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Vp Remote Data & Analytics Jobs in Lime Ridge, PA

Lantern

Strategy Analyst

Bloomsburg, PA · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Geisinger Health

Senior AI Product Manager

Danville, PA · On-site +1

$144K - $191K/yr

You will work closely with data scientists, engineers, clinicians, and operational leaders to build ... Skills: Agile development methodologies and tools, AI Concepts, Analytical Skills (Inactive ...

Workiva

Spring 2027 Intern - Partnerships

Bloomsburg, PA · On-site +1

$21/hr

This role involves maintaining data integrity, evaluating partnership lifecycles, and assisting ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsVp Data & Analytics JobsVp Remote Data & Analytics JobsVp Remote Data & Analytics Jobs in Lime Ridge, PA

Vp Remote Data Analytics information

See Lime Ridge, PA salary details

$30.7K

$75.7K

$130.1K

How much do vp remote data & analytics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for vp remote data & analytics in Lime Ridge, PA is $75,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $89,700.00 per year, depending on experience, location, and employer.

What is the difference between Vp Remote Data & Analytics vs Data Analytics Manager?

AspectVp Remote Data & AnalyticsData Analytics Manager
CredentialsBachelor's or Master's in Data Science, Business, or related field; extensive experienceBachelor's or Master's in Data Science, Business, or related field; mid-level experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, data analysis execution
Employer & Industry UsageUsed in large corporations, tech firms, and industries with data-driven decision-makingCommon in mid to large organizations across various industries

The Vp Remote Data & Analytics typically holds a senior leadership role focusing on strategic data initiatives, while the Data Analytics Manager manages teams executing data projects. Both roles require strong analytical skills and industry experience, but the VP is more involved in high-level strategy and decision-making.

Can you work remotely in data and analytics?

Many data and analytics roles, including VP-level positions, can be performed remotely, especially with the use of collaboration tools and cloud-based data platforms. Remote work arrangements depend on company policies, the nature of the projects, and the need for in-person collaboration or data security measures.

What does a VP of data & analytics do?

A VP of Data & Analytics oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead teams of data scientists and analysts, develop data-driven insights, and implement tools like data warehouses and analytics platforms. This role requires strong leadership, strategic thinking, and expertise in data management and analytics tools.

What cities near Lime Ridge, PA are hiring for Vp Remote Data & Analytics jobs?

Cities near Lime Ridge, PA with the most Vp Remote Data & Analytics job openings:

Vp Remote Data Analytics jobs near you

Generative AI Automation Engineer - Remote Job

Bloomsburg, PA • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 22 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply