Principal Data Architect – General Bank, Commercial Bank & Digital Bank

Overview

We are seeking a highly experienced Principal Data Architect to lead the end-to-end data architecture strategy, standards, and decision-making for the bank’s General Bank, Commercial Bank, and Digital Bank domains. This role will serve as the accountable Data Architecture leader within ED&A for customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data ecosystems.

• General Bank, Commercial Bank, and Digital Bank Data Architecture Leadership
• Serve as the lead Data Architect for General Bank, Commercial Bank, and Digital Bank domains, establishing the architecture vision, target-state roadmap, standards, and guardrails for domain data assets.
• Own and govern architecture decisions impacting customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data domains.
• Internal | Enterprise Data & Analytics
• Define reusable architecture patterns, canonical integration approaches, domain data product standards, metadata expectations, and consumption patterns for enterprise use.
• Partner with business executives and domain leaders to translate growth strategies, customer experience priorities, operational needs, risk expectations, and regulatory obligations into scalable data architecture solutions.
• Participate in portfolio planning, solution design reviews, and architecture forums to ensure domain initiatives align with ED&A architecture strategy and enterprise data platform direction.
• Banking Domain Data Architecture
• Lead architecture design for banking data ecosystems supporting customer 360, relationship management, onboarding, account servicing, product analytics, deposits, lending, payments, digital journeys, and operational analytics.
• Ensure domain data architectures support completeness, accuracy, timeliness, traceability, privacy, security, access controls, and business interpretability.
• Define source-to-consumption lineage patterns from core banking, loan origination, deposit, CRM, digital, payments, operations, and servicing platforms through enterprise data platforms and analytics products.
• Govern architecture patterns supporting commercial portfolio insights, banker productivity, relationship profitability, customer engagement, product performance, operational efficiency, and executive reporting.
• Drive consistency in critical banking data elements, reference data, business rules, customer/account/product relationships, hierarchies, and domain definitions in partnership with Data Governance and business data owners.
• Partner with Commercial Banking, Digital Banking, Operations, Risk, Compliance, and Product teams to design data capabilities that meet business utility, regulatory, privacy, and control requirements.
• Data Governance, Quality, Lineage, Privacy, and Controls
• Partner with Data Governance and domain leadership to define ownership, stewardship, accountability, metadata, certification, retention, and control expectations for critical data assets.
• Drive architectural patterns that enable data quality measurement, data observability, exception management, control monitoring, issue remediation, and governed change management.
• Ensure architectures capture and expose business, technical, and operational lineage for high-priority customer, account, transaction, lending, payments, servicing, and digital data flows.
• Embed privacy, security, consent, entitlement, and responsible data use considerations into architecture designs, especially for customer and digital interaction data.
• Support regulatory, audit, risk, compliance, and internal control expectations by embedding control points and evidence generation into data architecture designs.
• Platform, Integration, and Data Product Architecture
• Define patterns for integrating banking source systems into enterprise data platforms using batch, streaming, event-driven, API, CDC, and file-based patterns where appropriate.
• Guide data product teams on architecture patterns for reusable, governed, and high-value data products serving Commercial Banking, General Banking,…