
Data Analytics and AI VP
Jersey City, NJFull-time$147–200K/yrSeen 1 day agoSeen in employer's feed 1 day ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near Jersey City, NJ, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
JPMorgan Chase is seeking a Vice President for its Portfolio and Execution Management function within Business Enablement and Transformation. The role will advance Infrastructure Platforms’ data and decision intelligence capabilities using analytics, automation and approved AI-enabled solutions. It will support portfolio management, investment governance and strategic execution by helping leaders assess portfolio health, prioritize investments, identify risks and drive execution outcomes.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Data Analytics and AI VP
Jersey City, NJ, United States
Job Information
-
Job Identification 210798582
-
Job Category Technical Program Delivery
-
Business Unit Corporate Sector
-
Posting Date 10/08/2026, 03:55 PM
-
Locations 575 Washington Blvd, Jersey City, NJ, 07310, US
-
Job Schedule Full time
-
Base Pay/Salary Jersey City,NJ $147,250.00-$200,000.00
Job Description
We are seeking a Vice President to join the Portfolio and Execution Management function within the Business Enablement and Transformation team.
As a VP, you will lead the evolution of Infrastructure Platforms' data and decision intelligence capabilities, enabling faster, more informed and more proactive decision-making across portfolio management, investment governance and strategic execution. Leveraging advanced analytics, automation and approved AI-enabled solutions, the role will transform how leaders understand portfolio health, prioritize investments, identify risk and drive execution outcomes.
Job responsibilities:
-
Developing data solutions to support business and management reviews and decision forums. Structuring analytics to identify potential opportunities for enterprise change and improvement.
-
Design and implement AI-enabled decision-support solutions that leverage machine learning, predictive analytics and generative AI techniques to improve portfolio prioritization, investment governance and execution outcomes and surface trends, risks, anomalies and recommended actions.
-
Leveraging data visualization and data transformation tools to build impactful dashboards for leadership and IP stakeholders.
-
Partner with technology, product, risk and controls stakeholders to ensure AI-enabled reporting and automation use appropriate human review, data lineage, access controls and transparent assumptions.
-
Help define reusable analytics patterns, prompts, metrics definitions and reporting standards so insights are consistent, auditable and scalable across IP stakeholders.
-
Working with stakeholders and subject matter experts on requirements for key business metrics, data sourcing, visualization, and publishing.
-
Independently managing multiple efforts simultaneously across a range of domains.
Required qualifications, capabilities and skills:
-
8+ years of hands-on experience developing analytical solutions in a fast-paced environment (preferably financial services) and/or experience in management consulting with a heavy emphasis on quantitative analysis.
-
Thrive in a fast-paced, high-impact environment—ability to prioritize ruthlessly, and making disciplined trade-offs to deliver high-quality outcomes in a dynamic environment.
-
Demonstrated problem-solving and issue identification skills, along with the ability to structure ambiguous problems and synthesize quantitative and qualitative inputs into clear recommendations.
-
Interpersonal leadership and influencing skills. Proven stakeholder management skills and ability to influence across a matrix.
-
Bachelor’s Degree (or higher) in a quantitative discipline (e.g. Computer Science, Engineering, Applied Statistics, Mathematics or similar)
-
Strong experience with enterprise data ecosystems, including SQL, APIs, cloud-based data platforms, data modeling and data integration architectures. Ability to build and scale reusable data products, analytic assets and self-service decision-support capabilities.
-
Experience leveraging Generative AI, LLM-based solutions, Copilot technologies, retrieval-augmented generation (RAG), AI-assisted analytics platforms or similar enterprise AI capabilities.
-
Familiarity with infrastructure and cloud technology a plus, e.g., datacenter compute, storage, database, network, mainframe, middleware a plus
-
Strong creative problem-solving skills. Ability to set goals, prioritize and manage across complex workstreams, and drive thinking and progress proactively and independently.
-
Comfort with ambiguity, including the application of skills within new and unfamiliar domains. Demonstrated ability to communicate complex analytical insights and AI-driven recommendations to senior executives and influence strategic decisions.
-
The successful candidate will be expected to use AI responsibly, applying sound judgment, human oversight, transparency, data-quality discipline and appropriate controls when developing AI-assisted analytics, automation and executive reporting capabilities.
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Senior AI Data & Analytics Engineer IISamsara · Remote · US · $137–231K/yrPosted 3 days agoPosted 3 days ago
Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit ProgramCelonis · New York, NY (Hybrid) · $90–95K/yrPosted 1w agoPosted 1w agoData Scientist - FraudPlaid · New York, NY (Hybrid) · $176–227K/yrPosted 4w agoPosted 4w ago
Senior Analytics EngineerMercury · Remote · US · $167–208K/yrPosted 5 days agoPosted 5 days ago
Product Data Scientistbaseten · San Francisco, CA (Hybrid) · $185–240K/yrPosted 4 days agoPosted 4 days ago
You've read the whole posting — now see how you match it.