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Director Artificial Intelligence Testing Jobs in Florida

Alivi

Director of Business Intelligence

Miami, FL · On-site

SUMMARY The Director of Business Intelligence is responsible for defining and executing the ... Advanced Analytics, Artificial Intelligence & Innovation * Guide the development of predictive ...

Alivi Health

Director of Business Intelligence

Miami, FL · On-site

$190 - $230/hr

SUMMARY The Director of Business Intelligence is responsible for defining and executing the ... Advanced Analytics, Artificial Intelligence & Innovation * Guide the development of predictive ...

Synchrony

VP, Cyber Intelligence Leader

Orlando, FL

... include Artificial Intelligence. The ideal candidate will possess financial sector cyber ... Develop detection standards (naming, severity, testing criteria, evidence requirements, runbooks ...

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Director Artificial Intelligence Testing information

What does a director of artificial intelligence testing do?

A Director of Artificial Intelligence (AI) Testing oversees the development, implementation, and management of strategies to test and validate AI systems. This role ensures that AI models and solutions are reliable, ethical, and perform as intended before deployment. Responsibilities include leading teams of testers and engineers, establishing testing protocols, identifying potential biases, and ensuring compliance with regulations. The director also collaborates with other departments to integrate quality assurance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as a director of artificial intelligence testing?

To thrive as a Director of Artificial Intelligence Testing, you need deep expertise in AI/ML concepts, test methodologies, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI testing tools, automation frameworks, and experience with cloud platforms and regulatory compliance systems is essential. Exceptional leadership, strategic thinking, and communication skills enable effective team management and stakeholder collaboration. These skills ensure robust AI system validation, risk mitigation, and the delivery of reliable, ethical AI solutions.

What are the common challenges faced by a director of artificial intelligence testing, and how can they be addressed?

A Director of Artificial Intelligence Testing often faces challenges such as ensuring the reliability and fairness of AI models, keeping up with rapidly evolving technologies, and managing cross-functional teams with diverse expertise. Addressing these challenges requires a strong framework for continuous testing, effective communication across data science, engineering, and QA teams, and staying updated on the latest AI validation tools and best practices. Proactively fostering a collaborative culture and investing in ongoing staff development can also help mitigate risks and drive successful AI deployments.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Florida?

The most popular types of Artificial Intelligence Testing jobs in Florida are:

Director Artificial Intelligence Testing jobs near you

Director of Business Intelligence

Alivi

Miami, FL • On-site

Full-time

Re-posted 11 days ago

Job description

SUMMARY
The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all business functions. This leader provides strategic oversight of Business Intelligence, Data Engineering, Data Governance, and Analytics while partnering with executive leadership to transform enterprise data into measurable business value.
DUTIES & RESPONSIBILITIES
Enterprise Data Strategy & Leadership
  • Serve as the enterprise leader for data governance, data quality, data security, and data management best practices.
  • Establish and maintain enterprise data standards, policies, and procedures.
  • Lead a team of BI developers, data engineers, data analysts, and architects.
  • Partner with executive leadership to identify opportunities where analytics can drive operational and financial performance.
  • Develop and manage BI roadmaps, project portfolios, resource planning, and departmental budgets.

Data Warehouse & Data Lake Architecture
  • Develop scalable data platforms capable of integrating structured and unstructured data from internal and external sources.
  • Lead the development of modern ELT/ETL frameworks and data pipelines.
  • Ensure data models support operational reporting, executive dashboards, predictive analytics, and self-service business intelligence.
  • Establish data lineage, metadata management, master data management, and data cataloging standards.
  • Optimize data storage, performance, scalability, and data accessibility across the organization.

Data Engineering & Data Management
  • Direct enterprise-wide data integration initiatives involving financial, operational, clinical, customer, and third-party systems.
  • Ensure the accuracy, completeness, consistency, and reliability of organizational data assets.
  • Implement processes to monitor data quality and proactively resolve data integrity issues.
  • Oversee data migration, transformation, validation, and reconciliation activities.
  • Establish data retention, archival, security, and compliance standards.
  • Evaluate emerging technologies and platforms to improve enterprise data capabilities.

