Analytics Solutions - Vice President
On-sitePlano, Texas, United States
Job Summary
Lead complex data and end-to-end initiatives from discovery through implementation, translating ambiguous business needs into clear requirements for data structures, sources, identifiers, and transformation logic. Investigate product definitions, systems of record, and business rules to establish current state, then evaluate solution options within established strategy and architecture guardrails to determine what should be reused, integrated, or automated. Partner with Business, Product, Technology, and data-governance partners to connect trusted data to controlled execution, formalize entities and metrics using documentation and schemas, and develop reusable patterns for product discovery and onboarding. This role requires 7+ years in data analytics or management consulting within complex environments, strong SQL proficiency, and experience across heterogeneous systems. The position is a Vice President level role within the Commercial & Investment Bank's Global Services Data Analytics team, offering full sponsorship and comprehensive benefits.
Required Qualifications
- 7+ years in data analytics, strategy, integration, analytical product delivery, management consulting, or a related discipline in complex environments
- Experience leading ambiguous data or analytical initiatives through requirements clarification, solution design, stakeholder alignment, validation, implementation, and adoption
- Demonstrated judgment in evaluating reuse, integration, automation, tooling, AI-assisted versus deterministic methods, and when a solution should be changed, deferred, or avoided
- Experience across heterogeneous systems with challenges involving grain, identifiers, relationships, definitions, source authority, interfaces, or data quality
- Strong SQL proficiency across relational or cloud platforms, with technical fluency to investigate data, validate logic, and work credibly with engineering teams
- Experience defining business metrics or operational state with explicit grain, logic, source data, assumptions, exclusions, and validation criteria
- Experience producing structured documentation, including dictionaries, mappings, lineage, metadata, business rules, version history, validation status, ownership, and limitations
- Strong communication and delivery skills, including translation across business and technical audiences and management of concurrent initiatives with limited supervision
Desired Qualifications
- Financial services or similarly complex regulated-industry experience
- Experience with modern cloud data platforms, particularly Snowflake and AWS services
- Experience with data modeling, integration architecture, APIs, event data, or semantic layers connecting meaning and state across systems
- Experience modernizing legacy ETL, reporting, BI, spreadsheet, or manual data processes while preserving required functionality
- Experience supporting platform migrations and reconciling current-state data, logic, metrics, controls, and target-state requirements
- Experience operating governance forums or approval processes for definitions, linkages, execution events, quality thresholds, or analytical assets
- Experience creating reusable discovery, onboarding, validation, synchronization, or delivery methods that scale across products or domains
- Proficiency in Python or R and a quantitative, technical, business, or information-science degree, or equivalent practical experience
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