Assistant Director, Data & Analytics – Cancer Center

NYU Langone Health is a world-class, patient-centered, integrated academic medical center, known for its excellence in clinical care, research, and education. It comprises more than 200 locations throughout the New York area, including five inpatient locations, a children’s hospital, three emergency rooms and a level 1 trauma center. Also part of NYU Langone Health is the Laura and Isaac Perlmutter Cancer Center, a National Cancer Institute designated comprehensive cancer center, and NYU Grossman School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to nyulangone.org, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Assistant Director, Data & Analytics – Cancer Center.

The Assistant Director will be responsible for interacting with the cancer center, medical center, and health system administration to oversee the data and analytics practice of the Perlmutter Cancer Center throughout the NYU Langone Health System. This high-visibility role will represent PCC Analytics at Leadership meetings and serve as a trusted advisor to operations and clinical teams. It will support the Director with the provision of clinical and operational information and analysis for all levels of management in support of clinical and operational objectives, cost management opportunities, and clinical program evaluation. In this regard, manages large and complex databases and is responsible for developing and maintaining standard and ad hoc reports per customer needs. This role will serve as a subject matter expert and strategic operator to ensure effective and informed decision making by senior leadership.

Job Responsibilities:

• Oversee data collection, maintenance, and verification from clinical and operational systems and evaluate the data for reasonableness.
• Support partnership between other clinical and operational departments to improve information reporting. Responsible for understanding and communicating relevant clinical and operational issues.  Foster and demonstrate collaborative relationships with other disciplines
• Work closely with leadership to prioritize the team’s efforts to drive enterprise-centric outcomes that are aligned with the institution’s strategic roadmaps.
• Participate as a fundamental guiding member in joint decision-making for enterprise initiatives related to data analytics
• Communicates clearly and concisely with customers at all levels, including physicians, nurses, and Senior Leadership
• Proactively identifies and relays to leadership areas of potential improvement for the organization.
• Supports the development and analysis of data from various sources.
• Serve as the key liaison with the strategy and operations teams for data and analytics initiatives while providing regular updates and insights to leadership.
• Support the professional development of team members through training, mentorship, and performance feedback
• Sets timelines and deliverables for analysts on key deliverables & analyses
• Designs strategic roadmap for expansion of Perlmutter Cancer Center analytics
• Collaborates with the research teams to ensure parity with NYU PCC Data Hub and operational reporting
• Monitors accuracy and coherence of metric definitions and results
• Proactively defines and develops key data points and reporting to expand team and department capabilities
• Works collaboratively with other analytic teams and the Medical Center Information Technology (MCIT) teams
• Performs other duties as assigned

Minimum Qualifications:
To qualify you must have a Bachelor’s and masters degree (or equivalent work experience) in business, healthcare administration, statistics, computer science, analytics, or related field and at least five years of supervision and managerial experience overseeing analytics teams in a large hospital setting or related field. Must have leadership expertise, time management skills, and ability to work well under pressure. Experience working with large data sets and related IT systems. Coding experience in at least 2 query languages

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents.

NYU Langone Health is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Langone Health’s EEO policies, please click here. Please click here to view the Federal “EEO is the law” poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $97,589.96 – $162,649.75 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here