Business Intelligence, Reporting & Self-Service Analytics
  • Lead the design, development, and deployment of executive dashboards, scorecards, and interactive reporting solutions.
  • Establish enterprise KPI frameworks and performance management metrics.
  • Develop self-service analytics capabilities using modern BI tools.
  • Ensure dashboards provide actionable insights and support strategic, tactical, and operational decision-making.
  • Partner with business stakeholders to gather requirements and translate business needs into scalable reporting solutions.
  • Continuously improve reporting environments to enhance user experience, adoption, and data accessibility.

Advanced Analytics, Artificial Intelligence & Innovation
  • Guide the development of predictive, prescriptive, and diagnostic analytics solutions.
  • Lead initiatives focused on trend analysis, forecasting, segmentation, profitability analysis, resource optimization, and operational performance.
  • Provide strategic recommendations based on complex analyses and business intelligence findings.
  • Drive organization-wide adoption of data-driven decision-making practices.
  • Present analytical findings and business recommendations to executive leadership and key stakeholders.

Operational and Financial Analytics
  • Support financial performance initiatives through advanced reporting and analytics.
  • Develop enterprise reporting for revenue, profitability, cost management, utilization, productivity, and operational effectiveness.
  • Monitor key performance indicators and identify opportunities for process improvement.
  • Collaborate with Finance, Operations, Compliance, and Business Development teams to support strategic initiatives.

Stakeholder Management
  • Partner with business leaders to identify analytics opportunities and prioritize BI initiatives.
  • Act as a trusted advisor to executive leadership on data strategy and business intelligence matters.
  • Communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
  • Foster a culture of collaboration, innovation, and continuous improvement across the organization.

REQUIREMENTS & QUALIFICATIONS
Education
  • Bachelor's degree in computer science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, or related field required.
  • Master's degree preferred.

Experience
  • 8+ years of progressive experience in Business Intelligence, Data Engineering, Data Architecture, Analytics, or related disciplines.
  • 5+ years of leadership experience managing BI, Analytics, or Data Engineering teams.
  • Experience designing and managing enterprise Data Warehouses and Data Lakes.
  • Proven experience leading enterprise-scale data transformation initiatives.
  • Experience supporting executive leadership with strategic reporting and analytics.

Technical Skills
  • Advanced SQL expertise.
  • Data Warehouse Architecture (Kimball, Star Schema, Snowflake Models).
  • Data Lake and Modern Data Platform Architecture.
  • Data Modeling and Database Design.
  • ETL/ELT Development and Data Integration.
  • Microsoft SQL Server, Azure, AWS, Snowflake, Databricks, or equivalent cloud platforms.
  • Data Governance and Master Data Management.
  • Python, R, or other analytics programming languages preferred.
  • Agile project management methodologies.

COMPETENCIES
Strategic Leadership
  • Develop long-term data and analytics strategies aligned with organizational goals.
  • Drives enterprise-wide adoption of data-driven decision-making.

Data Architecture & Management
  • Designs scalable and sustainable data environments.
  • Ensures strong governance, quality, security, and accessibility of data assets.

Business Intelligence
  • Translate complex business requirements into impactful dashboards and reporting solutions.
  • Establish meaningful KPIs and performance monitoring systems.

Analytical Thinking
  • Synthesizes complex data into actionable business insights.
  • Identifies trends, risks, opportunities, and operational improvements.

Project & Program Management
  • Leads large-scale cross-functional initiatives.
  • Effectively manages priorities, resources, timelines, and stakeholder expectations.

Communication & Executive Presence
  • Influences decision-making through data storytelling and strategic recommendations.
  • Effectively communicates with executive leadership, board members, clients, and operational teams.

Innovation & Continuous Improvement
  • Champions emerging technologies and modern analytics practices.
  • Continuously improves data platforms, reporting capabilities, and organizational analytics maturity.

HOW WE BEHAVE: CORE VALUES
  • Collaborative - We are friendly, and always ready to lend a hand; We are humble, and willing to admit mistakes; We trust our team and use respectful conflict to make decisions.
  • Entrepreneurial - We are personally committed, and hunger for Alivi's success; We show passion and do more with what we have; We don't give up and always find ways to get the job done.
  • Dynamic - We gladly welcome change; We are smart, and challenge how things are done. We adapt quickly, and readily embrace new roles, and projects.

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