01Overview
About the Role The Enterprise Data Capabilities organization in Technology is focused on a transformative journey to support our data strategy and how we deliver critical business outcomes, as well as how we engage with partners across for Data, AI, and Business Intelligence (BI) services. We are seeking an experienced and dynamic individual to join as an Assistant Vice President AI Enabled Business Analyst & Data Visualization Specialist, reporting to the Head of Data Capabilities Portfolio Management. This role requires strong collaboration across business and technology teams, with the ability to translate complex requirements into data products, AI-enabled solutions, and accelerate data-driven decision-making.
Responsibilities
1. Business Analysis & Data Product Delivery
Act as a liaison between Business, Risk, Finance, and Technology teams
Analyze business requirements to produce data specifications & mappings
Communicate insights effectively to technical and non-technical audiences
Support delivery of enterprise data products (Customer360 / CreditRisk360)
2. Business Intelligence & Visualization
Design and deliver Power BI / Tableau dashboards
Develop automated reporting for risk, finance, and regulatory stakeholders
3. AI & Advanced Analytics Enablement
Leverage AI tools for automated insights, summarization, and decision support
Identify opportunities for AI-driven automation and analytics solutions
Conduct feasibility, impact, and value assessments for AI initiatives
Qualifications
Experience
812 years of experience in Banking & Financial Services sector as a BA/DA
Experience in credit risk analytics, BI reporting, or enterprise data products
5+ years experience in agile framework or method (i.e. SAFe, Scrum, Kanban)
Business Acumen
Strong understanding of core banking and capital markets products
Knowledge of credit risk concepts (PD, LGD, exposure, delinquency)
Familiarity with regulatory frameworks (Basel, CECL, SCCL, IFRS) preferred
Data & AI Skills
Strong SQL and data analysis expertise in Data Warehousing / Data Lakes
Hands-on experience with BI tools (Power BI, Tableau)
Familiarity with cloud platforms (Snowflake, AWS, Azure)
Exposure to Starburst data virtualization platform is a plus
Python, R, AI/ML models
Human Skills
Strong communication and stakeholder management skills
Ability to translate complex data into business-friendly insights
Analytical thinking and problem-solving mindset
Education
Bachelors degree in business, finance, technology, or related field
MBA or advanced degree preferred .
