[Remote] Manager, Analytics Engineering

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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