Senior Manager, Data Science - AI for BI

New

JobgetherData science and AI

Fully remote working arrangement within the United States.Full-TimeManager

Salary150,000 - 180,000 USD per year

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Job Details

Experience: At least 7 years of progressive experience in data science, analytics, machine learning, or artificial intelligence.
Required Skills: PythonSQLMachine LearningData scienceRGenerative AI

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or a related quantitative discipline.
Master's degree in a related field is preferred.
At least 7 years of progressive experience in data science, analytics, machine learning, or artificial intelligence.
Previous leadership experience managing data science, analytics, or AI teams, including senior-level professionals.
Experience leading enterprise-scale AI and analytics initiatives from strategy through implementation and adoption.
Expertise in machine learning, advanced statistical modeling, predictive analytics, optimization techniques, and artificial intelligence.
Experience developing and operationalizing AI, machine learning, and advanced analytics solutions in enterprise environments.
Understanding of generative AI, large language models (LLMs), conversational AI, retrieval-augmented generation (RAG), and AI-enabled analytics platforms.
Proficiency in SQL, Python, R, and machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or LangChain.
Experience with cloud-based analytics and AI platforms and enterprise business intelligence tools such as Power BI or Tableau.
Familiarity with conversational analytics, natural language query technologies, MLOps, model deployment pipelines, and AI governance frameworks.
Experience establishing responsible AI practices, governance frameworks, and model risk management processes.

Lead, coach, mentor, and develop data scientists, analysts, and other technical professionals, including performance management, training, and career development.
Direct enterprise data science, AI, machine learning, and advanced analytics initiatives aligned with organizational priorities.
Drive AI for BI and conversational analytics capabilities, including natural language querying, AI-assisted reporting, insight discovery, and self-service analytics.
Oversee development, deployment, monitoring, and maintenance of machine learning, predictive analytics, generative AI, and optimization models.
Establish responsible AI standards, model lifecycle management practices, monitoring processes, and analytics governance frameworks.
Collaborate with business and technology stakeholders to identify AI, analytics, and automation opportunities.
Lead proofs of concept, pilot programs, and evaluations of emerging technologies and analytical methods.
Develop reusable analytics frameworks, standards, and assets, and oversee analytics platforms, tools, processes, data quality, and adoption.
Guide advanced statistical analysis and translate complex findings into actionable recommendations for business leaders.
Partner with data engineering, business intelligence, and technology teams on data readiness, model performance, and solution deployment.

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