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
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