Synchrony

Data Engineer

• Own the L3 data architecture governance process
• Collaborate with enterprise and domain architects
• Lead issue and risk management activities for data architecture
• Drive coordination of audits, regulatory requests, and certifications
• Partner with compliance, risk, business stakeholders and engineering teams
• Maintain risk and control documentation
• Communicate progress and risk exposure regularly to senior leadership
• Chair/lead architecture design reviews for critical data engineering initiatives
• Define technical guardrails and ensure adherence to approved reference architectures

VP – Data Architecture Governance

General Counsel

• Defend Synchrony in individual consumer matters involving Synchrony’s products
• Manage a portfolio of cardholder litigation and arbitrations
• Represent Synchrony in mediations, settlement conferences, and arbitration proceedings
• Partner with internal stakeholders to develop defensible positions
• Oversee outside counsel where applicable
• Advise on consumer finance legal issues affecting individual disputes
• Draft and review litigation and arbitration materials
• Identify trends and recurring issues across the portfolio and provide practical feedback
• Maintain accurate matter documentation, metrics, and reporting
• Handle other litigation or subpoena matters as requested

VP, Litigation Counsel

Content Manager

• Lead development of unified content strategy for Health & Wellness products
• Define messaging pillars and narratives aligned with brand priorities
• Optimize multi-format content including webinars, blogs, and marketing collateral
• Collaborate with marketing and product teams for content translation
• Establish content governance frameworks
• Coach and lead content teams

VP, Content Strategist – Health & Wellness

Account Manager

• Collaborate with Paid Media, Analytics, and Marketing Platform teams to understand business needs to bring new ways to reach and engage with their target consumers
• Work with paid media leads to evolve media buying activities, and balance new projects with their day-to-day workloads
• Coordinate discovery with new innovative vendors and ad tech partners; hosting cross-department meetings to learn about new vendors and capabilities
• Partner with sourcing, legal, supplier management, and finance teams on new vendor onboarding, risk assessments, contracts, and renewals
• Frequently review leading industry news subscriptions, communicating key updates to the enterprise
• Build presentations for senior leadership that outline our Ad Tech capabilities, industry trends, and digital roadmaps
• Support media channel teams with vendor management, assisting negotiations for JBP agreements and relationship check-ins
• Prioritize projects to balance innovation while always ensuring the teams are baseline activity is best in class
• Support the Paid Media billing process and forecasting; improving communication and visibility with client marketing teams
• Maintain key marketing subscriptions, manage renewals and oversee all usage reporting, including progress against JBP targets
• Evaluate opportunities for AI throughout the org and support AI and Model review processes
• Manage user access for the Media Team across internal systems and media platforms
• Assist with operational process documentation and training for stakeholders
• Perform other duties and/or special projects as assigned

AVP, Ad Tech Partnerships – Innovation

Controller

• Support Cash Accounting processes including daily balancing of customer related payment activity, disbursements, month-end close, and month-end reconciliations.
• Detailed knowledge of process flow of assigned accounts and Blackline balancing procedures.
• Completion of daily balancing/tasks for all assigned accounts and monitoring of aged items in accordance with assigned thresholds.
• Research/follow up on all reconciling items for assigned accounts with strong root cause/action plans documented.
• Process improvement ideas for assigned accounts and implementation of small scope improvements.
• Completion of month-end responsibilities including journal entry preparation and reconciliations in accordance with SYF standards.
• Support of Governance initiatives including job aid preparation, updates, and testing.
• Support adhoc reporting requests.
• Other duties as assigned.

Senior Specialist, Controllership

Vice President

• Lead the development of enhanced segmentation and targeting strategy for loyalty based card programs using rewards data to improve marketing efficiency
• Oversee the accuracy and completeness of client loyalty reporting
• Leverage customer rewards earn/burn behavior to develop scalable, data-driven solutions that enhance marketing effectiveness, reduce attrition, and strengthen customer engagement
• Lead evaluation of client-specific loyalty reporting, identifying gaps and root causes, recommending corrective actions, and ensuring ongoing oversight and adherence to reporting compliance standards
• Provide data-driven insights to partners on value propositions, including industry benchmarks, usage trends, and recommendations to improve program performance and effectiveness
• Lead/manage multiple cross-functional projects end-to-end, ensuring on-time delivery, high-quality outputs, and complete documentation in alignment with audit and governance requirements
• Manage and develop the team, including workforce planning, hiring, performance management, coaching, and career development

