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 Looker and downstream analytics.
- Manage and grow a world-class Analytics Engineering team including an off-shore team. Define clear career ladders, conduct performance reviews, and foster a culture of technical excellence and data curiosity.
- Establish frameworks for data reconciliation, quality management, and security. Ensure the organization has absolute confidence in the accuracy and integrity of our data assets.
- Own the Business Intelligence tooling and frameworks
- Drive the adoption of data models, customer data platform, business intelligence tooling and reporting frameworks
- Collaborate with Data Platform Engineers and Infrastructure teams to implement and evaluate modern tooling for data ingestion, transformation, and observability, while also establishing robust data governance practices.
ABOUT YOU
- 10+ years of experience in Analytics Engineering, Data Engineering, or Data Architecture, with at least 5+ years in a leadership or management capacity.
- Proven track record of building and scaling enterprise-grade Data Warehouses from the ground up. You have completed multiple full development lifecycles.
- Deep mastery of Kimball/Star Schema methodologies and how to apply them to modern, high-velocity fintech data.
- Expert-level SQL and performance tuning skills. Significant experience with dbt (preferred), BigQuery (or similar MPP like Snowflake), and orchestration tools like Airflow.
- Intermediate to advanced level programming skills in Python or other languages.
- Extensive experience building scalable data models and reporting layers in Looker (LookML) or similar enterprise BI tools.
- You are comfortable toggling between strategic planning and a terminal window. You enjoy being "on the ground" with your team to solve complex problems.
- You are passionate about mentorship and have experience defining roles, hiring top talent, and managing career growth in a fast-paced environment.
- Strong experience with cloud ecosystems like GCP or AWS.
- Ability to explain complex technical concepts to non-technical stakeholders (e.g., Credit, Finance, and Executive teams).
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.
This role has a base salary range of $270,000 - $330,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
- Competitive salary
- Meaningful equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA benefit
- Employee Assistance Programs focused on mental health
- Healthcare advocacy program for all employees
- Access to mental health apps
- Team building activities
- Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches
