Intellibus is a company focused on engineering platforms that impact billions of lives globally. They are seeking a Principal/Senior Consulting Business Analyst to lead complex transformation initiatives for large financial services platforms, acting as a trusted advisor and driving alignment across various teams.
Responsibilities:
- Lead business analysis and data strategy across large, multi-team financial platform initiatives
- Partner with client executives, product owners, and engineering leadership to define end-to-end solution scope
- Own complex data mapping, transformation logic, and validation strategy across systems
- Translate regulatory, operational, and product needs into technical execution plans
- Drive prioritization and trade-off decisions across business and technology stakeholders
- Establish governance around requirements, data quality, and delivery milestones
- Lead cross-functional workshops with senior business, compliance, and technology teams
- Mentor junior analysts and set standards for business analysis excellence
- Act as escalation point for data and integration risks impacting business delivery
- Represent Intellibus as a senior consulting leader embedded within client programs
Requirements:
- Education: Bachelor's or Master's in Engineering, Computer Science, or related field
- 15+ years of experience leading business analysis and data transformation initiatives in financial services
- Proven experience working in consulting or advisory environments serving large enterprise financial platforms
- Strong background in banking, capital markets, mortgage, payments, or regulatory data systems
- Demonstrated ability to lead complex, multi-stakeholder programs
- Strong technical fluency with data platforms, integration architectures, and system design
- Ability to communicate effectively with executive, product, compliance, and engineering audiences
- Comfortable making decisions in ambiguous, high-pressure delivery environments
- Financial data models: transactions, positions, balances, reference data
- Source-to-target mapping and data lineage
- SQL and data validation techniques
- ETL and event-driven data pipelines
- APIs and service-oriented architectures
- Regulatory and operational reporting workflows
- Agile delivery at enterprise scale