VP, System Analyst (Data), Group Technology & Ops
Core
Lead end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture to support advanced analytics and AI initiatives in financial services.
Role type
VP, System Analyst (Data)
Builds
Enterprise data platforms, Credit Risk Decision Support Systems, Retail data analytics solutions, NLP-enabled analytics pipelines.
Domain
Financial Services / Data Engineering & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Requirements analysis, Solution design, Test strategy review, Risk management, Product evaluation, Root cause analysis, Process improvement, Data architecture design, AI governance, NLP architecture
Preferred skills
Campaign Analytics, Credit Scoring, Retail & Wholesale Datamarts experience
Technologies
Databricks, Snowflake, Azure Fabric, Google BigQuery, Apache Iceberg, Delta Lake, Apache Hudi, Spark, Trino/Presto, Hive, Informatica, Python, SQL, Power BI, QlikSense
Responsibilities
Lead end-to-end solution delivery for data and analytics across the full SDLC; Analyze business and regulatory requirements and translate them into scalable solution designs; Review and approve test strategies, functional test cases, and data validation approaches; Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines; Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling; Partner with production support team to conduct root cause analysis, resolution, and preventive controls; Drive productivity, efficiency & quality improvements across delivery and operational processes; Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement; Design data architectures supporting NLP and AI-driven analytics; Ensure AI design governance including explainability, lineage, confidence thresholds, and regulatory acceptability.
Seniority
VP, strategic leadership with hands-on technical oversight