AVP, Model Ops Engineer (L10)

Synchrony

1d • Hybrid

About The Position

The AVP, Model Ops Engineer is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and is responsible for designing and building the data infrastructure, pipelines, and tooling required to support robust, scalable, and automated post-deployment monitoring of models. This role supports model performance tracking, alerting, backtesting, and audit readiness by integrating data from across the model lifecycle. The engineer collaborates closely with model developers, product managers, risk partners, and compliance teams to operationalize monitoring strategies aligned with model governance policies.

Requirements

• Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.
• Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).
• Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.
• Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).
• Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.
• Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.

Nice To Haves

• Strong problem-solving skills and experience automating repetitive data monitoring tasks.
• Attention to detail and commitment to maintaining high standards of data quality, integrity, and compliance.
• Experience building alerting mechanisms and diagnostic logging for monitoring model behaviors.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences and collaborate across teams.
• Exposure to explainability frameworks and the role of data in enhancing model transparency and interpretability.

Responsibilities

• Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).
• Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.
• Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.
• Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.
• Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).
• Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.
• Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs.
• Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.
• Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring
• Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.

Benefits

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.
• This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose.
• We’re on a mission to build a future where every ambition is within reach.
• When you join us, whether you work in an office or from your home, you’ll experience support and encouragement at all levels of the organization— you’ll be provided with the tools and technology to grow your career here.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level