VP, AI & Machine Learning – LD Modeling & Arch

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the design and execution of data, analytics, and business intelligence architectures across the enterprise.

• Create scalable data models, frameworks, and architectures for reporting, analytics, and advanced data science projects.

• Design and supervise analytical, multidimensional, and statistical models.

• Integrate and optimize various data sources across different enterprise systems and platforms.

• Establish and uphold standards for data governance, security, and data quality.

• Develop frameworks for automation and modeling methodologies.

• Collaborate with business stakeholders, architects, engineers, and cross-functional teams to deliver solutions.

• Provide technical direction, mentorship, and support to data architects, engineers, and analytics professionals.

• Promote innovation within data platforms, cloud technologies, machine learning, and high-performance computing.

• Assess emerging technologies and propose solutions to enhance data and analytics capabilities.

⛳️ Requirements

• Extensive experience in Enterprise Data Architecture, Data Modeling, and the design and delivery of Business Intelligence solutions.

• In-depth knowledge of Big Data Platforms, Distributed Systems, and scalable data processing architectures.

• Strong grasp of Data Governance, Data Security, and best practices in enterprise data management.

• Experience in implementing and supporting Machine Learning, advanced analytics, and statistical modeling solutions.

• Proficiency in SQL and analytical database technologies.

• Strong programming skills in C/C++, Java, or similar enterprise development languages.

• Experience working with Cloud Technologies and contemporary data platform ecosystems.

• Proven ability to lead large-scale technology initiatives and influence technical strategies.

• Excellent communication and stakeholder management skills.

• Demonstrated leadership experience in guiding and developing high-performing technical teams.

• Successful completion of a background check may be required.

🏝️ Benefits

• Flexible and accommodating work environment.

• Paid time off.

• Medical, dental, and vision insurance.

• 401(k).

• Eligibility for bonus pay.

• Background-check process with notice and consent protections.

• AI-assisted resume screening.