Full-Time VP, Data and Analytics

We are looking for a leader to build a world-class data organization to help grow, scale and transform the data and analytics engineering teams at COMPLY.
Reporting to the CTO, this role will be responsible for all aspects of Data Engineering including acquisition, ingestion, normalization and analytics. You will also lead data driven engineering teams delivering software-based data solutions.

Responsibilities:

• Build and lead data engineering teams delivering Data Platform software solutions.
• Ensure solutions focus on reliability, scalability, security, and best in class operability for data pipelines.
• Drive stewardship for data solutions with a model of continual improvement.
• Engage with stakeholders to define and harvest powerful data insights.
• Create a self-service data culture enabling data use across the company.
• Build an analytics roadmap demonstrating continued business value.
• Incubate and grow the use of AI capabilities.
• Hire, nurture and grow a diverse data-driven team.

Qualifications:

• Bachelor's degree in data science, engineering, mathematics or related field.
• Experience building and running highly engaged and productive Engineering teams.
• Strong understanding of modern application and data architecture patterns.
• 5+ years of direct people leadership experience.
• 3+ years managing Data Analytics, Data Science and Data Engineering teams.
• 8+ years of industry experience in data science, data engineering or data insights.
• Experience as a senior developer with strong technical vision.
• Experience building scalable data platforms using Cloud services.
• Strong communication skills to facilitate strategic conversations with key stakeholders.

Nice to Have:

• Experience in financial services
• AWS, Azure, or GCP certifications
• Experience with high scale data centric APIs
• Experience with product management practices
• Exposure to AI models and experience scaling AI/ML platforms
• Experience collaborating with production operations teams

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