Role Overview
The Director of Data BI & AI will be responsible for defining and executing Daniels Healths 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 Healths business goals and operational priorities
Partner with executive to define and track strategic KPIs 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 Healths 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