VP, AI & Machine Learning – LD Modeling & Arch

Circana

. Lead the design and implementation of enterprise-wide data, analytics, and business intelligence architectures .

Posted 9/22/2026full-timeRemote • United StatesLead💰 $180,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Enterprise Data Architecture, Data Modeling, and Business Intelligence, with a strong focus on Data Governance, Data Security, and advanced analytics solutions. Proven ability to lead cross-functional teams and drive innovation in data platforms and cloud technologies.

Highest-signal resume keywords

Enterprise Data ArchitectureData ModelingBusiness Intelligence Solution DesignMachine Learning ImplementationCloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLC/C++ ProgrammingJava ProgrammingData GovernanceData SecurityData Quality StandardsStatistical ModelingBig Data PlatformsDistributed SystemsData Processing Architectures

Soft Skills

Technical LeadershipMentorshipCommunicationStakeholder ManagementTeam Development

Tools & Technologies

Analytics PlatformsCloud TechnologiesData Automation FrameworksHigh-Performance ComputingData Integration Tools

Industry Keywords

Data ArchitectureData AnalyticsBusiness IntelligenceData Governance Best PracticesEnterprise Data Management

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaSQLC++

About the role

Key responsibilities & impact

Lead the design and implementation of enterprise-wide data, analytics, and business intelligence architectures
Develop scalable data models, frameworks, and architectures for reporting, analytics, and advanced data science initiatives
Design and oversee analytical, multidimensional, and statistical models
Integrate and optimize diverse data sources across enterprise systems and platforms
Establish and maintain data governance, security, and data quality standards
Develop automation frameworks and modeling methodologies
Partner with business stakeholders, architects, engineers, and cross-functional teams on solution delivery
Provide technical leadership, mentorship, and guidance to data architects, engineers, and analytics professionals
Drive innovation across data platforms, cloud technologies, machine learning, and high-performance computing
Evaluate emerging technologies and recommend solutions to enhance data and analytics capabilities

Requirements

What you’ll need

Extensive experience in Enterprise Data Architecture, Data Modeling, and Business Intelligence solution design and delivery
Deep knowledge of Big Data Platforms, Distributed Systems, and scalable data processing architectures
Strong understanding of Data Governance, Data Security, and enterprise data management best practices
Experience implementing and supporting Machine Learning, advanced analytics, and statistical modeling solutions
Proficiency with SQL and analytical database technologies
Strong programming experience in C/C++, Java, or related enterprise development languages
Experience working with Cloud Technologies and modern data platform ecosystems
Demonstrated ability to lead large-scale technology initiatives and influence technical strategy
Strong communication and stakeholder management skills
Proven leadership experience guiding and developing high-performing technical teams
Successful completion of a background check may be required

Benefits

Comp & perks

Flexible and accommodating work environment
Paid time off
Medical, dental, and vision insurance
401(k)
Bonus pay eligibility
Background-check process with notice and consent protections
AI-assisted resume screening