DescriptionThe Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management Analytics and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO theData for AI Product Management teamcreates reusable platform solutions that transform how data producers and consumers discover access govern and leverage data.
As a Data for AI Product Manager you will play a pivotal role in simplifying the data access and integration experience for data scientists during model training experimentation and serving. This involves building a seamless end-to-end experience for data scientists right from data discovery to access to integration. Were looking for someone wholeads with problems not solutionswho deeply understands user pain points identifies high-impact opportunities and builds scalable platform capabilities that enable thousands of data practitioners to move faster.
What Youll Do
Own Product Vision & Drive Impact
- Define strategy and roadmap for data access within ML training and serving platforms (SageMaker EMR Databricks)
- Define success metrics tied to business impact: reduced time-to-model increased adoption improved governance
- Take end-to-end ownership from problem discovery through delivery adoption and iteration
Build with Platform Thinking
- Design composable reusable solutions that integrate seamlessly with the broader CDAO platform ecosystem.
- Balance short-term user needs with long-term platform scalability and extensibility
Collaborate Deeply with Engineering
- Partner with engineering teams to translate user problems into technical solutionsAPIs SDKs infrastructure
- Write detailed product requirements that engineers can execute against along with technical product documentation for customers
- Make informed trade-offs between technical complexity user experience and time-to-market
Champion User Empathy
- Spend time with data scientists ML engineers and data engineers to understand their workflows and pain points
- Partner with UX research teams for usability testing rapid prototyping and user validation
- Build delightful experiences that balance functional and non-functional requirements
Leadership
- Proactively identify opportunities to streamline workflows and accelerate model development
- Influence cross-functional stakeholders (engineering architecture data science governance UX) to drive outcomes
- Learn and adapt in a dynamic and fast-paced environment.
Required Skills
- 6 years in technical product managementdelivering platform products or developer tools or infrastructure solutions from ideation to production
- Proven track record of impact: Built products that measurably improved user workflows increased adoption or reduced friction
- Platform thinking mindset: Design for reusability composability and scalenot one-off solutions
- Technical depth: Practical knowledge of industry wide Training and Serving platforms such as AWS SageMaker EMR etc.
- Strong communication: Translate technical complexity into clear narratives for engineers and executives
- Prioritization skills: Balance competing demands by understanding business impact user value and technical feasibility
Preferred
- Experience infinancial servicesor highly regulated industries
- Familiarity withdata platform technologies: data catalogs feature stores governance frameworks data quality tools
- Knowledge ofML lifecycle tools: feature engineering model training serving monitoring observability
- Experience withopen-source and commercial platforms: Snowflake Databricks Airflow Kafka
Why Join Us
- Work onfirm-wide platformsused by thousands of data scientists ML engineers and analysts across JPMC
- Shape the future ofAI/ML and data infrastructureat one of the worlds largest financial institutions
Required Experience:
IC
DescriptionThe Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management Analytics and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO theData for AI Product Management teamcreates reusable platform solutions that transform how data producers and...
DescriptionThe Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management Analytics and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO theData for AI Product Management teamcreates reusable platform solutions that transform how data producers and consumers discover access govern and leverage data.
As a Data for AI Product Manager you will play a pivotal role in simplifying the data access and integration experience for data scientists during model training experimentation and serving. This involves building a seamless end-to-end experience for data scientists right from data discovery to access to integration. Were looking for someone wholeads with problems not solutionswho deeply understands user pain points identifies high-impact opportunities and builds scalable platform capabilities that enable thousands of data practitioners to move faster.
What Youll Do
Own Product Vision & Drive Impact
- Define strategy and roadmap for data access within ML training and serving platforms (SageMaker EMR Databricks)
- Define success metrics tied to business impact: reduced time-to-model increased adoption improved governance
- Take end-to-end ownership from problem discovery through delivery adoption and iteration
Build with Platform Thinking
- Design composable reusable solutions that integrate seamlessly with the broader CDAO platform ecosystem.
- Balance short-term user needs with long-term platform scalability and extensibility
Collaborate Deeply with Engineering
- Partner with engineering teams to translate user problems into technical solutionsAPIs SDKs infrastructure
- Write detailed product requirements that engineers can execute against along with technical product documentation for customers
- Make informed trade-offs between technical complexity user experience and time-to-market
Champion User Empathy
- Spend time with data scientists ML engineers and data engineers to understand their workflows and pain points
- Partner with UX research teams for usability testing rapid prototyping and user validation
- Build delightful experiences that balance functional and non-functional requirements
Leadership
- Proactively identify opportunities to streamline workflows and accelerate model development
- Influence cross-functional stakeholders (engineering architecture data science governance UX) to drive outcomes
- Learn and adapt in a dynamic and fast-paced environment.
Required Skills
- 6 years in technical product managementdelivering platform products or developer tools or infrastructure solutions from ideation to production
- Proven track record of impact: Built products that measurably improved user workflows increased adoption or reduced friction
- Platform thinking mindset: Design for reusability composability and scalenot one-off solutions
- Technical depth: Practical knowledge of industry wide Training and Serving platforms such as AWS SageMaker EMR etc.
- Strong communication: Translate technical complexity into clear narratives for engineers and executives
- Prioritization skills: Balance competing demands by understanding business impact user value and technical feasibility
Preferred
- Experience infinancial servicesor highly regulated industries
- Familiarity withdata platform technologies: data catalogs feature stores governance frameworks data quality tools
- Knowledge ofML lifecycle tools: feature engineering model training serving monitoring observability
- Experience withopen-source and commercial platforms: Snowflake Databricks Airflow Kafka
Why Join Us
- Work onfirm-wide platformsused by thousands of data scientists ML engineers and analysts across JPMC
- Shape the future ofAI/ML and data infrastructureat one of the worlds largest financial institutions
Required Experience:
IC
View more
View less