Director, Data Products & Analytics Strategy (dbt/SQL/Python)

Location: San Francisco, California; must be based in the Bay Area and work from the San Francisco office approximately one day per week, generally Wednesdays.

Salary: $200K–$260K per year, depending on experience and qualifications.

Company

hirify.global develops simple, powerful, and secure solutions that help customers accelerate business transformation.

What you will do

• Define and maintain a cross-domain data products and analytics strategy across GTM, Finance, Customer, Product, Marketing, and other enterprise areas.
• Partner with senior business leaders to frame questions, clarify requirements, define metrics, and sequence an outcome-focused analytics roadmap.
• Design, build, and review production-grade dbt models across staging, intermediate, and mart layers.
• Use SQL and Python for transformation, data quality, automation, exploratory analysis, custom dbt macros, and performance investigations.
• Build or oversee governed, performant Tableau dashboards and self-service analytics assets.
• Coordinate priorities and delivery standards across Analytics Engineering, Governance, and AI/ML while mentoring practitioners and driving engineering discipline.

Requirements

• 7+ years of experience in analytics engineering, business intelligence, data products, analytics strategy, or related data roles.
• Production-grade dbt experience, including multi-layer models, macros, tests, and reusable modeling patterns.
• Expert SQL and strong Python skills for analytics and data engineering use cases.
• Experience building governed Tableau dashboards or equivalent BI products and presenting design decisions to executives and business users.
• Experience with a modern cloud data warehouse, preferably BigQuery, plus data modeling, semantic layers, lineage, Git, code review, and CI/CD.
• Practical experience using AI tools such as Claude, Gemini, or GitHub Copilot, with responsibility for reviewing code, validating results, and addressing security, privacy, performance, and maintainability.

Nice to have

• Production experience with MetricFlow or the dbt Semantic Layer.
• Experience in SaaS or recurring-revenue businesses and with GTM, Finance, Customer, Product, or Marketing data.
• Exposure to Dataplex, Fivetran, data cataloging, ELT, observability, or data-quality tooling.
• Experience rationalizing reporting portfolios, increasing self-service adoption, and measuring data-product value.
• Experience in distributed data organizations or working with senior operating leaders and board-facing teams.

Culture & Benefits

• People-first environment focused on collaboration, accountability, empathy, and purposeful leadership.
• Distributed Enterprise Data team with collaboration across Analytics Engineering, BI, Governance, AI/ML, and domain experts.
• Flexible hybrid schedule with approximately one office day per week and some flexibility around the day and frequency.
• Equal employment opportunity workplace.