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Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
About the role
- Data Manager leading a team of engineers to enhance data architecture and analysis capabilities at Huckberry. Overseeing data projects to meet business goals while ensuring quality and efficiency.
Responsibilities
- Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives
- Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)
- Partner with the VP of Technology to maintain, optimize, and evolve Huckberry’s data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)
- Build out and maintain Huckberry’s semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms
- Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business
- Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams
- Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards
- Manage and mentor the data team, providing clear direction, code review, and performance feedback
- Evaluate and recommend new tools, vendors, or architectural changes to improve the data platform’s capabilities and cost-efficiency
Requirements
- 5+ years of experience in data engineering, analytics engineering, or a related technical data role
- Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external
- Strong proficiency with SQL and at least one programming language (Python preferred)
- Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms
- Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics
- Track record of balancing technical execution with project management and stakeholder communication
- Comfort working in a lean, fast moving environment where you’ll alternate between strategic planning and hands on building
- Nice to Have
- Experience with semantic layer tooling (dbt Semantic Layer, Cube, Looker’s modeling layer) or defining governed metrics and business logic as reusable definitions
- Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar
- Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)
- E-commerce or DTC retail experience
Benefits
- Medical, Dental, Vision benefits
- 401(k) and employer match
- Annual Huckberry shopping credits
- Paid Sabbatical leave at 4 years
- Summer Fridays
- Weekly catered lunch
- Monthly happy hours
- Mental health resources
- Paid Parental Leave
- Paid Vacation & Paid Sick Leave
- Volunteer Time Off
- Generous employee discount
- WFH flexibility
- Annual offsites
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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