Senior Data Manager – Retail Data Product Design

Responsibilities

• Design reusable and AI‑ready data products aligned to the organizational structure of retail‑banking portfolios and associated process families
• Define and lead the vision, strategy, and roadmap for reusable, AI‑ready retail banking data products
• Align data product investments to enterprise priorities including personalization, automation, responsible AI, and digital transformation
• Translate business capabilities into modular data products (datasets, features, semantic layers, APIs) designed for repeated use across channels and use cases
• Manage all aspects of organizational data; establish and maintain policies and procedures for planning, designing and maintaining an information bank to ensure that data services are delivered in a high‑quality and profitable manner
• Provide senior leadership, direction and methodology for analysis, structure and storage of critical organizational data
• Oversee the integrity and maintenance of organizational data
• Monitor and review major organizational activities and goals to ensure important data needs are anticipated and met
• Review and recommend policies and procedures for collecting and managing organization data

• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Designing
• Data Mining
• Data Science
• Machine Learning (ML)
• At least 8+ years of industry experience
• At least 5 years of prior management experience
• A university/college degree is required
• In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered