Manager, Product Management – Data Infrastructure

Jobtailor; California (MO); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor is seeking a Product Manager to help build out and scale operational data infrastructure, integrate machine learning models, and collaborate with partner teams to enable smarter segmentation and decisioning. The role emphasizes cross-functional work with risk management and enterprise platforms, identifying high-leverage data sources and patterns to drive P&L impact.

You will translate business strategy into consumer-facing digital products while delivering end-to-end experiences for

Qualifications

• Bachelor's or Master's in a quantitative field or Business/Marketing with PM experience.
• Experience translating business strategy into consumer-facing digital products.
• Strong data-driven decision making and ML integration experience.

Responsibilities

• Translate strategy into consumer-facing digital products while collaborating with cross-functional teams.
• Integrate machine learning models to enhance operational data infrastructure and analytics.

Skills

Product Management Experience

Machine Learning Integration

Operational Data Infrastructure

Quantitative Analysis

Consumer Facing Digital Products

Education

Bachelor's or Master's in Quantitative Field

Bachelor's + 3 years PM experience

Tools

Enterprise Platforms

Risk Management Systems

Job description

This Product Manager would be joining a team dedicated to building out and expanding operational data infrastructure, integrating machine learning models into our ecosystem, and working closely with partner teams to enable smarter segmentation and decisioning.
Scope includes working with Enterprise platforms to identify new technology, patterns and data sources, business partners to identify the highest leverage areas for expanding capabilities, and with risk management to ensure our process works seamlessly end to end.
Card Collections and Recoveries make up the Customer Resiliency team, and our product and business analyst teams share end-to-end ownership of the customer experience and drive meaningful P&L impact each quarter.

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's or Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing OR Bachelor's degree in any field and 3 years of Product Management experience
• Experience translating business strategy and analysis into consumer facing digital products

Core Competencies

Demonstrates expertise in Product Management with a strong focus on integrating machine learning models and enhancing operational data infrastructure. Proven ability to translate business strategy into consumer-facing digital products while collaborating with cross-functional teams.

Highest-signal resume keywords

• Product Management Experience
• Machine Learning Integration
• Operational Data Infrastructure
• Quantitative Analysis
• Consumer Facing Digital Products

ATS Optimization Keywords

Hard Skills

• Statistics
• Economics
• Operations Research
• Analytics
• Mathematics
• Computer Science
• Software Engineering
• Information Systems
• Business Strategy Translation
• Data Analysis

Industry Keywords

• Card Collections
• Customer Resiliency
• P&L Impact
• Segmentation
• Decisioning

Tools & Technologies

• Enterprise Platforms
• Risk Management Systems