Vice President Product Solutions - AI & Data Specialist
Company: JPMorgan Chase & Co.
Location: New York
Posted on: March 1, 2025
Job Description:
Leverage your problem-solving skills to thrive in a fast-paced
environment and drive customer-centric strategies. As a leader in
solutioning, collaborate closely with the Sales teams to deliver
tailor-made product solutions that meet clients' needs.
As a Product Solutions Manager in The Chief Data and Analytics
Office Product and Platform team, you are an integral part of a
team that defines and configures complex solutions for key client
relationships and prospect opportunities in partnership with Sales.
You are responsible for acting as the voice of the customer by
understanding their needs and communicating feedback to the Product
teams. You will engage with JPMorgan Chase's clients across Line of
Businesses and Corporate Functions to help them use the Firm-wide
Chief Data and Analytics Office Product and Platform solutions
across Data, AI, Governance and Analytics. You will build expertise
in Chief Data and Analytics Office Platform capabilities, create
and maintain high-quality user documentation and training materials
and guide clients in leveraging tools and capabilities to enable
their data and analytics plans for the future. We are seeking a
highly motivated specialist with a good foundational knowledge in
Data and AI/ML technologies.The Chief Data and Analytics Office
Product and Platform team is responsible for designing and
delivering governance, discovery, access, and data and AI services,
empowering JPMorgan Chase teams to accelerate their data and
analytics journeys and maximize commercial outcomes. The Chief Data
and Analytics Office Product and Platform Client Engagement Team is
responsible for account management, solutions, implementation and
client service to JPMorgan Chase Lines of Business and Corporate
Functions. You will have a keen interest in customer engagement and
possess the ability to work collaboratively within cross-functional
teams, you are a significant contributor to a team that defines and
configures complex product solutions for key client relationships
and prospect opportunities. You draw from research and client
feedback to develop unique product solutions in partnership with
Sales and coordinate with product teams to support new product
development.Job responsibilities
- Leads solutioning and the adoption of existing and upcoming
client-facing products and capabilities while defining and
configuring optimal solutions that address clients' needs and
activities.
- Serves as a subject matter expert on a defined set of products
and capabilities with a deep understanding of our clients' needs
and current industry trends.
- Supports Sales in pricing, pipeline planning, account planning,
and upskilling the team on product knowledge by collaborating on
training and collateral materials.
- Engages with client teams to better understand pain points and
refine solutions while regularly communicating critical client
feedback to Product teams to inform the strategic product roadmap.
Collaborate closely with product management and engineering teams
to influence product development, ensuring that products are
designed with a deep, detailed understanding of customer needs.
Advocate for customer-centric design principles and prioritize
features that enhance user experience.
- Provide expert guidance and support to both internal team
members and LOB customers, and continuously update knowledge to
stay abreast with technology advancements. Have good programming
skills in at least one of the commonly used languages for data
analysis (e.g., Python, R, MATLAB, Scala).Build knowledge of
open-source data analysis tools and machine learning libraries.
Develop in-depth, expertise in one of the assigned Product Area
tools or capabilities, such as Databricks and CADS in Data, or
Sagemaker Studio and MLFlow in Experimentation for example. Be
recognized as a subject matter expert within the team
anddemonstrate advanced knowledge and application of the assigned
Product Area capabilities, features and tooling for Line Of
Business use cases.Provide clients with training and demonstrations
to use the products effectively.
- Develop and execute well thought out implementation plans
tailored to the specific needs of a given effort. Track risks and
issues, develop mitigation plans, and address timely status updates
to stakeholders. Drive projects from inception to completion with
thoughtful design and alignment with the defined strategy.
- Maintain close familiarity with the specifics of assigned
implementations or projects to have an accurate view of facts on
the ground. Use this knowledge to influence and drive project
success.Identify and implement process enhancements, such as
efficient issue triage and streamlined new feature requests, to
improve Client Engagement team efficiency and effectiveness KPIs.
Effectivelybalance multiple tasks, client engagements and
continuous learning and be comfortable in a fast-moving environment
with often loosely defined tasks and requirements.
- Work closely with product and engineering teams to recommend a
seamless customer experience and support business development
efforts.Build good relationships with stakeholders to facilitate
collaboration and alignment on strategic plans for the
future.Provide feedback to product and engineering teams to help
shape product development and strategy.
- Identify potential risks in Data and AI/ML solutions and
develop strategies to mitigate them. Explain reliable and secure
product implementations by proactively addressing vulnerabilities
and maintaining compliance with JPMC and industry standards. Engage
in product testing providing release signoffs, coordinate Alpha and
Beta testing of products.
- Demonstrate proactive-ness by engaging early in processes such
as learning new features and capabilities, updating user guides,
FAQs, or other customer-facing content. Anticipate customer needs
and take initiative to address them.Develop or contribute to
product documentation, examples, tutorials, reference
implementations, SDKs that will be used by LOB data science
practitioners andconduct sessions to educate clients on product
features and new ideas.
- Facilitate and promote effective communication and transparency
through consistent, detailed, and intuitive updates of Salesforce
content. Create presentable, intuitive and high-quality customer
facing artifacts such as roadmaps, product solutions documentation.
Establish and monitor key performance indicators (KPIs) to measure
the success of delivered customer solutions. Use these metrics to
drive continuous improvement and address that customer outcomes
align with business plans for the future. Provide ongoing
assistance to help clients troubleshoot issues and optimize their
use of the product, triage client service requests, incidents, and
feedback.Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in
problem-solving across multiple teams and a cluster of
products
- Extensive experience working in a sales cycle and engaging with
clients on new ideas.
- Experience modifying preconfigured solutions to meet complex
problems.
- Demonstrated prior experience working in a highly matrixed and
complex organization.
- Understanding of a wide range of statistical models (for
example regression, tree-based methods, artificial neural
networks)
- Good programming skills in at least one of the commonly used
languages for data analysis (for example Python, R, MATLAB,
Scala).
- Experience with applying data science/quantitative modeling to
real world, financial use cases.
- Knowledge of open-source data analysis tools and machine
learning libraries
- Experience in creating technical documentation and
presentations and the ability to present to a technical and
non-technical audience.
- Comfortable in a fast-moving environment with often loosely
defined tasks where interaction with senior management is
required.
- Passion and motivation for constant learningPreferred
qualifications, capabilities, and skills
- Master's degree or Ph.D. in a quantitative discipline
- Knowledge of cloud data science and machine learning
services
- Experience with tools for large scale and distributed data
analysis (for example Spark)
- Understanding of capital markets, corporate finance, banking
and/or asset management
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Keywords: JPMorgan Chase & Co., New York , Vice President Product Solutions - AI & Data Specialist, Executive , New York, New York
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