Executive Level / Full Time Remote Python Data Developer Jobs

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  • Lead Business Analyst

    Key Responsibilities: Lead analytics projects supporting the product portfolio and develop data models, dashboards, and reports Collaborate with cross-functional teams to identify business questions and provide actionable insights Ensure data accuracy...growth goals Qualifications: Bachelor's degree in Data Science, Math, Statistics, Computer Science, or a related field 6+ years of experience in business analytics, data science, or a related role Proficiency in data analytics tools such as SQL, Python

    SQL Python R Amazon SageMaker
  • VP of AI Development

    cross-functional AI team Integrate AI solutions into enterprise systems using APIs and event-driven methods Required Qualifications 5+ years in software/data/ML engineering with 2+ years working on AI/ML systems in production Experience with Agentic AI development...Proficiency in Python development Cloud experience (AWS/Azure/GCP) and exposure to containerization, CI/CD, or infrastructure-as-code Experience in mortgage or financial services

    AI Strategy API Integration AI Agents RAG Pipelines
  • Data Transformation Consultant

    Qualifications Extensive experience in data transformation consulting Familiarity with cloud providers such as Salesforce, Databricks, and Snowflake Hands-on experience in data integrations and modern data solutions Background in technical roles, such as developer...or data engineer Knowledge of GenAI and its applications in data modernization

    Data Transformation Data Landscape Clouds Salesforce
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  • Head of Account Management

    years of experience in account management, customer success, or partnerships, with 3+ years in a leadership role Experience designing and scaling account functions, including playbooks and systems Strong analytical skills with the ability to interpret data...and develop strategies Deep understanding of the Company, advertising, or tech ecosystem Ability to thrive in fast-paced, ambiguous environments

    Account Management Data Analysis Reporting Dashboards
  • Vice President of AI/ML Solutions

    Qualifications Minimum of 10 years of experience in AI/ML engineering, with at least 5 years in a leadership role Advanced knowledge of machine learning algorithms, deep learning, and AI frameworks Expertise in cloud platforms for deploying AI models and data...pipeline development Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field Strategic thinking and ability to manage diverse teams across various disciplines

    AI ML Text Analytics GenAI
  • Vice President of Data Solutions

    A company is looking for a VP - Business Development, Data Management, Reporting and Analysis.

    Data Management Reporting Analytics Business Intelligence
  • Project Portfolio Analyst

    Key Responsibilities Oversee project management systems and ensure data integrity for reporting Develop and deploy reporting and dashboards for resource and portfolio management Analyze project and portfolio data to provide insights and recommendations

    Data Analytics Financial Analysis Report Generation Dashboard Creation
  • VP of Revenue Operations

    Key Responsibilities: Develop and implement sales strategies in collaboration with cross-functional executive leadership Guide and develop a data-driven revenue operations team and manage Company sales forecasting and reporting Oversee the implementation

    Salesforce Sales Analytics Process Optimization SaaS
  • State Licensed Analytics Director

    Key Responsibilities Lead client-facing analytics and actuarial engagements, translating complex data into actionable recommendations Develop and govern actuarial methods to ensure compliance and deliver price-transparency based repricings Own P&L

    Analytics Actuarial Consulting Predictive Modeling Repricing Simulations
  • Stop Loss Insurance Consultant

    Responsibilities Collaborate with Complex Claims Specialty Practice and Carrier Partners to create innovative solutions that add value Research and evaluate carrier products and market trends to inform strategic recommendations Analyze Stop Loss business data...to identify trends and develop actionable strategies for Carrier Partners Required Qualifications Bachelor's Degree in Business or related field, or equivalent professional experience Minimum of 8 years in stop loss insurance underwriting, healthcare

    Healthcare Rating Financial Analysis Data Visualization Power BI