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applied ai ml modeling vice president

JPMorganChase

<div>JOB DESCRIPTION 
Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness.
As an Applied AI Modeling Vice President in Branch Network Modeling team, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase&rsquo;s branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.
Job responsibilities<ul><li>
Develop and launch AI and ML models that solve complex, ambiguous business problems in Consumer Banking, spanning areas such as retail network optimization, investment optimization, resource allocation, and sales effectiveness.
</li><li>Lead modeling engagements end-to-end, including interfacing with business, governance, UX, and technology stakeholders; articulating clear business use cases; delivering on project plans; and working with large, complex datasets &mdash; including geospatial, demographic, transactional, and behavioral data &mdash; to formulate testable business hypotheses.
</li><li>Translate technical model outputs into clear, actionable recommendations for non-technical business partners in Real Estate, Finance, and Market Strategy.
</li><li>Partner with governance teams to expedite fair and thorough model reviews, track performance metrics, and maintain adherence to regulatory compliance standards.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Advanced degree (master&rsquo;s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.</li><li>
4+ years of hands-on, relevant industry experience in developing and deploying AI/ML models, including statistical modeling, ML, reinforcement learning, or optimization algorithms.
</li><li>Proficient in Python with hands-on experience in ML and deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab and cloud computing.
</li><li>Deep expertise in at least one of the following, with meaningful exposure to at least one other:
<ul><li>Geospatial analytics, spatial statistics, or spatial optimization
</li><li>Graph neural networks, network science, or graph-based optimization
</li><li>Reinforcement learning, multi-armed bandits, or online/continuous learning
</li><li>Behavioral modeling, adaptive intervention design, or human performance optimization
</li></ul></li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Hold a PhD in a relevant discipline.</li><li>
Experience developing advanced AI or ML models in consumer finance, logistics, major retailers, or AI-native platforms.
</li><li>Experience with at least one of the following: geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS, Carto, Wherobots, QGIS), graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX), RL libraries (e.g., RLlib, Stable Baselines, Vowpal Wabbit).
</li><li>Familiarity with behavioral science concepts (e.g., nudge theory, decision theory) or experience building adaptive, continuous learning, or recommendation systems.
</li><li>Experience with Databricks, Snowflake, or similar platforms.
</li></ul>ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; 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&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Applied AI/ML Modeling - Vice President

Meltwater

<div>Description 
 
Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater&rsquo;s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community.
 
 
Our AI team is young, ambitious and focused on innovation.
 
 
With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. 
 
Read our underthehood blog to see which problems our engineers are solving. 
 
Meltwater&rsquo;s Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers. 
 
We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. 
 
As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact. 
 
What we're looking for: 
 
This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning. 
 
Our team is organized over 3 objectives : innovation, research and production. 
 
Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. 
 
Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. 
 
Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day. 
 
Responsibilities: 
<ul><li>
Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team.</li><li>
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems</li><li>
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems</li><li>
Design, run, and iterate on machine learning experiments to improve model quality and product impact</li><li>
Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems</li><li>
Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement.</li></ul> 
 What You'll Do: 
<ul><li>
Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation &amp; prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems.</li><li>
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems</li><li>
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems</li><li>
You&rsquo;ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities</li><li>
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring</li><li>
Experience building industry-scale user-facing ML/AI/Agentic applications</li><li>
Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)</li><li>
Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, &hellip;) is a plus</li></ul> 

What You'll Bring: 
<ul><li>
2 - 5 years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.</li><li>
Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis</li><li>
Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems</li><li>
Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems</li><li>
You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.</li><li>
Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)</li><li>
Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve</li><li>
You are a team-player, self-learner and autonomous</li><li>
MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field</li></ul> 

What We Offer: 
<ul><li>
You will work with a team of passionate people who are always willing to help and learn from others</li><li>
You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business</li><li>
As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference</li><li>
Enjoy flexible paid time off that allows you to have an enhanced work-life balance.</li><li>
Excellent medical, dental, and vision options</li><li>
401(k) matching, life insurance, commuter benefits, and parental leave plans</li><li>
Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.</li><li>
Energetic work environment with a hybrid work style, providing the balance you need.</li><li>
Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.</li><li>
Total compensation range for this position: $150-200 per year (Depending on insurance)</li></ul> 

Where You'll Work: 
New York 
 
When you'll join: 
May/June 2026 
 
Our Story 
 
At Meltwater, we believe that when you have the right people in the right environment, great things happen. 
 
Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. 
 
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way. 
 
We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. 
 
We&rsquo;re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career. 
 
We are Meltwater. Inspired by innovation, powered by people. 
 
Our Team 
 
Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. 
Read our under-the-hood blog to see which problems our engineers are solving. 
 
Equal Employment Opportunity Statement 
Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. 
 
All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. 
 
Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
 
 
We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws</div>

Machine Learning Engineer

<div>JOB DESCRIPTION 
As a Vice President- Data &amp; Ai Business Adoption in Fusion for JPMorgan, you will collaborate closely with Business and Product stakeholders to surface and prioritize high‑impact use cases, accelerating delivery through Fusion for JPMorgan for our comprehensive, cloud‑native data and AI platform. You will ensure a seamless, structured handover to the Fusion Customer Success and Product teams by transferring comprehensive customer context&mdash;goals, business challenges, and value proposition&mdash;to guide implementation and assess product gaps, ensuring information continuity across teams and accelerating time-to-value.
Job Responsibilities:<ul><li>
Build and deepen executive partnerships across JPMorganChase businesses and Corporate Functions to align Fusion adoption with priority outcomes and funding.</li><li>
Shape and prioritize a high‑impact use‑case portfolio, quantify value, and secure sponsorship to accelerate delivery through Fusion&rsquo;s cloud‑native data and AI capabilities.</li><li>
Lead structured discovery to define problem statements and facilitate deep‑dive workshops with Fusion Customer Success and Product to quickly align on the business problem.</li><li>
Ensure a seamless sales‑to‑implementation handover to Fusion Customer Success and Product, transferring customer goals, challenges, and value proposition to guide implementation and assess product gaps, ensuring information continuity across teams and accelerating time‑to‑value.</li><li>
Define and report outcomes tied to business value (e.g., revenue, efficiency, risk reduction, cycle‑time); drive continuous improvement using adoption and utilization metrics.</li></ul>
Required Qualifications, Capabilities, and Skills:<ul><li>
7 yrs+ experience in Financial Services, Enterprise Data &amp; AI, Cloud firm.
</li><li>Domain expertise in one or more JPMorganChase businesses/functions (e.g., asset/portfolio management, retail banking, credit, fraud, or commercial banking), with a track record of translating business needs into data/AI solutions.</li><li>
Strong foundation in data and AI&mdash;including data architecture (ingestion, modeling, governance, quality), analytics/ML lifecycle, MLOps/observability&mdash;with working knowledge of GenAI and agentic AI patterns and their appropriate use cases.</li><li>
Proven facilitation skills to lead discovery and deep‑dive workshops with Business, Customer Success, and Product; adept at synthesizing complex inputs into clear problem statements.</li><li>
Executive communication and storytelling skills&mdash;able to align stakeholders, articulate value hypotheses, and secure sponsorship.</li><li>
Experience prioritizing and managing a portfolio of use cases with quantified value, clear success metrics, and phased delivery plans.</li><li>
Experience with cloud‑native data/AI platforms and modern tooling; skills in Python, GenAI, prompt management/orchestration, and Salesforce.</li><li>
Proven ability to manage projects, coordinate cross‑functional teams, and deliver results in a fast‑paced environment, with strong problem‑solving skills and adaptability to changing client needs.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Vice President - Data & AI Business Adoption

