Top Senior Data & Analytics Jobs

Lead design and delivery of a next-generation workplace data platform—own architecture, enable advanced analytics/AI, drive data governance, mentor engineers, and advise leadership on large-scale data solutions.

Lead enterprise data management initiatives to improve data quality, transparency, and governance. Advise senior leadership, design and execute complex analyses, remediate data issues, define long-term solutions, and drive cross-functional collaboration on metadata, lineage, risk management, automation, and AI-enabled data capabilities.

Support valuation and risk analytics for consumer credit card portfolios, maintaining and deploying models (including quarterly FAS107 valuation), leading projects, reconciling data, producing reports, and collaborating with stakeholders to deliver P&L and forecasting insights.

Design and implement scalable, cloud-native data platforms for real-time streaming and batch analytics. Lead architecture, governance, security (ITAR), cost optimization, and observability; mentor teams and support modernization programs (Synapse, Purview, Databricks). Ensure solutions meet U.S. export control and security clearance requirements.

Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.

Design, build, and deliver scalable data pipelines and products end-to-end. Partner with analytics, product, and engineering to ingest diverse data sources, implement dbt transformations, ensure data quality, CI/CD, observability, monitoring, and cost/performance optimization. Leverage AI/automation for self-service tooling and intelligent pipelines while driving stakeholder alignment and reliable production operations.

Design, build, and optimize scalable data platforms, pipelines, and data lakes. Develop distributed data processing pipelines, automate workflows, integrate diverse data sources, implement data modeling and database design, ensure data security and governance, troubleshoot production issues, own full SDLC delivery, drive performance and reliability improvements, collaborate across teams, and mentor other engineers.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Improve pipeline performance, reliability, and observability across distributed systems, define unified ingestion architectures, work with Snowflake for analytics, mentor engineers, and collaborate cross-functionally to ensure scalable, fault-tolerant data platforms.

Lead analytics workstreams for commercial payments fraud detection and operations. Translate business needs into scalable analytics, build dashboards and data products, evaluate and optimize models/rules, automate reporting pipelines, and deliver actionable insights to reduce fraud losses and improve operational effectiveness across stakeholders.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Own and build canonical data models and metric definitions using dbt and cloud warehouses. Create tests, documentation, lineage, and data quality checks; reconcile metrics across teams and payer customers; partner with analysts, data scientists, product, engineering, and finance; optimize warehouse performance, cost, and PHI-aware access patterns.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.