Senior Director of Data, BI and Engineering

<h3>Position Summary</h3> <p>The Senior Director of Data, BI and Engineering has primary responsibility for setting the strategy and vision and overseeing the ongoing duties of the Business Intelligence/Data Analytics (BI/DA) Team. This role will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with BI/DA.</p> <p>The role is ideal for ambitious and self-motivated individuals who want to build a new team that can have a transformational impact in a fast-growing enterprise. The Senior Director of Data, BI and Engineering will lead their teams by establishing and executing a vision for delivering information and analytics platforms and solutions to the business’s key stakeholders, including internal staff, partners, and clients.</p> <h3>Duties and Responsibilities</h3> <p>The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties.</p> <ul> <li><strong> </strong>Establish data-driven KPI and Operational Performance dashboard across the enterprise.</li> <li><strong> </strong>Lead the BI competence center/COE/Claude skills for accelerating visualization creation. <ul> <li>Foundational analytics</li> <li>Advanced/predictive analytics</li> <li>Claude skills</li> </ul> </li> <li><strong> </strong>Establishing a BI/Data/GPT/RAG/Machine Learning roadmap. <ul> <li>Data exploration, visualization, reporting</li> <li>Self-service reporting framework</li> <li>Data/Information delivery</li> <li>Use of RAG and improvement of the RAG models</li> </ul> </li> <li><strong> </strong>Data Management <ul> <li>Data governance</li> <li>Data preparation – sources and integration</li> <li>Data warehousing</li> </ul> </li> <li><strong> </strong>Machine Learning & AI <ul> <li>Familiarity with Claude generated visualization and its operationalization.</li> <li>Expertise in the AI focused tech stack including SQL and relational databases, Python, RAGs, knowledge graphs, learning systems, unstructured datasets and document stores, LLMOps and ML Ops tools, agentic based AI frameworks, multimodal AI.</li> <li>Oversee the transition of models from prototypes to reliable production environments. Understand the end-to-end lifecycle of an ML model, including continuous integration and continuous deployment (CI/CD) for data. Continuously monitor models for reliability, laten