Senior Director of Data Product Management

TL;DR

Senior Director of Data Product Management: Owning the vision, strategy, and execution of internal data product portfolios with an accent on democratizing data access and building trusted, governed golden data assets. Focus on driving large-scale enterprise data initiatives, managing product teams, and accelerating the adoption of self-serve analytics across the company.

Location: Must be based in the United States (remote or hybrid from NYC, Austin, Palo Alto, or San Francisco).

Salary: $168,000 – $330,000 USD.

Company

hirify.global is a leading global database platform provider, empowering innovators to transform industries with software and cloud-native database solutions.

What you will do

• Own and communicate a multi-year product vision and strategy to transform hirify.global into a Data-Driven Enterprise.
• Lead, mentor, and grow a team of Product Managers within a high-performance, impact-oriented culture.
• Partner with Data Engineering, Architecture, and Governance teams to deliver scalable data products like pipelines, dashboards, and APIs.
• Champion the creation of single-source-of-truth golden data assets and self-serve frameworks for business users.
• Collaborate with C-suite stakeholders to identify high-value opportunities where data products improve decision-making and automate workflows.
• Define and own success metrics for the internal data product portfolio to demonstrate clear business impact.

Requirements

• 10+ years of product management experience, with 3–5+ years in a senior leadership role managing managers.
• Must be based in the United States and eligible to work in the U.S.
• Demonstrated experience leading enterprise-wide data democratization or platform initiatives.
• Deep understanding of modern data ecosystems, including lakehouse/medallion architectures and governance.
• Exceptional executive presence and communication skills suitable for C-suite engagement.
• Proven track record of building and scaling self-serve analytics or data enablement programs.

Nice to have

• Background in analytics, data science, or data engineering.
• Familiarity with metadata management, data discoverability, or data catalog tools.
• Exposure to AI/ML product development in enterprise environments.

Culture & Benefits

• Competitive base salary, equity, and participation in the employee stock purchase program.
• Comprehensive health insurance, including transgender-inclusive coverage.
• 20 weeks of fully-paid gender-neutral parental leave.
• Flexible paid time off and mental health counseling resources.
• Supportive, inclusive culture emphasizing personal growth and professional development.