About the Role You’ll build, operate, and evolve the end-to-end data platform that powers analytics, automation, and AI use cases. This is a hands-on role spanning cloud infrastructure, ingestion/ETL, and data modeling across a Medallion (bronze/silver/gold) architecture. You’ll partner directly with stakeholders to turn messy source data into trusted datasets, metrics, and data products. Who you are - Pragmatic Builder: You write clear SQL/Python, ship durable systems, and leave pipelines more reliable than you found them. - Data-Savvy Generalist: You’re comfortable moving up and down the stack (cloud, pipelines, warehousing, and BI) and picking the right tool for the job. - Fundamentals-first & Customer-Centric: You apply strong data modeling principles and optimize the analyst/stakeholder experience through consistent semantics and trustworthy reporting. - Low-Ego, High-Ownership Teammate: You take responsibility for outcomes, seek feedback openly, and will roll up your sleeves to move work across the finish line. - High-Energy Communicator: You’re comfortable presenting, facilitating discussions, and getting in front of stakeholders to drive clarity and alignment. - Self-Starter: You unblock yourself, drive decisions, and follow through on commitments; you bring a strong work ethic and invest in continuous learning. What you will do - Ingestion & ETL: Build reusable ingestion and ETL frameworks (Python and Spark) for APIs, databases, and un/semi-structured sources; handle JSON/Parquet and evolving schemas. - Medallion Architecture: Own and evolve Medallion layers (bronze/silver/gold) for key domains with clear lineage, metadata, and ownership. - Data Modeling & Marts: Design dimensional models and gold marts for core business metrics; ensure consistent grain and definitions. - Analytics Enablement: Maintain semantic layers and partner on BI dashboards (Sigma or similar) so metrics are certified and self-serve. - Reliability & Observability: Implement tests, freshness/volume monitoring, alerting, and runbooks; perform incident response and root-cause analysis (RCA) for data issues. - Warehouse & Performance: Administer and tune the cloud data warehouse (Snowflake or similar): compute sizing, permissions, query performance, and cost controls. - Standardization & Automation: Build paved-road patterns (templates, operators, CI checks) and automate repetitive tasks to boost developer productivity. - AI Readiness: Prepare curated datasets for AI/ML/LLM use cases (feature sets, embeddings prep) with appropriate governance. Must Haves - 3–5+ years hands-on data engineering experience; strong SQL and Python; experience building data pipelines end-to-end in production. - Strong cloud fundamentals (AWS preferred; other major clouds acceptable): object storage, IAM concepts, logging/monitoring, and managed compute. - Experience building and operating production ETL pipelines with reliability basics: retries, backfills, idempotency, incremental processing patterns (e.g., SCDs, late-arriving data), and clear operational ownership (docs/runbooks). - Solid understanding of Medallion / layered architecture concepts (bronze/silver/gold or equivalent) and experience working within each layer. - Strong data modeling fundamentals (dimensional modeling/star schema): can define grain, build facts/dimensions, and support consistent metrics. - Working experience in a modern cloud data warehouse (Snowflake or similar): can write performant SQL and understand core warehouse concepts. - Hands-on dbt experience: building and maintaining models, writing core tests (freshness/uniqueness/RI), and contributing to documentation; ability to work in an established dbt project. - Experience with analytics/BI tooling (Sigma, Looker, Tableau, etc.) and semantic layer concepts; ability to support stakeholders and troubleshoot issues end-to-end. Nice to Have - Snowflake administration depth: warehouse sizing and cost management, advanced performance tuning, clustering strategies, and designing RBAC models - Advanced governance & security patterns: masking policies, row-level security, and least-privilege frameworks as a primary implementer/owner - Strong Spark/PySpark proficiency: deep tuning/optimization and large-scale transformations. - dbt “platform-level” ownership: CI/CD-based deployments, environment/promotion workflows, advanced macros/packages, and leading large refactors or establishing standards from scratch. - Orchestration: Airflow/MWAA DAG design patterns, backfill strategies at scale, dependency management, and operational hardening - Sigma-specific depth: semantic layer/metrics layer architecture in Sigma, advanced dashboard standards, and organization-wide “certified metrics” rollout. - Automation / iPaaS experience: Workato (or similar) for business integrations and operational workflows. - Infrastructure-as-code: Terraform (or similar) for data/cloud infrastructure provisioning, environment management, and safe change rollout. - Data observability & lineage tooling: OpenLineage/Monte Carlo-style patterns, automated lineage hooks, anomaly detection systems. - Lakehouse / unstructured patterns: Parquet/Iceberg, event/data contracts, and advanced handling of semi/unstructured sources. - AI/ML/LLM data workflows: feature stores, embeddings/RAG prep, and privacy-aware governance. #LI-EM4 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $110,900—$159,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

