold a Master’s degree in engineering or computer science and demonstrate a creative mindset for innovative data‑solution design.

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.

J.P. Morgan Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Own Account managemnet Services product—stabilize BAU, modernize data services, and drive AI automation.

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