Job Title: Director / Senior Director Data & AI
Location: Dallas TX
Reporting To: Chief Data Officer
Role Overview
We are seeking a seasoned Data & AI leader to serve as a direct report (N-1) to the Chief Data Officer driving enterprise-wide data strategy execution AI transformation and data-driven business outcomes. This role will play a critical part in translating the organizations data vision into scalable solutions while partnering closely with business and technology leaders across the enterprise.
Key Responsibilities
1. Data Strategy & Execution
- Partner with the Chief Data Officer to operationalize the enterprise data strategy and roadmap
- Drive implementation of data platforms governance frameworks and analytics capabilities
- Ensure alignment of data initiatives with business priorities and measurable outcomes
2. AI & Advanced Analytics Leadership
- Lead development and deployment of AI/ML solutions across key business functions
- Identify high-impact use cases and drive adoption of predictive and prescriptive analytics
- Oversee data science machine learning and advanced analytics teams
3. Data Platform & Engineering Oversight
- Own modern data architecture including data lakes warehouses and real-time data pipelines
- Ensure scalability reliability and performance of data platforms
- Drive cloud data transformation initiatives (AWS/Azure/GCP)
4. Data Governance Quality & Compliance
- Establish and enforce data governance data quality and data security standards
- Ensure compliance with US regulatory requirements (e.g. GDPR CCPA HIPAA where applicable)
- Promote data stewardship and accountability across the organization
5. Business Partnership & Stakeholder Management
- Collaborate with business leaders to enable data-driven decision-making
- Act as a trusted advisor to CXOs and functional heads
- Drive change management and data literacy across the enterprise
6. Team Leadership & Capability Building
- Build mentor and scale high-performing data analytics and engineering teams
- Foster a culture of innovation collaboration and continuous learning
- Drive hiring retention and capability development strategies
Key Requirements
- 15-18 years of experience in Data Analytics and AI with at least 5 years in leadership roles
- Proven experience working closely with or reporting to a Chief Data Officer / CXO
- Strong expertise in data platforms cloud ecosystems and AI/ML technologies
- Demonstrated success in driving enterprise-scale data transformation programs
- Experience in industries such as Manufacturing Retail BFSI or Technology preferred
- Strong understanding of data governance privacy and regulatory frameworks in the US
- Excellent stakeholder management and communication skills
Preferred Qualifications
- Masters degree or higher in Computer Science Data Science Engineering or related field
- Experience in global organizations and managing distributed teams
- Exposure to GenAI MLOps and modern data stack tools
Job Title: Director / Senior Director Data & AI Location: Dallas TX Reporting To: Chief Data Officer Role Overview We are seeking a seasoned Data & AI leader to serve as a direct report (N-1) to the Chief Data Officer driving enterprise-wide data strategy execution AI transformation and data...
Job Title: Director / Senior Director Data & AI
Location: Dallas TX
Reporting To: Chief Data Officer
Role Overview
We are seeking a seasoned Data & AI leader to serve as a direct report (N-1) to the Chief Data Officer driving enterprise-wide data strategy execution AI transformation and data-driven business outcomes. This role will play a critical part in translating the organizations data vision into scalable solutions while partnering closely with business and technology leaders across the enterprise.
Key Responsibilities
1. Data Strategy & Execution
- Partner with the Chief Data Officer to operationalize the enterprise data strategy and roadmap
- Drive implementation of data platforms governance frameworks and analytics capabilities
- Ensure alignment of data initiatives with business priorities and measurable outcomes
2. AI & Advanced Analytics Leadership
- Lead development and deployment of AI/ML solutions across key business functions
- Identify high-impact use cases and drive adoption of predictive and prescriptive analytics
- Oversee data science machine learning and advanced analytics teams
3. Data Platform & Engineering Oversight
- Own modern data architecture including data lakes warehouses and real-time data pipelines
- Ensure scalability reliability and performance of data platforms
- Drive cloud data transformation initiatives (AWS/Azure/GCP)
4. Data Governance Quality & Compliance
- Establish and enforce data governance data quality and data security standards
- Ensure compliance with US regulatory requirements (e.g. GDPR CCPA HIPAA where applicable)
- Promote data stewardship and accountability across the organization
5. Business Partnership & Stakeholder Management
- Collaborate with business leaders to enable data-driven decision-making
- Act as a trusted advisor to CXOs and functional heads
- Drive change management and data literacy across the enterprise
6. Team Leadership & Capability Building
- Build mentor and scale high-performing data analytics and engineering teams
- Foster a culture of innovation collaboration and continuous learning
- Drive hiring retention and capability development strategies
Key Requirements
- 15-18 years of experience in Data Analytics and AI with at least 5 years in leadership roles
- Proven experience working closely with or reporting to a Chief Data Officer / CXO
- Strong expertise in data platforms cloud ecosystems and AI/ML technologies
- Demonstrated success in driving enterprise-scale data transformation programs
- Experience in industries such as Manufacturing Retail BFSI or Technology preferred
- Strong understanding of data governance privacy and regulatory frameworks in the US
- Excellent stakeholder management and communication skills
Preferred Qualifications
- Masters degree or higher in Computer Science Data Science Engineering or related field
- Experience in global organizations and managing distributed teams
- Exposure to GenAI MLOps and modern data stack tools
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