Overview
Hybrid
$140,000 - $180,000
Full Time
Skills
AI/ML
Data Analytics
python
tensorflow
Job Details
Job Title: Senior Leader - AI/ML and Data Analytics Transformation
Location: Atlanta, GA or Dallas, TX (Hybrid Preferred)
Key Responsibilities:
- Define and execute the organization s AI/ML and data analytics strategy aligned with business objectives.
- Lead the design, development, and deployment of advanced machine learning models, predictive systems, and analytics solutions.
- Build and manage a multidisciplinary team of data scientists, ML engineers, data analysts, and architects.
- Drive innovation through the adoption of cutting-edge AI technologies, including generative AI and large language models.
- Work closely with C-level stakeholders, clients, and business units to identify opportunities for data-driven transformation.
- Oversee end-to-end project delivery: from requirements gathering and data modeling to model deployment and performance monitoring.
- Ensure best practices for data governance, model interpretability, scalability, and compliance.
- Establish strategic partnerships with cloud vendors, AI research communities, and academic institutions.
Required Qualifications:
- Master s or PhD in Computer Science, Data Science, Statistics, or a related field.
- 12+ years of experience in data analytics, machine learning, or AI, with at least 5 years in a senior leadership role.
- Proven track record of leading large-scale AI/ML and data transformation programs.
- Strong hands-on and architectural knowledge of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data stack (e.g., Databricks, Snowflake).
- Strong communication, leadership, and stakeholder engagement skills.
- Experience managing geographically distributed teams.
- Industry knowledge in Finance, Healthcare, Retail, or Manufacturing is a plus.
Preferred Skills:
- Experience with Generative AI, NLP, and LLMs.
- Familiarity with MLOps, CI/CD for ML, and model lifecycle management.
- Thought leadership: publications, speaking engagements, or patents in the AI/ML space.
- Certifications in cloud and/or advanced data science domains.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.