Director Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director Data Science (AI): Establishing and scaling enterprise-wide deep analytics and predictive intelligence capabilities with an accent on ML/GenAI integration and business value translation. Focus on building high-performing teams, designing end-to-end analytics architecture, and driving ROI through production-ready ML solutions.
Location: Must be based in or able to commute to Atlanta, GA or Dallas, TX
Company
is a global leader in business cloud software, providing industry-specific suites that leverage data science and user-centric design to drive digital transformation.
What you will do
- Define enterprise machine learning strategy and identify high-value use cases.
- Build and lead high-performing data science teams to deliver production ML systems.
- Embed data science tools into organization-wide decision-making processes.
- Architect end-to-end analytics solutions, from data collection to LLM/GenAI implementation.
- Manage P&L impact and present the ROI of analytics investments to C-suite leadership.
- Oversee model lifecycle management, MLOps practices, and production infrastructure scalability.
Requirements
- Experience in data science, analytics, machine learning, or GenAI with a track record of managing high-performing teams.
- Proven ability to deploy production ML systems that drive measurable business outcomes.
- Hands-on expertise with Python, Spark, TensorFlow/PyTorch, and cloud-native architectures.
- Strong background in GenAI/LLM application development, including fine-tuning, RAG, and Agentic AI frameworks.
- Experience operating within enterprise software, SaaS, or B2B technology environments.
- Expertise in influencing executive leadership and driving organizational change.
Nice to have
- Experience with AWS AI services such as Bedrock or SageMaker.
- Strong background in customer-centric analytics like churn prediction and customer lifetime value.
- Published research, patents, or thought leadership demonstrations in the field.
Culture & Benefits
- Collaborative environment based on Principle Based Management (PBM).
- Commitment to diversity, equity, and inclusion across global teams.
- Focus on innovation, individual growth, and long-term value creation.
- Global exposure working with market-leading industry cloud software.
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