Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.
Support pipeline development by designing and maintaining automated end-to-end ML pipelines for data collection, preprocessing, feature engineering, and model training.
Conduct data transformation by converting raw observations into variables (features) that machine learning models can understand, such as turning timestamps into cyclical time features.
Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.
Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.
Engage regularly with model developers, validators, and risk stakeholders to understand their evolving data needs for model development, monitoring, and governance.
Requirements
We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW.
Role Summary: The AVP, Applied Model Ops Developer within the India Analytics Hub (IAH), operating under the Decision Management, Model Operations & Analytics team 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 bridges the gap between data science and software engineering by building, deploying, and maintaining production-ready AI/ML systems.
Required Skills/Knowledge Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 6+ years’
experience OR in lieu of a degree 8+years of relevant work
experience in model operations, data engineering, or analytics infrastructure 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, WhyLabs, Prometheus).
Understanding of model risk governance
Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.
Desired Skills/Knowledge: Advanced Master’s degree or relevant advanced certification preferred Strong problem-solving skills and
Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences and collaborate across teams.
Eligibility Criteria: Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 6+ years’
experience in monitoring, validation, or credit risk strategy Work Timings: 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).
Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events For Internal Applicants : Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory
Grade/Level : 11 Job Family Group: Data Analytics
Additional details
Role Title: AVP, Applied Model Ops Developer (L11) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites.
Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.
We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work.
We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
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.
Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner
experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.
Partner with credit analytics, risk, fraud, marketing, and operations functions to identify, define, and prioritize use cases requiring model-ready data.
Transforming theoretical data science prototypes into robust, high-performance software systems that can handle large volumes of real-time data CI/CD Pipeline Development: Build and maintain automated pipelines that handle not just code, but also data validation, model training, and artifact management Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).