Promote Data and AI strategy, spearhead product development, as Vice President in Securities Services Data and AI Centre of Excellence.
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As the Data and AI Product Manager within the Securities Services Data Product Management team, you will promote the strategy, development, and delivery of our Data and AI solutions. You will partner closely with engineering, operations, and business teams to define and execute the product vision, strategy, and roadmap for the Securities Services Data and AI Center of Excellence, aligning with business objectives and client needs.
Job responsibilities
- Work on Product Strategy & Roadmap:
Define and execute the product vision, strategy, and roadmap for the Securities Services Data and AI Centre of Excellence, aligning with business objectives and client needs. - Technical Leadership:
Provide hands-on guidance in data and agentic AI architecture, data ingestion, processing, and analytics, RAG, prompt engineering and applying AI/ML solutions on data lake for data discovery and optimization. Collaborate with engineering teams to design scalable and robust solutions. - Data Quality & Lineage:
Champion best practices for data quality, data lineage, and metadata management. Implement frameworks and tools to ensure data integrity, traceability, and transparency across. - Stakeholder Management:
Engage with internal and external stakeholders, including business users, technology teams, and clients, to gather requirements and prioritize features. - Delivery & Execution:
Oversee end-to-end product delivery, from concept to deployment, ensuring high-quality releases and continuous improvement. Applied AI Leadership:
Expertise and experience in building AI and ML solutions to create scalable impact
Required qualifications, capabilities & skills :
- Bachelor’s or Master’s degree in computer science, Engineering, or related field.
- 7+ years of experience in technical product management, data engineering, or related roles, with significant exposure to data lake technologies (e.g., Databricks, Hadoop, Spark, AWS, Azure) and AI/ML solutions on financial data.
- Hands-on experience with AI and Data, including building and managing scalable data pipelines and AI analytics solutions.
- Strong background in securities services, financial data, or capital markets.
- Proven track record of delivering complex, large-scale data solutions in a hands-on capacity.
- Deep understanding of data architecture, ETL processes, data quality frameworks, data lineage, and analytics platforms.
- Deep understanding of context engineering, RAG, fine-tuning AI models on structured and unstructured data
- Excellent communication, stakeholder management, and leadership skills.
- Experience working in global, cross-functional teams.
About Us
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.
Skills Required
- Bachelor's or Master's degree in computer science, engineering, or a related field
- 7+ years of experience in technical product management, data engineering, or related roles
- Significant experience with data lake technologies, including Databricks, Hadoop, Spark, AWS, or Azure
- Hands-on experience building and managing scalable data pipelines and AI analytics solutions
- Strong background in securities services, financial data, or capital markets
- Track record delivering complex, large-scale data solutions in a hands-on capacity
- Deep understanding of data architecture, ETL processes, data quality, data lineage, metadata management, and analytics platforms
- Experience with context engineering, RAG, and fine-tuning AI models using structured and unstructured data
- Excellent communication, stakeholder management, and leadership skills
- Experience working in global, cross-functional teams
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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