Vice President, Data & Insights

Accountabilities:

• Define and execute a long-term data and analytics strategy, including modern data platform architecture, certified datasets, and scalable governance frameworks.

• Lead the shift toward AI-enabled, self-service analytics, reducing dependency on manual reporting and enabling autonomous insights for business teams.

• Oversee data engineering, analytics engineering, governance, and embedded analytics functions to ensure scalable, reliable, and high-quality data systems.

• Develop and maintain governed semantic layers and reusable data models that serve as trusted enterprise-wide data products.

• Establish data quality, lineage, access control, and compliance standards to strengthen trust and consistency in data usage.

• Partner with executive leadership across multiple functions to translate business needs into scalable data solutions and strategic insights.

• Drive adoption of AI, emerging analytics tools, and modern data practices to continuously evolve the organization’s data capabilities.

Requirements

• 12+ years of progressive experience in data leadership roles, including 5+ years managing large, cross-functional data teams in high-growth environments.

• Strong expertise in modern data platform architecture, including data modeling, certified datasets, and scalable analytics infrastructure.

• Proven success in building or leading self-service analytics transformations within complex organizations.

• Deep understanding of SaaS or usage-based business models, including metrics, telemetry, and revenue-driven analytics.

• Experience with analytics engineering practices, including semantic layers and modern data transformation tools.

• Strong executive presence with the ability to influence and partner with C-level stakeholders across multiple business functions.

• Track record of leading distributed, remote-first teams with a culture of ownership, collaboration, and continuous improvement.

• Strategic and forward-thinking mindset with the ability to evaluate and adopt emerging AI and data technologies effectively.

Benefits

• Competitive compensation package including base salary, annual bonus, and performance incentives

• Equity compensation and employee stock purchase opportunities

• Flexible paid time off and company holidays

• Comprehensive medical, dental, and vision insurance coverage

• Health savings and flexible spending account options

• 401(k) retirement plan with employer matching contribution

• Parental leave and family support benefits

• Remote-first work environment with home office support

• Professional growth and development funding

• Employee resource groups and inclusive workplace programs.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1