• Design, build, and maintain analytics‑ready data models, including facts, dimensions, and data marts. • Develop and manage transformations primarily in the semantic and transformation layer using SQL‑based tooling (e.g., dbt). • Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards, reports, and analyses. • Apply dimensional modeling best practices (e.g., star schemas) optimized for BI and analytical consumption. • Partner closely with product, operations, finance, and business stakeholders to understand requirements and translate them into well‑defined data models and metrics. • Act as a steward of business logic—ensuring definitions are clear, documented, and aligned across teams. • Proactively identify gaps, ambiguities, or inconsistencies in metrics and drive alignment toward standardized definitions. • Optimize data models for clarity, usability, and performance for downstream consumers, including analysts and self‑service BI users. • Support analysts and BI developers by enabling faster, more reliable dashboard and report development. • Ensure analytics outputs are intuitive, discoverable, and trusted by decision‑makers. • Implement data quality checks and testing at the analytics layer to ensure accuracy and reliability. • Contribute to analytics engineering standards, conventions, and documentation. • Collaborate with data engineering partners to provide feedback on source data structure and readiness for analytics.

Job Description: Role Title : Manager, Analytics- OnePay (L9) 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 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. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. - 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. 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 Role Summary/Purpose: Manager, Analytics -OnePay (Individual Contributor) role is a part of India Analytics Hub (IAH). The role will deliver on business and organizational priorities, in close collaboration with US Analytics and IAH teams. The role involves developing analytical solutions across marketing planning, measurement and optimization, customer analytics, targeting & segmentation, forecasting, etc. areas to identify growth opportunities , optimize business strategies and derive actionable insights across customer journey. Key Responsibilities: - Support One Pay India and US analytics and marketing teams in the design and execution of marketing campaigns and tests for the OnePay portfolio - Own end-to-end daily, weekly, and monthly reports, report findings and open items to leadership. - Proactively propose, initiate, execute and own strategic projects that create business impact. - Regularly communicate with stakeholders on Project - Understand requirements and deliver on ad hoc requests whenever required - Facilitate meetings with US Portfolio analytics team, including making presentations as necessary - Spearhead use of the latest tools and techniques in the industry and leverage for portfolio growth. - Responsible and committed to the last mile execution of projects. - Contribute to internal initiatives, perform other duties and/or special projects, as assigned Required Skills/Knowledge: - Minimum 2 years of experience in building analytical solutions to drive strategy with positive outcomes and measuring impact - Minimum 2 years of hands-on SAS, SQL, Python, Tableau experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets - Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. - Advanced proficiency in MS-Excel, MS-PowerPoint and Tableau with superior data visualization and story boarding skills - Ability to work in matrix organization, make and enable data driven decisions - Demonstrated ability to manage complexity/ambiguity and multiple initiatives - Proven ability to work independently, yet as key member and contributor to a broader team - Experience in credit card or financial services will be a plus Desired Skills/Knowledge: - Strong verbal and written communication skills; ability to engage effectively with a broad range of audiences including senior business leaders, other senior analytics leaders, and highly technical talent - Ability to influence business strategies and decisions based on analytical insights - Experience with modeling/forecasting, and strong understanding of targeting and segmentation Eligibility Criteria: Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of relevant work experience in lieu of specified degree Work Timings: 2:00 PM to 11:00 PM IST 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. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. 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. Please discuss this with the hiring manager for more details. For Internal Applicants: - Understand the criteria or mandatory skills required for the role, before applying - Inform your manager or HRM before applying for the role on Workday - Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is - mandatory to upload your updated resume (Word or PDF format) - Must not be any corrective action plan (First Formal/Final Formal, LPP) - L8+ employees who have completed 18 months in the org. and 12 months in current role and level are only eligible - L04 + employees who have completed 12 months in the org. and 12 months in current role and level are only eligible - L04+ can apply Level / Grade : 9 Job Family Group: Data Analytics

• Builds test scripts, executes testing, works with data scientists and business to ensure end user acceptance • Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints • Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision • Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement • Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data