Data Governance Associate

Aumni

Bengaluru

On-site

INR 1,400,000 - 2,200,000

Full time

7 days ago
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Job summary

JPMorganChase in Bengaluru seeks a data governance and automation specialist to design and deliver automation across governance workflows, partner on GenAI-enabled solutions, and drive process improvements. The role focuses on metadata, data quality, privacy, access, and risk, coordinating with cross-functional stakeholders.

Strong communication and documentation skills are essential. The candidate will lead workshops, define KPIs, and ensure adherence to governance standards while scaling

Qualifications

  • Bachelor’s / Master degree in Business, Data Management, Data Science, MIS, Statistics, or related field.
  • 5+ years of relevant experience in data governance, data management, process optimization, or automation in a regulated/controlled environment
  • Strong understanding of data governance concepts: metadata management/data catalog, data quality, data privacy, data access management, data risk
  • Exposure to AI/GenAI concepts and practical applications for workflow automation (use case identification, prompt/workflow design, or AI-enabled tooling)
  • Proven ability to translate business problems into requirements, drive execution, manage milestones, and coordinate delivery across multiple stakeholders
  • Ability to evaluate processes, assess risk/control considerations, define success metrics, and use data to guide decisions
  • Strong written and verbal communication skills; ability to influence and drive adoption across diverse business and functional partners
  • Ability to produce clear process maps, SOPs, governance artifacts, and user guidance

Responsibilities

  • Design and deliver DG automation solutions: Identify manual and repetitive DG processes and implement automation/streamlining opportunities across functions (metadata, DQ, privacy, access, AI governance, risk).
  • Drive AI/GenAI adoption across DG: Partner with DG stakeholders to define use cases, develop proofs of concept, and scale AI/GenAI-enabled solutions that improve governance workflows.
  • Requirements gathering & process re-engineering: Facilitate workshops with business and functional partners to document current-state processes, pain points, and future-state designs.
  • Solution coordination & rollout: Coordinate implementation plans, change management, training, and communications to ensure adoption across multiple DG functions and teams.
  • Governance and controls alignment: Ensure automation solutions align with internal governance requirements (risk, privacy, access, auditability, model/AI governance expectations where applicable).
  • Stakeholder management: Act as a key point of contact across CCB Lines of Business, Products, and Functional Areas for DG automation initiatives; track progress and manage dependencies.
  • Measurement & continuous improvement: Define KPIs (cycle time reduction, automation rate, data quality improvements, adoption metrics), monitor results, and iteratively enhance solutions.
  • Documentation and standards: Maintain documentation for workflows, operating procedures, controls, and solution playbooks to support consistent execution and scalability.

Skills

Data governance
Data management
Process optimization
Automation
AI/GenAI concepts
Stakeholder management
KPIs & metrics
Documentation
Data privacy
Metadata management
Data risk

Education

Bachelor’s degree
Master’s degree

Tools

N/A

Job description

Job Responsibilities:
  • Design and deliver DG automation solutions: Identify manual and repetitive DG processes and implement automation/streamlining opportunities across functions (metadata, DQ, privacy, access, AI governance, risk).
  • Drive AI/GenAI adoption across DG: Partner with DG stakeholders to define use cases, develop proofs of concept, and scale AI/GenAI-enabled solutions that improve governance workflows.
  • Requirements gathering & process re-engineering: Facilitate workshops with business and functional partners to document current-state processes, pain points, and future-state designs.
  • Solution coordination & rollout: Coordinate implementation plans, change management, training, and communications to ensure adoption across multiple DG functions and teams.
  • Governance and controls alignment: Ensure automation solutions align with internal governance requirements (risk, privacy, access, auditability, model/AI governance expectations where applicable).
  • Stakeholder management: Act as a key point of contact across CCB Lines of Business, Products, and Functional Areas for DG automation initiatives; track progress and manage dependencies.
  • Measurement & continuous improvement: Define KPIs (cycle time reduction, automation rate, data quality improvements, adoption metrics), monitor results, and iteratively enhance solutions.
  • Documentation and standards: Maintain documentation for workflows, operating procedures, controls, and solution playbooks to support consistent execution and scalability.
Required qualifications, capabilities, and skills
  • Bachelor’s / Master degree in Business, Data Management, Data Science, MIS, Statistics, or related field.
  • 5+ years of relevant experience in data governance, data management, process optimization, or automation in a regulated/controlled environment
  • Strong understanding of key data governance concepts such as metadata management/data catalog, data quality, data privacy, data access management, and data risk.
  • Exposure to AI/GenAI concepts and practical applications for workflow automation (use case identification, prompt/workflow design, or AI-enabled tooling).
  • Proven ability to translate business problems into requirements, drive execution, manage milestones, and coordinate delivery across multiple stakeholders.
  • Ability to evaluate processes, assess risk/control considerations, define success metrics, and use data to guide decisions.
  • Strong written and verbal communication skills; ability to influence and drive adoption across diverse business and functional partners.
  • Ability to produce clear process maps, SOPs, governance artifacts, and user guidance.
Preferred qualifications, capabilities, and skills
  • Knowledge of consumer banking products and systems, and understanding of regulatory requirements.
  • Experience with JPMC Technology teams in analyst, risk, or technical roles.

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.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The role involves contributing to strategic initiatives in data governance.

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