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) organization sets the firm's data and AI strategic direction, delivers firmwide data/AI solutions and expertise, and sets standards for responsible and controlled adoption of Databricks and/or Snowflake. As a Vice President-Product Manager in the Chief Data &amp; Analytics Office (CDAO) SaaS Data Infrastructure Team, you are an integral part of unveiling cutting-edge Data &amp; AI/ML products across the entirety of JPMC, while leading the end-to-end product life cycle. As a product manager, you are responsible for revolutionizing how the product team stays organized and communicates. You are responsible for acting as the voice of the customer, while utilizing your deep understanding of our Data Products &amp; AI/ML roadmap; you guide successful launches, champion crucial feedback, and ensure top-tier client experiences.
Job responsibilities<ul><li>
Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle.</li><li>
Understand the data/technology landscape across Financial Institutions and data management trends and challenges.</li><li>
Define and support strategic initiatives for firmwide Databricks &amp; Snowflake features.
</li><li>Drive continuous improvement of operating models by identifying strategic opportunities to enhance planning processes, developing innovative tools and methodologies, and championing the adoption of best practices that increase organizational productivity and strategic agility.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
5+ years of relevant experience with product management or program management responsibilities.</li><li>
Knowledge of emerging technologies (GenAI, Agentic solutions) with a goal of learning how to drive strategic process innovation and operational excellence.</li><li>
Must have experience with some of the following cloud computing platforms: Databricks, AWS, Snowflake, and Azure</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Product Manager - Databricks and Snowflake

<div>JOB DESCRIPTION 
At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data‑driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. 
As a Marketing Delivery Lead, Vice President &ndash; Web Analytics &amp; Data in the Digital Performance team, you will own the end‑to‑end web analytics product strategy across public websites, mobile applications and advisor‑facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI‑powered web data solutions that deliver predictive and intelligent analytics to the business.
You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data‑driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high‑quality analytics solutions.
Job responsibilities<ul><li>
Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert.
</li><li>Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making.</li><li>
Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards.</li><li>
Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties.</li><li>
Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient.</li><li>
Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines.</li><li>
Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards.</li><li>
Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders.</li><li>
Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data.</li>
Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. 
<li>
</li></ul>Required qualifications, capabilities and skills<ul><li>
5+ years of experience in digital analytics, web analytics or analytics product management.</li><li>
Deep hands‑on expertise with Google Analytics (GA4) and tag management platforms.</li><li>
Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools.</li><li>
Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non‑technical audiences.</li><li>
Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery.</li><li>
Solid understanding of data layer architecture, event tracking and digital measurement frameworks.</li><li>
Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions.</li><li>
Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast‑paced, matrixed environment.</li><li>
Experience in financial services or another highly regulated industry.</li><li>
Hands‑on experience with AI or machine learning tools applied to web data.</li><li>
Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking.</li><li>
Familiarity with BI and data visualization tools.</li>
Experience with Adobe Analytics in addition to Google Analytics. 
<li>
</li></ul>Preferred qualifications, capabilities and skills<ul><li>
Experience in financial services or another highly regulated industry.</li><li>
Hands‑on experience with AI or machine learning tools applied to web data.</li><li>
Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking.</li><li>
Familiarity with BI and data visualization tools.</li><li>
Experience with Adobe Analytics in addition to Google Analytics.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Marketing Delivery Lead, Vice President – Web Analytics & Data

<div>JOB DESCRIPTION 
Our Consumer &amp; 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&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you&rsquo;ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You&rsquo;ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI/ML Vice President in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank&rsquo;s day-to-day operations. You&rsquo;ll work hands-on across the end-to-end model lifecycle&mdash;partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities:<ul><li>Oversee the analysis of complex datasets to inform decisions on real-world applications.</li><li>Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
</li><li>Supervise data analysis activities and ensure effective visualizations are provided.</li><li>Ensure the writing and deployment of software code in production systems is efficient and meets standards.</li><li>Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
</li><li>Communicate complex issues clearly and credibly to senior management and stakeholders.
</li><li>Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.</li></ul><div>
Required qualifications, capabilities and skills: 
<ul><li>Master's degree in computer Science, Machine Learning, or a related field with 4+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 2+ year of experience.
</li><li>Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
</li><li>Solid understanding of core CS concepts, including common data structures and algorithms.</li></ul></div><div>
Preferred qualifications, capabilities and skills: 
<ul><li>Experienced in conducting design and code reviews.</li><li>Proficient in cloud environments such as AWS, GCP, or Azure.</li><li>Experienced in managing and deriving insights from large, both unstructured and structured datasets.</li></ul></div> 
 
&ldquo;This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries.&rdquo;
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; 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&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Vice President

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