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Vice President – AI and Technology
Job Location: 305 Franklin Street, Columbus, Indiana 47201, and various unanticipated worksites throughout the U.S.
Duties
LHP Data Analytic Solutions, LLC seeks a Vice President – AI and Technology in Columbus, Indiana, and various unanticipated worksites throughout the U.S. Telecommuting is permitted 100% of the time.
Duties:
- Lead, contribute to, and support the design, development, testing, and deployment of solutions across full, all-inclusive, internal, and customer stacks (web, front-end, controllers, APIs, middleware, data engineering, database, back-end, cloud, AI/ML, hardware engineering, DevOps, CI/CD)
- Define and drive AI and technology strategy, including technology roadmaps for data platforms, process and workflow technology, ML and AI, and cloud architecture
- Analyze and resolve complex technical development problems and delivery needs, including performance, scalability, security, and reliability challenges
- Work with customer product management and leadership teams to architect, implement, and evolve offerings that leverage data analytics and AI/ML
- Drive and execute development requirements from product backlogs and roadmaps, ensuring alignment with business priorities
- Assist in product roadmap development and user story creation based on customer feedback, industry trends, and strategic goals
- Advise on and promote industry’s best practices and common application patterns across business areas (healthcare, energy, manufacturing, supply chain, corporate finance, health and safety, and facilities)
- Oversee the design and implementation of data pipelines, feature engineering, model training, deployment, monitoring, and MLOps practices
- Ensure solutions comply with standards and regulations, including data privacy, security, and reliability
- Train customers on delivered solutions, including analytics and AI/ML capabilities, and support change management and successful implementation
- Communicate with technical and non-technical stakeholders, translating complex concepts into clear, actionable information
- Manage teams of software engineers, data engineers, data scientists, and DevOps engineers to deliver products and solutions
- Recruit, develop, and motivate teams of technical engineers and data professionals
- Establish and promote engineering best practices (code quality, testing, CI/CD, documentation, observability) and a culture of continuous improvement
- Collaborate with sales, account management, and leadership to support pre-sales activities, proposals, estimates, and high-level solution designs
Requirements
Master’s degree (or foreign equivalent degree) in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Information Systems, or a related field, and 5 years of experience in a software engineering, data engineering, cloud architecture, or computer and information systems management position, or combination, working in the design, development, implementation, or management of software, data analytics, or AI-driven technology solutions.
Must have 5 years of experience in each of the following:
- Business processes and design solutions for manufacturing, consumer, and healthcare domains
- At least one major cloud platform (Microsoft Azure, AWS, or GCP), including computer services, containers, databases and data warehouses, data pipeline services, networking, security and key management, storage services, IoT platforms, Web and API services, and AI/ML platforms
- Designing and implementing data pipelines, ETL/ELT processes, data models, and analytics solutions;
- AI and ML (designing, training, validating, and deploying ML models (classification, regression, clustering, time-series, or recommendation systems)
- applying data science and statistical methodologies to real-world business problems;
- AI/ML frameworks of libraries (TensorFlow, PyTorch, scikit-learn, or equivalent)
- RAG systems
- MCP servers
- cloud-based LLM API integration (OpenAI, Copilot)
- Building enterprise Windows applications using Microsoft programming languages (WinForms, WPF, and UWP)
- Mobile application development, deployment, and App Store/Google Play submissions
- Building and integrating web front-end framework applications (Angular and React), web frameworks (Flask and Spring Boot), and APIs using programming languages (C#, Java, Python, TypeScript, and JavaScript)
- Integrating software systems with IoT devices, embedded systems, telematics platforms, and sensor and edge-device data collection environments
- Industrial IoT development using Ignition
- Hardware engineering with ESP32, telematics platforms, and embedded controllers
- DevOps practices and tools, including CI/CD pipelines, configuration management, and monitoring and observability platforms
- Developing digital products or technology solutions, from concept through deployment and scaling
- Product management concepts, including product lifecycle management, prioritization methodologies, and product roadmap development
- Developing technical documentation (architectural documentation, technical standards, technical white papers, and scientific publications)
Must have an architecture certification in one major cloud platform (Microsoft Azure Fundamentals, AWS, or GCP).
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