Forward Financing

3 weeks ago

Manager, Analytics Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead a hands-on Analytics Engineering team to build and centralize an AI-ready data foundation. Own technical direction across the Snowflake + dbt stack, including the semantic layer and metrics standards that power a single source of truth for dashboards, models, and AI experiences. Partner with Sales, Underwriting, Finance, Risk, Operations, and Product to translate business problems into trusted, scalable data products while driving quality, observability, governance, and team hiring.

Location: Boston

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead, coach, and develop a team of Lead and Senior Analytics Engineers to drive career growth and a high-trust culture.
•Stay hands-on by writing and reviewing SQL/dbt code, driving technical design, and upholding a high bar for testing and documentation across the Snowflake + dbt stack.
•Own the roadmap for your portion of the analytics platform, prioritizing work that maximizes business impact while balancing delivery, quality, and technical debt.
•Drive centralized data and semantic layer build-out in partnership with Business Intelligence and Analytics to support a single source of truth for KPIs, dashboards, models, and AI agents.
•Champion data quality, observability, and governance (testing, lineage, cataloging, and incident response) and improve dbt architecture, performance, incremental strategies, and CI/CD practices.

Pay and Benefits

Salary: USD 170,000 - 200,000 annually

Perks:MedicalDentalVision401kCommuter BenefitsParental LeaveWellness StipendLearning BudgetVolunteering Days

Key Requirements

•7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with strong SQL and dimensional/data modeling skills.
•2+ years of people management experience leading senior individual contributors, including performance and career development.
•Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake preferred), including incremental models, testing strategies, and macros.
•Proven experience designing and operating a semantic or metrics layer used as a trusted source of truth across an organization.
•Track record partnering with cross-functional senior leaders to translate business problems into durable data products.

Experience:7+ yearsFintechLending

Skills:CommunicationCoachingTechnical leadershipStakeholder management

Tech Stack:SQLDbtSnowflakeCI/CDTableauLookerPythonStreamkapFivetran

Company Brief

Forward Financing

Forward Financing is a Boston-based fintech lender that provides fast, flexible revenue-based working capital to small businesses nationwide, using proprietary underwriting and capital markets facilities to deliver timely funding solutions.

Industry: Lending

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Boston, United States

Founded: 2012

Glassdoor: 4.7

Website LinkedIn Glassdoor

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Forward Financing

3 weeks ago

Manager, Analytics Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Boston

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead, coach, and develop a team of Lead and Senior Analytics Engineers to drive career growth and a high-trust culture.
•Stay hands-on by writing and reviewing SQL/dbt code, driving technical design, and upholding a high bar for testing and documentation across the Snowflake + dbt stack.
•Own the roadmap for your portion of the analytics platform, prioritizing work that maximizes business impact while balancing delivery, quality, and technical debt.
•Drive centralized data and semantic layer build-out in partnership with Business Intelligence and Analytics to support a single source of truth for KPIs, dashboards, models, and AI agents.
•Champion data quality, observability, and governance (testing, lineage, cataloging, and incident response) and improve dbt architecture, performance, incremental strategies, and CI/CD practices.

Pay and Benefits

Salary: USD 170,000 - 200,000 annually

Perks:MedicalDentalVision401kCommuter BenefitsParental LeaveWellness StipendLearning BudgetVolunteering Days

Key Requirements

•7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with strong SQL and dimensional/data modeling skills.
•2+ years of people management experience leading senior individual contributors, including performance and career development.
•Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake preferred), including incremental models, testing strategies, and macros.
•Proven experience designing and operating a semantic or metrics layer used as a trusted source of truth across an organization.
•Track record partnering with cross-functional senior leaders to translate business problems into durable data products.

Experience:7+ yearsFintechLending

Skills:CommunicationCoachingTechnical leadershipStakeholder management

Tech Stack:SQLDbtSnowflakeCI/CDTableauLookerPythonStreamkapFivetran

Company Brief

Forward Financing

Industry: Lending

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Boston, United States

Founded: 2012

Glassdoor: 4.7

Website LinkedIn Glassdoor