Role Overview

The Director of Data, BI & AI will be responsible for defining and executing Daniels Health’s enterprise data and analytics strategy. This leader will oversee our data governance framework, business intelligence platforms, and the integration of AI/ML technologies that improve operational performance, automate processes, and uncover new insights. You will lead a multidisciplinary team of data engineers, BI developers, data scientists, and analysts – empowering every function at Daniels to make faster, evidence-based decisions. Your work will directly influence our ability to serve healthcare partners with excellence, efficiency, and innovation.

What you will do

Strategic Leadership

·       Develop and deliver a global, Data, BI & AI strategy aligned with Daniels Health’s business goals and operational priorities

·       Partner with executive to define and track strategic KPI’s, providing visibility into performance across commercial, operational, and clinical functions

·       Establish and lead a Data Governance Council, promoting data integrity, compliance, and transparency across regions

Data & BI Excellence

·       Oversee design and deployment of enterprise BI platforms (e.g., Power BI) to deliver accurate and accessible reporting for all business units

·       Lead modernization of data infrastructure and cloud-based analytics environments (e.g., Azure).

·       Partner with IT and business stakeholders to unify data sources and automate data piplines for scalability and accuracy

Artificial Intelligence & Automation

·       Identify and lead AI and machine learning initiatives that optimize logistics, forecasting, pricing, and asset utilization

·       Partner with operations and commercial teams to implement AI-powered automation, such as route optimization, predictive maintenance, and intelligent reporting

·       Establish Daniels Health’s AI governance framework to ensure ethical, responsible, and secure use of artificial intelligence

·       Drive exploration of emerging technologies (e.g., generative AI, computer vision, NLP) to enhance business and customer outcomes

Team & Culture

·       Build, lead, and mentor a high-performing data and analytics team with a focus on innovation, collaboration, and continuous improvement

·       Foster a culture of curiosity and experimentation – encouraging teams to explore how data and AI can solve real business challenges

·       Collaborate cross-functionally to translate complex data concepts into clear business impact stories

Skills & Qualifications

·       10+ years of progressive experience in data analytics, business intelligence, or enterprise data management

·       5+ years of leadership experience building and scaling high-[performing data and BI teams

·       Demonstrated success implementing AI, machine learning, or automation initiatives in an enterprise environment

·       Deep understanding of modern data stacks (ETL, cloud data warehouses, APIs) and BI tools

·       Experience with Databricks (e.g., Delta Lake, Apache Spark, MI flow, or SQL Analytics) in a data lakehouse environment

·       Proficiency in SQL, data modeling, and data governance best practices

·       Strong business acumen with the ability to bridge data strategy and operational execution

·       Experience in healthcare, manufacturing, logistics, or service industries preferred