Enterprise Data Architect – Banking- 7+ yrs- Chicago, United States- Onsite

Job Title: Data Strategy LeadLocation: US Office- Chicago.Years of Experience: 5-7 YearsJob Summary: We are seeking a Data Strategy Lead to spearhead the enterprise data strategy, target state architecture, and data roadmaps across Commercial, Consumer, Mortgage, and Business Lending. The ideal candidate will have a strong background in data architecture, governance, and risk management, with a focus on delivering unified customer data solutions and robust credit risk models.Responsibilities:Lead the design and implementation of canonical data models covering the end-to-end credit lifecycle, including Loan Origination, Servicing, and Collections.Architect Master Data Management (MDM) solutions to achieve a unified Customer 360 view, including complex party hierarchies and relationship data.Build and maintain data structures for credit risk modeling, collateral tracking, and aggregate exposure management.Design and implement modern Data Lakes, Data Warehouses, and Lakehouse architectures using AWS and Azure cloud platforms.Develop streaming architectures, APIs, and real-time data pipelines to support instant credit decisioning and point-of-sale processing.Drive data governance standards, data quality frameworks, metadata catalogs, and end-to-end data lineage.Ensure compliance with regulatory reporting standards, including CCAR, CECL, IFRS 9, and Basel frameworks.Enforce enterprise data security protocols while managing executive stakeholder relationships and aligning technology with business strategy.Mandatory Skills:Advanced knowledge in Banking & Wealth Management, Financial Services Cloud, and Customer 360 Ecosystems.Expertise in security, privacy, and data protection.Strong foundation in analytics, reporting, and AI/ML data principles.Proficiency in cloud data platforms, specifically Azure and AWS.In-depth understanding of regulatory reporting and compliance frameworks (CCAR, Basel, IFRS9, CECL).Preferred Skills:Experience with DevOps practices and tools.Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in data management and cloud platforms are a plus.