Senior Vice President of AI, Data, and Analytics

Burtch Works; Dallas (TX); On-site; USD 250,000 - 420,000; Full time

Job summary

Burtch Works, in Dallas, is seeking a Senior Vice President of AI, Data and Analytics to join the executive leadership team on-site five days per week. The role requires 10+ years in data architecture, engineering, and analytics, with at least 5 years in leadership, and a track record of leading data teams and programs.

The SVP will own the data architecture, strategy, and governance; define and implement AI, data science, and ML strategies; build delivery teams; and drive analytics integration

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• 10+ years in data architecture, engineering, analytics; 5+ years in leadership.
• Strong command of data and ML principles; capable of deploying agentic AI solutions.
• Experience integrating AI into core enterprise systems via APIs and governance.

Responsibilities

• Define and communicate data strategy and ensure alignment with business goals.
• Partner with executive stakeholders to embed data insights into strategic planning and decision-making.
• Establish data governance standards, policies, and master data management across the enterprise.
• Lead architecture of data environment (pipelines, warehouse, lakes, visualizations) and enable AI/ML enablement.
• Mentor and grow Data Analytics teams, expanding self-service capabilities across FP&A, revenue, and initiatives.

Skills

Data architecture

Leadership

AI strategy

Communication

Data governance

ML concepts

Education

Bachelor's degree in Data Science, Statistics, CS

Tools

Python

SQL

Power BI

Tableau

Job description

Job Title:

Senior Vice President of AI, Data and Analytics

Location:

Dallas, TX (On-site, 5 days per week)

About The Company

Our client is a national, industry-leading hospitality and lifestyle company with a large, multi-site portfolio of premier locations across the United States. We are a growing, fast-paced organization committed to treating every Teammate with dignity and respect, serving our Members with humility and responsiveness, acting with integrity, and continuously seeking new and better ways to deliver an exceptional member experience.

Job Summary

We are looking for a Senior Vice President of AI, Data and Analytics to join the executive leadership team in Dallas, TX. This role is on-site five days per week. The ideal candidate will be a seasoned data and AI leader with 10+ years of experience across data architecture, engineering, and analytics, including at least 5 years leading teams, who pairs deep technical expertise with exceptional communication and program leadership. This role will own the company's data architecture, strategy, and governance; define and implement the AI, data science, and machine learning strategy; build the data delivery teams; and drive analytics and algorithm integration into operational systems to enable data-driven decision-making across every business function.

Key Responsibilities

• Data & AI Strategy and Vision: Define and communicate the organization's data strategy and lead company-wide alignment of data, AI, data science, and machine learning initiatives with business goals. Success means a clear, adopted roadmap whose impact on strategic objectives and key metrics is measured and communicated to the executive team.
• Strategic Business Partnership: Partner with the executive team and business stakeholders to identify opportunities and embed data and visualization insights into strategic planning, driving revenue growth, member satisfaction, and cost optimization. Success means analytics that are used consistently in decision-making and that evolve with the business.
• Data Governance and Stewardship: Establish standards, policies, and frameworks for data quality, security, governance, and regulatory compliance, including a comprehensive data stewardship program and master data management with defined standards for accuracy and availability. Success means trusted, well-governed data across the enterprise.
• Data Architecture and AI Enablement: Establish and document the enterprise data domain, and partner with engineering to design and evolve the data environment (pipelines, warehouse, lakes, and visualizations), ensuring accuracy through validation, monitoring, and testing. Apply machine learning, AI, and statistical methods, including agentic AI solutions, to derive actionable insights and integrate them into operational systems. Success means a reliable, AI- and ML-ready platform that maximizes data from all source systems.
• Team Leadership and Self-Service Enablement: Lead, recruit, develop, and mentor the Data Analytics group with a strong emphasis on business knowledge, collaboration, and data acuity, while growing self-service capabilities across FP&A, revenue management, and strategic initiatives. Success means a high-performing, growth-oriented team and business partners empowered to access insights independently.

Requirements

• Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Experience: Minimum of 10 years of experience in data architecture, engineering, and analytics, with at least 5 years in a leadership capacity and demonstrated success leading data teams and projects.
• Technical Skills: Strong command of fundamental data and ML principles (model creation, training, evaluation, MLOps); experience designing and deploying agentic AI solutions that automate workflows and securely leverage enterprise data; experience integrating AI into core enterprise systems and business processes through APIs, orchestration, and governed data access; proficiency in Python and SQL; expertise with Power BI and Tableau; strong understanding of ML frameworks and libraries, data warehousing, and data architecture; experience standing up and operating an AI/ML-capable data environment; experience with big data technologies; expertise in statistical analysis, predictive modeling, and data visualization.
• Other: Ability to work on-site in Dallas, TX five days per week; exceptional leadership and communication skills, including the ability to convey complex technical concepts to non-technical stakeholders; strong analytical and problem-solving abilities; commitment to following company safety and environmental policies, completing related training, and promoting safety across all projects.

Preferred Qualifications

• Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, or a related field
• Experience leading data and AI transformation in a multi-site, member- or customer-centric business
• Track record of coaching teams through change and building high-performing, continuous-learning cultures