JPMorgan Vice President Product Solutions - AI & Data Specialist 

United States, New York, New York 

14808567

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 and demonstrate 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. Effectively balance 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 and conduct 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 learning

Preferred 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