What are the responsibilities and job description for the Director Of Data Solutions position at RadNet?
Responsibilities
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of our success is its people with the commitment to a better healthcare experience. When you join us as a Director of Data Solutions, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
You Will
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of our success is its people with the commitment to a better healthcare experience. When you join us as a Director of Data Solutions, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
You Will
- Develop and execute a unified data solutions strategy that aligns with RadNet’s goals, fostering collaboration across RadNet and commercial partners.
- Architect adaptable and efficient data systems utilizing a broad ecosystem of tools and technologies for enterprise and adaptive warehousing, diverse analytical workloads, and performance optimization.
- Leverage advanced knowledge of BI platforms (e.g., PowerBI, Looker, Tableau) and databases (e.g., SQL Server, PostgreSQL, MongoDB) to build scalable, secure, and innovative data solutions.
- Design systems capable of integrating and processing structured, semi-structured, and unstructured data to meet diverse workload demands, including AI and ML.
- Implement and optimize PolyBase, PostgreSQL extensions, and other comparative technologies to enhance data access and interoperability.
- Lead research and development initiatives to create analytical models, workflows, and algorithms tailored to RadNet’s internal operational needs.
- Partner with digital health teams to adapt data workflows, algorithms, and tools for client-facing applications, driving proof-of-concept (POC) initiatives.
- Lead BI initiatives to deliver actionable insights through application and operational reporting.
- Oversee advanced analytics models to support organizational decision-making.
- Mentor and develop a multidisciplinary team of data engineers, BI professionals, and R&D specialists. Foster a culture of innovation, collaboration, and continuous learning.
- Ensure all data systems and processes adhere to healthcare data privacy regulations and governance standards. Develop and enforce policies for data security, quality, and compliance.
- Genuinely passionate about customer service and exercise sound judgement and an ability to remain professional in all situations
- Able to demonstrate high level of attention to detail, excellent organizational skills and have the ability to multitask
- Able to thrive in a fast-paced environment, have a knack for prioritizing work with a structured approach, and enjoy providing world class customer service
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
- 10 years of experience in data engineering, analytics, or architecture, including 5 years in a leadership role.
- Extensive knowledge of data management best practices, data integration patterns, and data quality principles
- 8 years of experience with database systems, SQL, and programming languages such as Python, Java, C#, R, MDX, DAX
- Proficiency in integrating and optimizing diverse data types (structured, semi-structured, and unstructured) for analytical, AI, and ML workloads.
- Expertise in advanced data tools (e.g., PolyBase, PostgreSQL extensions) and BI platforms (e.g., PowerBI, Looker, Tableau).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and Big Data technologies.
- Background in API development and scripting languages (Python, R) for advanced analytics and BI.
- Excellent communication and teamwork skills.
- In addition to the above qualifications, experience with SSMS, SSIS, SSAS, SSRS and Self-Service BI tools are highly recommended.