Quest Diagnostics - Lyndhurst, NJ
posted about 1 month ago
Full-time - Senior
Lyndhurst, NJ
Ambulatory Health Care Services
About the position
The Senior Director, Customer Data Analytics and Data Science at Quest Diagnostics is a strategic leadership role focused on developing and delivering data and analytics solutions to enhance healthcare outcomes across various markets. This position involves leading a team of data professionals to create impactful analytical insights, predictive models, and visualizations, while collaborating with multiple departments to align analytics solutions with product roadmaps and customer expectations.
Responsibilities
- Provide leadership and management to a team of data scientists, data analysts, and dashboard developers.
- Manage and optimize the creation and delivery of data licensing, analytics, and dashboard products.
- Build, mentor, and lead a high-performing team fostering innovation and career growth.
- Champion best practices in data governance, security, and regulatory compliance.
- Partner with HAS leadership and other teams to drive innovation and growth in support of the business strategy.
- Establish consistent processes to support product and revenue growth.
- Coordinate with the Quest Technology Organization to improve the data science development environment.
- Collaborate to develop and promote best practices for data management and ETL.
- Test and ensure solutions yield high-quality results in accordance with quality standards.
- Document and communicate objectives, requirements, and designs to technical and non-technical audiences.
- Create and manage operating costs, capital, schedule, and human resources costs of proposed solutions.
- Support a culture of continuous improvement.
Requirements
- Advanced degree in engineering, science, mathematics, or related field.
- Minimum of 12 years of relevant experience in big data, analytics, machine learning, and predictive modeling.
- Minimum of 5 years of experience in data preparation, management, and delivery.
- Demonstrated experience creating and managing workflow and delivery processes.
- Minimum of 5 years of experience managing remote teams with leadership and project management skills.
- Expert knowledge in developing analytics solutions in a cloud environment using modern data science tools.
- Knowledge of SAS tools (SAS Studio, SAS Enterprise Guide, etc.).
- Expert knowledge of machine learning and data visualization tools in business contexts.
- Experience leading advanced analytics and machine learning projects through the full lifecycle.
- Successful application of advanced quantitative analyses and statistical modeling.
- Experience with scripting languages and rapid prototyping skills (SQL, Python, etc.).
- Skill in statistical and modeling packages such as SAS, R, and Matlab.
- Ability to summarize results from analysis to diverse audiences.
- Experience with time-series data and methods such as regression and classification.
- Experience with Deep Learning tools like TensorFlow.
Nice-to-haves
- Cloud certification preferred.
- Experience in full software life cycle development, primarily in agile delivery.
Benefits
- Health insurance coverage
- 401k retirement savings plan
- Paid holidays
- Flexible scheduling
- Professional development opportunities
