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Senior Product Associate - AI Governance

JPMorgan Chase

Senior Product Associate - AI Governance

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

1w ago

Job Description:

The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management.

As an AI & Data Governance Product Manager- Associate within our organization, you will understand, formulate and execute well designed, user friendly, product feature builds that encompass AI & Data governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI & Data technologies across the firm. You will be instrumental in integrating AI/ML & Data Management technology into the company's structure, adhering to sustainable best practices in compliance with JPMC technology, operational risk, and relevant regulations. Collaborating with cross-functional teams such as Firmwide CDO, data scientists, engineers, design, legal, compliance, and business units, you will work on AI & Data governance initiatives and ensure they align with regulatory requirements and industry best practices.

Job Responsibilities

  • Design and implement product features that apply evolving AI & Data governance frameworks, policies, and procedures to ensure the ethical and responsible use of AI technologies across the organization.
  • Ensure compliance with relevant AI & Data Management regulations, standards, and guideline, and emerging regulations.
  • Identify, assess, and mitigate risks associated with AI & Data Management technologies, including data quality, data protection & privacy, bias, transparency, and accountability.
  • Collaborate with cross-functional stakeholders such as Firmwide CDO, data scientists, engineers, legal, compliance, design and business units to integrate AI & Data governance practices into the AI/ML & Data development lifecycle
  • Establish monitoring and reporting mechanisms to track compliance with AI & Data governance policies and identify areas for improvement.
  • Present product/program updates, risk management and governance findings, and recommendations to senior leaders and stakeholders, ensuring transparency and accountability.
  • Keep abreast of industry trends, regulatory changes, and emerging risks related to AI governance to proactively address potential threats.

Required qualifications, capabilities and skills

  • 3+ years of experience in product management, technology governance, risk management, or compliance within regulated industries such as financial services.
  • Basic understanding of AI/ML (including generative AI) and data governance, MLOps, and technology governance/risk/compliance principles.
  • Proven experience in business analysis to identify critical requirements by understanding complex and interdependent processes.
  • Strong critical thinking and problem-solving skills, with the ability to identify and mitigate risks effectively.
  • Excellent presentation and communication skills, with the ability to convey complex information to senior leaders and stakeholders.
  • Proven ability to collaborate effectively across cross-functional teams and build strong working relationships.

Preferred qualifications, capabilities and skills

  • Experience with public cloud platforms (e.g., AWS, GCP, Azure) is a plus.
  • Certifications in AI governance, data governance, or related fields.

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

Employees

New York City

Headquarters

$500B

Valuation

Reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.1

Culture

3.8

Career

3.0

Management

2.5

65%

Recommend to a friend

Pros

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

Cons

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

Salary Ranges

41 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1 reports

$139,000

total per year

Base

$107,000

Stock

-

Bonus

-

$139,000

$139,000

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

40%

Experience

Positive 20%

Neutral 80%

Negative 0%

Interview process

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study