Current
consumer fintech
Director,AnalyticsEngineering
Neural analysis suggests this role is
optimal for Director candidates.
“Director, Analytics Engineering at Current. Skills: Analytics Engineering, Data Warehousing, Data Modeling, Business Intelligence, SQL, dbt, BigQuery, Airflow, Python, Looker, Leadership. Define and drive the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence”
What You'll Achieve.
ensuring our data and analytics infrastructure is scalable, reliable, and deeply aligned with business goals; Ensure the organization has absolute confidence in the accuracy and integrity of our data assets
Industry & Context.
solve complex problems
What They're Looking For.
Must Have
10+ years of experience in Analytics Engineering, Data Engineering, or Data Architecture, at least 5+ years in a leadership or management capacity, Expert-level SQL and performance tuning skills, Intermediate to advanced level programming skills in Python or other languages
Nice to Have
Direct experience in the Fintech or D2C domains, Experience managing distributed or hybrid teams, Familiarity with data mesh or data contract methodologies, Experience working with and managing a team in different time-zones, dbt (preferred), GCP or AWS cloud ecosystems
What You'll Do.
Define and drive the Analytics Engineering and BI strategy
Own the roadmap and P&L for data warehousing
and business intelligence
Oversee the execution of complex ETL/ELT pipelines
Lead the design and implementation of robust dimensional models
and aggregation layers
Manage and grow a world-class Analytics Engineering team
Define clear career ladders
conduct performance reviews
and foster a culture of technical excellence and data curiosity
Establish frameworks for data reconciliation
Own the Business Intelligence tooling and frameworks
Drive the adoption of data models
customer data platform
business intelligence tooling and reporting frameworks
Implement and evaluate modern tooling for data ingestion
Establish robust data governance practices
How You'll Work.
Team & Collaboration
serve as the primary bridge between technical engineering teams, analysts, product managers and business stakeholders; Collaborate with leaders and stakeholders in different departments; Collaborate with Data Platform Engineers and Infrastructure teams
Communication Scope
Ability to explain complex technical concepts to non-technical stakeholders
Process & Methodology
Own the roadmap and P&L for data warehousing, modeling, and business intelligence
Full Job Description
DIRECTOR, ANALYTICS ENGINEERING Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE As the Director of Analytics Engineering, you will be the strategic architect and hands-on leader of Current’s data transformation layer. You will lead the Analytics Engineering effort for BI and Analytics at Current, ensuring our data and analytics infrastructure is scalable, reliable, and deeply aligned with business goals. This is a high-impact leadership role requiring a "player-coach" mentality. You will define the long-term vision for our data warehouse, oversee the execution of complex ETL/ELT pipelines, and serve as the primary bridge between technical engineering teams, analysts, product managers and business stakeholders. Beyond the tech stack, you will be responsible for mentorship, organizational design, and defining the career paths for a high-performing team of analytics engineers. RESPONSIBILITIES Define and drive the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence across the entire organization. Act as an engineer leading by example when necessary i. e. optimizing complex SQL, reviewing design, dbt models, data models, and troubleshooting high-priority pipeline issues. Lead the design and implementation of robust dimensional models, data marts, and aggregation layers in BigQuery using dbt and Airflow. Collaborate with leaders and stakeholders in different departments to translate business requirements into high-fidelity data models that power Lo
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