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
Requirements
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