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- Tasks: Lead the design and implementation of AI & Data governance product features.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and development.
- Other info: Remote work options available; we value diverse perspectives and inclusive practices.
- Why this job: Make an impact by ensuring ethical AI use while working with cross-functional teams.
- Qualifications: 1-4 years in product management or compliance; understanding of AI/ML is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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  
1-4 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. 
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Sr Product Associate - Product Manager - Governance - Data Classification employer: J.P. MORGAN-1
Contact Detail:
J.P. MORGAN-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Product Associate - Product Manager - Governance - Data Classification
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data governance. Understanding the current landscape will not only help you in interviews but also demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the industry, especially those working in AI/ML and data governance. Attend relevant webinars or conferences to make connections and gain insights that could give you an edge during the application process.
✨Tip Number 3
Prepare to discuss specific examples of how you've identified and mitigated risks in previous roles. This will showcase your problem-solving skills and your ability to handle the responsibilities outlined in the job description.
✨Tip Number 4
Research J.P. Morgan's recent initiatives in AI and data governance. Being able to reference their projects or values during your discussions will show your genuine interest in the company and its mission.
We think you need these skills to ace Sr Product Associate - Product Manager - Governance - Data Classification
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Sr Product Associate position. Tailor your application to highlight relevant experiences in product management, technology governance, and compliance.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in product management and any familiarity with AI/ML technologies. Use specific examples that demonstrate your ability to manage risks and ensure compliance within regulated industries.
Showcase Communication Skills: Since the role requires excellent presentation and communication skills, include examples of how you've effectively conveyed complex information to stakeholders in previous roles. This could be through presentations, reports, or collaborative projects.
Tailor Your Cover Letter: Craft a compelling cover letter that connects your background to the job description. Discuss your understanding of AI governance and data management, and express your enthusiasm for contributing to J.P. Morgan's initiatives in these areas.
How to prepare for a job interview at J.P. MORGAN-1
✨Understand the Role
Make sure you have a solid grasp of what the Sr Product Associate role entails, especially in terms of AI and Data governance. Familiarise yourself with the key responsibilities and how they align with the company's goals.
✨Showcase Your Experience
Prepare to discuss your previous experience in product management, technology governance, or compliance. Highlight specific projects where you've successfully implemented AI/Data governance frameworks or managed risks.
✨Communicate Clearly
Since you'll be presenting updates and findings to senior leaders, practice conveying complex information in a clear and concise manner. Use examples from your past to illustrate your points effectively.
✨Stay Updated on Industry Trends
Research current trends and regulations in AI and Data governance. Being knowledgeable about emerging risks and best practices will demonstrate your commitment to the field and your proactive approach.