Vice President, Modelling Data Scientist | Senior Data Scientist
Listed on 2026-06-26
-
IT/Tech
Data Analyst, Data Scientist
Sr Product Delivery Lead
As a Sr Product Delivery Lead on the Data & Analytics Capabilities and Innovation team, you will work in a fast‑paced, agile, startup‑like environment partnering with engineering, designers, internal and external data publishers, data consumers and product managers to successfully move early‑stage prototypes into launch. You’ll accelerate the value our data marketplace delivers by achieving maximum efficiency, scale and time to insight, making our data assets easily discoverable and searchable by both analysts and machines.
Job Responsibilities- Collaborate with functional teams (analysts, data science, software engineering, database engineering, application management, etc.) to ensure end‑to‑end delivery of the product, identifying and managing dependencies and/or opportunities for collaboration while following core Agile principles.
- Work with key stakeholders in analytics, business, and technology to deliver leading‑edge innovation with the customer and the business impact in mind.
- Support analysts through our feedback channels to ensure their success, and use information gathered to influence our product roadmap.
- Ensure adoption of the product by staying hyper‑focused on the needs of our user community, evangelizing the benefits of the Data Marketplace.
- Employ data analytics to measure the success of the product; establish a framework and operating model to continue ensuring the quality of the product over time.
- Vigilantly follow Chase’s data use, privacy, legal, and compliance guidelines and contribute to the firm’s enhancement of data governance, use, and management principles and tools.
- 5+ years combined experience in a data analytics technical product development and delivery function with strong technical skills.
- Bachelor’s degree in a STEM discipline relevant to analytics.
- Strong project management skills – the ability to manage multiple projects and prioritize work requirements in a multi‑disciplinary team setting.
- Outcome oriented – ability to focus on features that drive the highest ROI for marketplace users and stakeholders.
- Solid understanding of how data and analytics are performed and used to drive value.
- Knowledge of modern forms of product planning, customer discovery, product discovery, and product development processes.
- Demonstrated ability to solve hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well‑structured, data‑informed, written narrative.
- Driven, with an entrepreneurial spirit.
- Ecommerce marketplace experience is a huge plus.
Hybrid – 60% in‑office.
Relocation assistance is not offered or supported for this role.
Benefits and CompensationWe offer a competitive total rewards package including base salary determined by role, experience, skill set, and location. For eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. Benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
Equal Opportunity Employer StatementWe are an equal opportunity employer and place a high value on diversity and inclusion. 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.
ResearcherAs a researcher, you will collaborate with a distributed team of academics, engineers, and investment professionals to develop methodologies for products solving corporate‑wide client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, machine learning, and optimization.
Respon…(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).