Note: The job is a remote job and is open to candidates in USA. Forward Financing is a financial technology company focused on unlocking capital for small businesses. They are seeking a Manager of Analytics Engineering to lead a team in building a centralized, AI-ready data foundation, driving technical direction, and developing scalable data products.
Responsibilities
- Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture
- Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack
- Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt
- Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth
- Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products
- Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences
- Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers
- Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow
- Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow
Skills
- 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with a strong foundation in SQL and dimensional/data modeling
- 2+ years of people management experience leading senior individual contributors, including driving performance and career development
- Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including incremental models, testing strategies, and macros
- Demonstrated experience designing and operating a semantic or metrics layer that serves as a trusted source of truth across an organization
- Track record of partnering directly with senior cross-functional leaders (Finance, Risk, Operations, Product, etc.) to translate business problems into durable data products
- Excellent written and verbal communication skills - able to make complex technical decisions accessible to executives and non-technical partners
- Proven ability to coach engineers, raise the technical bar, and deliver consistently against an ambitious roadmap
- Experience integrating AI or LLM-based capabilities into the analytics stack (e.g., Snowflake Intelligence)
- Experience in fintech, lending, or another regulated, data-intensive industry
- Experience with streaming data or CDC pipelines (Streamkap, Fivetran, or similar) and real-time analytics use cases
- Familiarity with BI tools such as Tableau, Looker, or similar
- Python proficiency for data transformations or workflow tooling
Benefits
- Medical
- Dental
- Vision
- Commuter benefits
- A flexible time-off policy
- Paid parental leave
- 401k match for US employees
- Wellness reimbursement
- Volunteering days
- Annual professional development budget
- Charitable donation match
- Remote-first company
- Employees are welcome to work from one of our premiere office locations
Company Overview
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