Director Software Engineering - Data Engineering, Metadata management, Generative AI, DaaS, MaaS

Job d:

Location:

Chennai, TN, India Job Function:
Engineering & Architecture

Schedule:

Full time

Shift: Day Workplace:
Hybrid Career Area:
Technology Company:
American Express Description Lead  the strategy, engineering, and evolution of the Global Servicing Data Foundation and common/reusable Intelligence Access Layer, enabling trusted, governed, reusable, and AI-ready data capabilities at enterprise scale. Drive the modernization of servicing data platforms & reusable intelligence components that power operational insights, customer journey intelligence, analytics, automation, and AI-driven servicing experiences across American Express.

Core Responsibilities Data Platform Strategy, Modernization & Engineering Execution Own the strategy, roadmap, and execution for Servicing Data Platforms, including Data as a Service (DaaS), Metrics as a Service (MaaS), Operational Data Engineering, Operational Reporting Platforms (real-time and historical), Customer Journey Intelligence Engine (CIE), Data Ingestion Platforms, and Data Lake Modernization.

Define and execute multi-year platform modernization strategies aligned to cloud-first, AI-enabled enterprise objectives.

Drive platform simplification, standardization, and reuse by reducing redundant data assets, duplicate metrics, and fragmented servicing capabilities.

Establish platform scalability, resiliency, availability, and performance objectives while ensuring operational excellence.

Lead engineering teams responsible for platform development, reliability, automation, and lifecycle management.

Servicing Data Foundation Enablement Build and evolve foundational data capabilities that make data trusted, accessible, reusable, and consumable across servicing domains.

Establish enterprise patterns for data federation, metadata management, lineage, cataloging, context propagation, and reusable intelligence services.

Enable real-time and near-real-time access to servicing data through governed APIs, event-driven architectures, and intelligence access layers.

Drive adoption of Data as a Service and Metrics as a Service capabilities across business and technology organizations.

Partner with business stakeholders to ensure platform capabilities directly support servicing outcomes, customer experience improvements, and operational efficiency.

Servicing Data Governance, Risk, Security & Compliance Ensure governance, privacy, security, and compliance requirements are embedded into platform architecture, engineering processes, and operational practices.

Establish accountability for data quality, lineage, metadata management, retention, auditability, and access controls across servicing data assets.

Partner with Enterprise Architecture, Information Security, Risk, Compliance, and Data Governance organizations to ensure alignment with enterprise standards.

Drive proactive management of data risks and platform controls while enabling responsible innovation and faster delivery.

AI, Intelligence Platforms & Reusable Services Lead the development of reusable intelligence components and foundational services for servicing that accelerate AI, analytics, automation, and customer intelligence use cases.

Partner with staff engineers, peer technology and product teams to establish scalable platforms that support predictive analytics, customer journey intelligence, GenAI, agentic systems, and decisioning capabilities.

Ensure servicing data platforms are AI-ready by enabling high-quality, governed, and discoverable data assets.

Drive reuse of data driven intelligence capabilities across servicing products and channels to maximize business value and reduce technology duplication.

Evaluate emerging AI and data technologies and establish adoption strategies aligned to enterprise…