Synchrony

VP Product Owner, Model Operations

Synchrony

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $155,000 - $260,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

  • Oversee operational components of the model development lifecycle, including documentation governance, monitoring execution, and tooling support
  • Ensure models are effectively tracked, maintained, and governed post-development through collaboration with model developers, validators, and governance teams
  • Define, develop, and own data for firmwide modeling activities and ongoing monitoring
  • Lead product ownership and business-side management of the evergreen model data store
  • Define, test, and evaluate external and internal datasets to expand and refine the model data store
  • Translate model monitoring data requirements into technical specifications for integration
  • Direct development or acquisition of internal tools to support model development workflows, including automation pipelines and AutoML frameworks
  • Drive design and implementation of automated monitoring tools (alerts, trend diagnostics, performance reporting)
  • Manage reporting roles and teams and coordinate cross-functional reporting and tooling initiatives
  • Communicate progress, risks, and challenges to stakeholders and leadership; perform special projects as assigned

Requirements

  • Bachelor’s degree and 7+ years of professional experience in model operations, data engineering, or analytics infrastructure; or High School Diploma/GED and 11+ years of professional experience
  • 5+ years in a senior leadership role within a regulated or data-intensive environment
  • Proven experience leading enterprise data architecture or infrastructure initiatives supporting model development, governance, and performance monitoring
  • Deep understanding of data management principles (extraction, transformation, validation, integration, storage)
  • Demonstrated success in product ownership or business-side stewardship of data platforms, especially enterprise-scale data stores
  • Hands-on experience designing and implementing tooling to support model workflows (AutoML, monitoring automation, pipeline orchestration, alerting frameworks)
  • Strong knowledge of model lifecycle processes and collaboration with development, validation, and risk teams
  • Familiarity with Model Operations practices and ability to manage Model Operations roles/functions
  • Bachelor’s degree in a technical or quantitative discipline preferred; Master’s degree preferred
  • Exceptional verbal and written communication and visual storytelling
  • Advanced critical thinking, analytical problem-solving, and ability to use data to break down complex models
  • Strong project management and leadership skills
  • Ability to translate complex technical subject matter and provide coaching and feedback
  • Strong business acumen and familiarity with model governance frameworks and regulatory expectations (e.g., SR 11-7, MRM policies)
  • Technical experience with exploratory data analysis, statistical modeling, machine learning, generative AI, and applying GenAI in credit and risk modeling
  • Proficiency with SQL, Python, and cloud-based data platforms (AWS, GCP, Azure)
  • Legal authorization to work in the U.S.; willing to take a drug test, submit to background investigation and fingerprints; must be 18 years or older