Director of Artificial Intelligence

Qualifications

• 15+ years in data engineering, data architecture, or analytics leadership, including senior-level team management
• Several years of experience deploying AI/ML solutions within a SaaS or enterprise technology environment
• Demonstrated ability to lead teams spanning data engineering, AI/ML, analytics, and platform operations
• Hands-on experience with advanced prompting and LLM-based application development
• Deep understanding of machine learning, statistical modeling, and applied predictive analytics
• Cloud: Azure, AWS, or GCP
• Data platforms: Databricks, Snowflake, Synapse, BigQuery
• Orchestration: dbt, Airflow, Data Factory, Fivetran
• Analytics: Power BI, Tableau, Looker
• AI/ML frameworks: OpenAI, Azure AI, Anthropic/Claude, Bedrock
• Monitoring: Application Insights, Grafana, New Relic
• Experience establishing governance standards for data quality, privacy, ethics, and AI lifecycle management
• Strong grasp of CI/CD practices, DevOps tooling, and engineering productivity metrics
• Familiarity with Agile delivery processes and compliance frameworks such as SOC, PCI, or GDPR
• Excellent communication, leadership, and cross-functional collaboration skills
• A blend of technical depth and strategic insight, the ability to inspire engineering teams, and a passion for building systems that turn raw data and AI capabilities into business-defining outcomes
• You balance innovation with reliability, thrive in complex environments, and elevate everyone around you

Responsibilities

• We’re seeking a Vice President of Data & AI to define and execute a company-wide strategy that elevates product intelligence, operational efficiency, and enterprise decision-making
• This role blends vision, architecture, and hands-on leadership
• You'll design the next generation of AI-driven capabilities, unify data systems across the business, and guide engineering teams in building scalable, reliable, and ethically responsible solutions
• Your work will directly influence product innovation, internal analytics, automation, and strategic insights across a wide range of departments
• Shape and execute a holistic data and AI strategy that strengthens product capabilities and internal intelligence
• Architect AI-powered features that support automation, predictive insights, anomaly detection, and other advanced use cases
• Develop refined prompting, tuning, and interaction methodologies for large language models and generative AI systems
• Build sophisticated machine learning and statistical models that support reliable forecasting and data-driven decisioning
• Craft clear, meaningful analytical stories through data visualizations and executive-ready insights
• Partner with product and design teams to weave data and AI seamlessly into customer-facing workflows
• Develop internal analytics solutions supporting pipeline management, revenue insights, customer health, operational trends, and more
• Assess and recommend emerging AI technologies and tools to enhance productivity and scalability
• Lead the creation of an integrated data platform connecting sources across sales, finance, operations, support, and product telemetry
• Establish a mature governance framework emphasizing responsible AI, transparency, and risk mitigation
• Deliver self-service data assets, curated models, and dashboards for analysts and business teams
• Define engineering standards across architecture, security, quality, and operational readiness
• Create and maintain a long-term roadmap covering platform evolution, technical debt reduction, and modernization initiatives
• Collaborate closely with DevOps and infrastructure teams to ensure stable, high-performance production operations
• Build, lead, and develop a distributed team of data engineers, machine learning engineers, analysts, and technical managers
• Track performance metrics, delivery progress, and organizational impact across all data and AI initiatives
• Act as a strategic advisor to senior technology and product leadership on emerging patterns, platforms, and industry direction

Full Description

VP of Data Science and AI | $200K - $240K | Hybrid | Atlanta, GA

Are you a forward-thinking technical leader who excels at shaping data ecosystems and transforming AI concepts into real, measurable business value?

We’re seeking a Vice President of Data & AI to define and execute a company-wide strategy that elevates product intelligence, operational efficiency, and enterprise decision-making.

This role blends vision, architecture, and hands-on leadership.

You'll design the next generation of AI-driven capabilities, unify data systems across the business, and guide engineering teams in building scalable, reliable, and ethically responsible solutions.

Your work will directly influence product innovation, internal analytics, automation, and strategic insights across a wide range of departments.

If you thrive in high-impact environments, love building modern data platforms, and enjoy mentoring talented technical teams, this is an opportunity to lead with both creativity and precision.

Key Responsibilities

• Shape and execute a holistic data and AI strategy that strengthens product capabilities and internal intelligence.

• Architect AI-powered features that support automation, predictive insights, anomaly detection, and other advanced use cases.

• Develop refined prompting, tuning, and interaction methodologies for large language models and generative AI systems.

• Build sophisticated machine learning and statistical models that support reliable forecasting and data-driven decisioning.

• Craft clear, meaningful analytical stories through data visualizations and executive-ready insights.

• Partner with product and design teams to weave data and AI seamlessly into customer-facing workflows.

• Develop internal analytics solutions supporting pipeline management, revenue insights, customer health, operational trends, and more.

• Assess and recommend emerging AI technologies and tools to enhance productivity and scalability.

• Lead the creation of an integrated data platform connecting sources across sales, finance, operations, support, and product telemetry.

• Establish a mature governance framework emphasizing responsible AI, transparency, and risk mitigation.

• Deliver self-service data assets, curated models, and dashboards for analysts and business teams.

• Define engineering standards across architecture, security, quality, and operational readiness.

• Create and maintain a long-term roadmap covering platform evolution, technical debt reduction, and modernization initiatives.

• Collaborate closely with DevOps and infrastructure teams to ensure stable, high-performance production operations.

• Build, lead, and develop a distributed team of data engineers, machine learning engineers, analysts, and technical managers.

• Track performance metrics, delivery progress, and organizational impact across all data and AI initiatives.

• Act as a strategic advisor to senior technology and product leadership on emerging patterns, platforms, and industry direction.

Required Skills & Experience

• 15+ years in data engineering, data architecture, or analytics leadership, including senior-level team management.

• Several years of experience deploying AI/ML solutions within a SaaS or enterprise technology environment.

• Demonstrated ability to lead teams spanning data engineering, AI/ML, analytics, and platform operations.

• Hands-on experience with advanced prompting and LLM-based application development.

• Deep understanding of machine learning, statistical modeling, and applied predictive analytics.

• Cloud: Azure, AWS, or GCP

• Data platforms: Databricks, Snowflake, Synapse, BigQuery

• Orchestration: dbt, Airflow, Data Factory, Fivetran

• Analytics: Power BI, Tableau, Looker

• AI/ML frameworks: OpenAI, Azure AI, Anthropic/Claude, Bedrock

• Monitoring: Application Insights, Grafana, New Relic

• Experience establishing governance standards for data quality, privacy, ethics, and AI lifecycle management.

• Strong grasp of CI/CD practices, DevOps tooling, and engineering productivity metrics.

• Familiarity with Agile delivery processes and compliance frameworks such as SOC, PCI, or GDPR.

• Bachelor’s degree in a technical field; an advanced degree is a plus.

• Excellent communication, leadership, and cross-functional collaboration skills.

What You’ll Bring

A blend of technical depth and strategic insight, the ability to inspire engineering teams, and a passion for building systems that turn raw data and AI capabilities into business-defining outcomes.

You balance innovation with reliability, thrive in complex environments, and elevate everyone around you.