AVP, Loyalty Analytics – Targeting Strategy and Optimization

• Define the target-state Data & AI Foundations architecture supporting agentic AI use cases, including RAG pipelines, enterprise knowledge graph or metadata layer, data products, and AI-ready datasets.
• Own the strategy and roadmap for making key enterprise data sources 'AI-ready': curation, quality, metadata, access patterns, latency requirements, and retention.
• Partner with source system owners (core servicing, CRM, collections, risk, fraud, etc.) to define data contracts, SLAs, and integration patterns that support downstream RAG and analytics.
• Design and govern canonical data models and semantic layers used by RAG pipelines, memory stores, and analytics to ensure consistency across agents and domains.
• Lead the design of RAG data infrastructure on cloud (e.g., PostgreSQL, Redshift, vector stores, object storage) and ensure it aligns with performance, cost, and compliance constraints.
• Define and implement RAG evaluation strategies including retrieval quality metrics, ranking and re-ranking optimization, relevance scoring, and A/B testing frameworks for continuous improvement.
• Establish data preparation and curation pipelines for model fine-tuning, including dataset selection, labeling strategies, quality validation, versioning, and compliance with model risk policies.
• Design and optimize retrieval strategies for RAG systems: chunking approaches, embedding models, indexing techniques, ranking algorithms, re-ranking logic, and hybrid search patterns.
• Build and maintain robust data pipelines (batch and streaming) that ingest, transform, enrich, and deliver data into RAG systems, vector stores, feature stores, and agent contexts with appropriate SLAs.
• Collaborate with the Enterprise AI Platform team on how data services (RAG APIs, feature stores, metadata services) are exposed as platform primitives for agent builders.
• Define and enforce data governance policies for AI: data classification, lineage, access controls, PII handling, retention, and usage logging for AI workloads.
• Partner with AI Governance/Model Risk and InfoSec/AppSec to ensure data usage in prompts, context, and tools adheres to policies, including regulatory, privacy, and model risk requirements.
• Establish data quality and observability practices for AI data: data SLAs, freshness, completeness, drift detection, and business rule validation tied to AI outcomes.
• Drive adoption of metadata and catalog tools so platform and agent teams can discover, understand, and safely consume datasets and RAG endpoints.
• Define and oversee patterns for integrating external data (third-party, public, partner data) into AI workflows, including licensing checks, quality assessment, and monitoring.
• Perform other duties and/or special projects as assigned.

VP, AI Data Architect

Artificial Intelligence

• Ensure the production-grade reliability, accuracy, and performance of our AWS-based agentic AI ecosystem
• Lead investigations of complex agent/AI workflow failures using logs, metrics, and traces
• Improve the quality and performance of Retrieval-Augmented Generation (RAG) and agent workflows
• Establish and oversee evaluation approaches for models, RAG, and agents
• Partner with InfoSec/AppSec to review architectures and ensure designs follow enterprise security patterns
• Work with Governance teams to implement and monitor guardrails and controls across the AI platform
• Drive 'Design for Reliability' patterns across both Platform and Agent Building teams
• Translate reliability risks, performance trends, and operational metrics into clear business language for senior leaders, risk, and product owners
• Coach DevLeads and architects on debugging agent behaviors, strengthening observability pipelines, improving orchestration, and hardening production deployments

VP, AI Reliability & Performance Architect

Security Engineer

• Member of HPA monitoring team responsible for monitoring activity of privileged accounts within the Synchrony environment.
• Ability to convey data in a meaningful and concise manner.
• Develop dashboards/metrics to present monitoring results to IT leadership team.
• Work with IT stakeholders to review results of IT monitoring and identify gaps.
• Perform root cause analysis for identified gaps and determine solutions to address gaps.
• Track any corrective action plans generated during IT monitoring.
• Review new/existing HPA access.
• Investigate and respond to HPA Alerts.
• Track HPA violations.
• Maintain documentation.
• Perform certifications for HPA users.

Information Security Analyst, HPA Monitoring

Software Engineer

• Engage regularly with model developers, validators, and risk stakeholders to understand their evolving data needs for model development, monitoring, and governance
• Partner with credit analytics, risk, fraud, marketing, and operations functions to identify, define, and prioritize use cases requiring model-ready data
• 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
• Transforming theoretical data science prototypes into robust, high-performance software systems that can handle large volumes of real-time data
• 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)
• Provide thought and technical leadership in generating new signals from raw data by applying techniques such as normalization, scaling and categorical encoding
• 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)
• Liaise with cloud, data lake, data warehouse, and model governance engineering teams on delivery execution and backlog prioritization
• 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

AVP, Applied Model Ops Developer

• Develop and lead the HR AI change management strategy
• Partner with senior leadership to embed people-centered change practices
• Establish a framework for assessing AI-driven workforce impacts
• Define and measure key success indicators for AI adoption
• Lead efforts to help every employee understand AI impacts on their roles
• Create experiences that build confidence about AI adoption
• Partner with Communications and Learning teams to craft messaging
• Support leaders/guides through change with tools for adaptability
• Embed People Risk governance into AI delivery
• Celebrate success stories about AI adoption and human-machine collaboration

VP, HR – AI Enterprise Change Management

Financial Planning and Analysis

• Lead, mentor, and manage a team of IAM Solution Architects and automation engineers responsible for enterprise IAM services including authentication, authorization, privileged access, and identity lifecycle management
• Define and drive the overall IAM architectural strategy and roadmap aligned with business objectives and security best practices
• Oversee the design and implementation of IAM solutions incorporating industry standards and protocols such as SAML, OAuth2, OIDC, SCIM, PAM, RBAC/ABAC
• Ensure seamless integration of IAM platforms with cloud providers (AWS, Azure, GCP), on-premises systems, and SaaS applications
• Provide thought leadership during vendor evaluations, product selections, and oversee the delivery of IAM projects and initiatives
• Foster collaboration across security, IT, and business teams to translate complex requirements into robust IAM architectures
• Champion automation and DevSecOps practices within the IAM environment, leveraging tools such as Terraform, Ansible, and CI/CD pipelines
• Ensure regulatory compliance related to IAM including SOX, GDPR, PCI, and financial institution standards
• Conduct regular risk assessments, threat modeling, and security reviews related to identity and access solutions
• Stay abreast of emerging IAM technologies, industry trends, and evolving threat landscapes to proactively evolve the IAM strategy
• Manage budgeting, resource planning, and performance management for the IAM strategic planning and architecture team
• Drive a culture of continuous improvement, knowledge sharing, and high-quality customer experience within the team
• Perform other duties and/or special projects as assigned.

VP, IAM Strategic Planning and Automation Leader

Scrum Master

• Lead and manage delivery activities of multiple scrum teams
• Apply Agile Manifesto and SAFe principles effectively
• Work with business teams to shape requirements and communicate project execution
• Ensure completeness of development stories and documentation
• Assist product owner with roadmaps and project management
• Communicate across diverse audiences including stakeholders and executives
• Facilitate Scrum ceremonies and manage Sprints
• Collaborate with cross-functional teams to create holistic roadmap
• Advocate for autonomous, self-organizing teams

AVP, Scrum Master

• Flawless execution of Venmo Co-Brand programs
• Partner with the client and co-brand marketing team on growth initiatives
• Develop and execute programs to drive new accounts, sales, and loyalty through the customer lifecycle
• Manage cardholder communications across a variety of digital and offline channels
• Develop product lifecycle strategies and partner with cross functional teams
• Manage marketing budget tracking, invoice processing & monthly reconciliation
• Ensure compliance with all internal & external legal and regulatory requirements

AVP, Venmo Campaign and Initiatives Manager

Marketing

• Lead ISV channel marketing strategy and program execution for Home Specialty ISVs
• Drive B2B2C growth across key ISV ecosystems
• Shape partner and dealer value propositions for embedded financing
• Establish scalable playbooks for launches and campaigns
• Own ISV marketing budget and performance management
• Lead strategy for key ISV partner events and experiences
• Develop high-performing team with clear priorities and coaching