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Director of Data, Business Intelligence, and AI
Danielshealth
- United States
- United States
Über
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 pipelines 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 $151,129 - $225,147 a year The pay range for this position is $151,129 to $225,147 total package. Actual compensation within this range will depend on factors unique to each candidate, such as prior experience, skill, certifications, and work location. Pay variations by location reflect local conditions and differences in the cost of labor. At Daniels Health, we are committed to supporting our employees’ well-being, work‑life balance, and career growth through a comprehensive benefit package. Eligible employees enjoy benefits such as medical, dental, and vision insurance, retirement savings plans with company match contributions, paid vacation and sick time, wellness resources, life insurance, and professional development opportunities.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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