Data Analytics Program Lead

Asian Infrastructure Investment Bank; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Asian Infrastructure Investment Bank in Washington, DC seeks a Digital Program Specialist – Data Analytics to bridge business needs with data engineering. You will translate requirements into data logic, align KPI definitions, and ensure consistent, decision-ready data across platforms.

You will lead data governance practices, support enterprise data initiatives and board reporting, and coordinate with stakeholders across finance, risk, operations, and portfolios to deliver reliable analytics.

Qualifications

• 5-8 years of experience in data analytics, business analysis, or related roles.
• Strong understanding of data analysis, data modelling, and data governance principles.
• Ability to translate business requirements into data logic and technical specifications.

Responsibilities

• Translate business requirements into data definitions, KPI logic, and technical specifications for implementation by data engineering teams.
• Work closely with business stakeholders to clarify data needs and ensure accurate data representation in models and systems.
• Define and document business data logic with traceability between requirements, transformations, and reporting outputs.
• Coordinate with core departments to align KPI definitions, reporting logic, and data usage.
• Lead and coordinate data validation, UAT, and issue resolution across system changes and releases.
• Support data transitions and ensure continuity across upgrades and enhancements.
• Ensure alignment of data definitions, KPI logic, and reporting standards across dashboards and departments.

Skills

Data analytics

Stakeholder management

Communication

Problem solving

Education

Bachelor's or Master's in data analysis/CS/finance

Tools

SQL

Power BI

Python

Job description

Asian Infrastructure Investment Bank in Washington, DC seeks a Digital Program Specialist – Data Analytics to bridge business needs with data engineering. You will translate requirements into data logic, align KPI definitions, and ensure consistent, decision-ready data across platforms.

You will lead data governance practices, support enterprise data initiatives and board reporting, and coordinate with stakeholders across finance, risk, operations, and portfolios to deliver reliable analytics.