Director of IT, AI & Analytics
Philadelphia, Pennsylvania, United States
Medical Guardian
The Director of Information Technology, AI & Analytics, occupies a pivotal leadership role at Medical Guardian, driving strategic and operational data initiatives that support the company's objectives. This position not only leads our centralized data team but also directs the enhancement of our data infrastructure, the expansion of our data warehouse, advanced analytics, AI product development, and automation initiatives—including the design and deployment of AI agents, custom LLM pipelines, and scalable automation frameworks to maintain and extend our market leadership.
Key Responsibilities:
- Strategic Analytics Leadership: Guide the strategy and execution of advanced analytics and AI product development initiatives that impact core business metrics and enhance decision-making processes across the organization.
- Architect and Manage Data Systems: Oversee the development and management of scalable, AI-ready data infrastructure and pipelines. Ensure seamless integration with data warehouses and automated reporting systems.
- Data Governance Leadership: Establish and enforce robust data governance practices to maintain data integrity, ensure privacy, and comply with regulatory requirements such as CCPA and HIPAA. This includes implementing policies that control data access and auditing processes to secure data across all platforms.
- Business Collaboration: Collaborate closely with business units and leaders to define and support key performance indicators (KPIs) and metrics that optimize business operations.
- Advanced Data Analysis Initiatives: Utilize deep analytics to provide insights that drive decision-making and identify opportunities for operational improvements.
- AI-Driven Solutions Development: Lead the design, development, and deployment of AI agents, machine learning models, and intelligent automation systems across customer service, internal operations, and product workflows.
- Data Product Innovation: Develop and implement data strategies and products that align with the company’s objectives and drive competitive advantage, ensuring compliance with data governance standards.
- Integration of AI in Business Processes: Drive enterprise-wide process automation and AI integration efforts, including LLM-driven document processing, conversational interfaces, and predictive analytics solutions.
- AI Strategy and Policy Development: Develop and manage budgets for data operations and technology enhancements with the VP of IT and define key performance indicators for the data and analytics function.
- Scaling AI and Analytics Capabilities: Foster a culture of continuous learning and innovation within the data team, manage hiring, training, and professional development of staff.
- AI Software Development Oversight: Lead development of custom AI software tools, including internal copilots, chatbots, and auto-reporting assistants using LLMs (e.g., OpenAI, Claude, Gemini) and frameworks like LangChain or Haystack.
- Automated Reporting Frameworks: Build end-to-end automated reporting systems leveraging Python/R, SQL, dbt, and BI tools like Power BI or Looker to deliver actionable dashboards and reduce manual data operations.
Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related fields.
- Professional Experience: At least 7 years of experience in data management and analytics, with a robust background in data engineering, AI technologies, and managing data warehouses. Demonstrated experience leading AI development teams or launching AI/ML products in production environments.
- Technical Skills: Proficiency in modern data tools (dbt, Power BI), SQL, and programming (Python, R). Experience with cloud data platforms (AWS, Azure, Google Cloud) Experience with LLM APIs (e.g., OpenAI, Anthropic), MLOps tools (e.g., MLflow, Vertex AI), and AI development libraries (e.g., LangChain, HuggingFace, Scikit-learn, TensorFlow, PyTorch).
- Leadership and Communication: Excellent leadership and communication skills, capable of strategic planning and team management.
- Visionary Leadership: Proven ability to envision and drive technology-based initiatives that meet business needs and enhance competitive edge.
- Compliance and Governance: Strong understanding of data governance, CCPA, HIPAA, and compliance requirements.
Work Hours and Travel Requirements:
You must be open to assisting in troubleshooting and analysis in the event of off-hours production problems, as needed. The IT Team works in a hybrid environment that requires a minimum of two days per week in the Philadelphia office.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Paid Time Off (Vacation, Sick Time Off & Holidays)
- Company Paid Short Term Disability and Life Insurance
- Retirement Plan (401k) with Company Match
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Anthropic APIs AWS Azure Chatbots Claude Computer Science Data analysis Data governance Data management DataOps Data warehouse dbt Engineering GCP Gemini Google Cloud Haystack HuggingFace KPIs LangChain LLMs Looker Machine Learning MLFlow ML models MLOps OpenAI Pipelines Power BI Privacy Python PyTorch R Scikit-learn SQL Statistics TensorFlow Vertex AI
Perks/benefits: 401(k) matching Career development Flex vacation Health care Insurance
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