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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
Daniels Health Chicago, Illinois, USA Office
111 W Jackson Blvd, Chicago, IL, United States, 60604
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
