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Data Application Manager - RIS

Job Description

The Transportation Planning and Management Division (TPM) is responsible for the safe, efficient, and environmentally responsible movement of people and goods on the City's streets, supporting the larger goals of economic and social vitality for people living, working, and doing business in New York City. The Division’s responsibilities include planning, street design, technical analysis, signs, transit development, freight mobility and markings, ensuring the safety of motor vehicle occupants, pedestrians, and cyclists. The Office of Research, Implementation & Safety (RIS) implements road safety street redesigns, programs and is also responsible for the management of DOT’s crash data, conducts large-scale safety research projects, is lead on many agency action plans and is the key agency group for Vision Zero programs and policy. This is an opportunity to work within RIS, a team dedicated to improving road safety and eliminating fatalities and serious injuries throughout New York City.

NYC DOT seeks to hire a driven Vision Zero Data Scientist to join the Data Operations, Systems, and Analytics unit. The team incorporates data engineering, data management, data analysis, and data solutions into a single group. We are the data specialists that ensure accuracy and efficiency for data analytics, data products, and insights that the agency relies on to accomplish its data driven mission. The successful candidate will develop data management systems, produce data products for operational units, analyze data and help develop research studies to inform policy for the City’s Vision Zero initiative, a multi-agency effort to reduce traffic fatalities and severe injuries in NYC. This role will be part of a dynamic team of data analysts and researchers that are responsible for informing the data driven inputs of Vision Zero and the general work of the Transportation Planning and Management division of NYC DOT.

The Data Application Manager will plan and perform research and analysis studies related to transportation safety efforts that will inform current and future policy, planning, and programs. This role will: provide analysis and data products agency leadership to inform Vision Zero policy, planning, and implementation; conduct data mining and analysis exercises; maintain vital databases; build predictive machine learning models; and contribute to ongoing data analysis efforts for tracking, prioritizing and evaluating agency initiatives. The selected candidate will have significant guidance but will be expected to supervise staff in conducting research and presenting data outputs to technical and non-technical audiences. This position will have the opportunity to develop methods and build on their current technical knowledge base in order to arrive at data-forward conclusions.

The candidate must be proficient in SQL, with PostGIS experience preferable, and have intermediate Python and GIS skills. Possession of advanced statistical analysis abilities and data visualization skills is also preferable. Candidate should have proven experience working with large diverse datasets. Interest in the Vision Zero transportation safety goals as well as technical ability will be sought out and tested.

The NYC DOT’s mission is to provide for the safe, efficient, and environmentally responsible movement of people and goods in the City of New York and to maintain and enhance the transportation infrastructure crucial to the economic vitality and quality of life of our primary customers, City residents.

Work Location:
55 Water Street, New York, NY

Hours/Shift:
9- 5 / 35 hrs.

Preferred Skills
The preferred candidate is well-organized and self-directed with excellent analytical and communication skills. The candidate should have: A background or demonstrable interest in planning and policy to advance safer, sustainable urban development. Demonstrated expertise in conducting research/investigations on specific problems by manipulating large datasets with use of SQL, GIS, and Python and/or other languages. Demonstrated experience and interest in advancing technical knowledge base in order to elevate research approach. Experience creating well-crafted analyses and visualizations. Proven track record of conducting quantitative and/or geospatial research.

Additional Information:
Note: Less than 2 yrs. - New Hire Rate: $84,087; 2 or more yrs. City service - Minimum Incumbent Rate: $90,680.
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37.


To Apply
All resumes are to be submitted electronically using one of the following methods:
Current employees, please log into Employee Self Service at https://hrb.nycaps.nycnet follow the Careers Link. Job ID #: 689682
All other applicants, go to www.nyc.gov/careers and search for Job ID # 689682
No phone calls, faxes or personal inquiries permitted.
Only those applicants under consideration will be contacted.
Most public libraries have computers available for use.
Note: New hires must reside in NYC for the first two years of employment. Appointments are subject to OMB approval.
For more information about DOT, visit us at: www.nyc.gov/dot.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Average salary estimate

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$90680K

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What You Should Know About Data Application Manager - RIS, City of New York

Are you passionate about making roads safer and fostering sustainable urban development? The NYC Department of Transportation is looking for a Data Application Manager for the Office of Research, Implementation & Safety (RIS) in New York City. In this dynamic role, you'll lead efforts to analyze transportation safety data, contributing to the city's Vision Zero initiative, which aims to eliminate fatalities and severe injuries on our streets. You'll be part of a talented team focused on gathering insights to inform critical policy and planning decisions. Your key responsibilities will include developing data management systems, conducting advanced data analyses, and producing insightful data products to assist agency leadership. Additionally, you will supervise staff engaged in research and be a pivotal figure in presenting your findings to a range of audiences. If you possess strong SQL proficiency, familiarity with PostGIS, and intermediate skills in Python and GIS, this is the perfect opportunity to apply your technical knowledge in a meaningful way. The ideal candidate will have a solid background in planning and policy associated with transportation safety, strong quantitative research abilities, and a flair for data visualization. So, if you're organized, self-directed, and eager to contribute to the well-being of NYC's residents, come join our mission to enhance transportation safety at NYC DOT. We can't wait to see how you can help us make a difference!

Frequently Asked Questions (FAQs) for Data Application Manager - RIS Role at City of New York
What are the primary responsibilities of a Data Application Manager at NYC DOT?

As the Data Application Manager at NYC DOT, you will play a key role in overseeing the development and management of data systems that directly support transportation safety efforts. You'll coordinate research and data analysis projects, produce essential reports for agency leadership, and maintain critical databases. Additionally, you'll supervise staff involved in research needs and help translate complex data findings for various stakeholders, ensuring that all outputs align with the Vision Zero initiative.

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What qualifications do you need to apply for the Data Application Manager position at NYC DOT?

To apply for the Data Application Manager position at NYC DOT, candidates should have a strong foundation in data analysis, particularly with SQL and experience with PostGIS. Proficiency in Python or other programming languages is necessary, alongside advanced statistical analysis and data visualization skills. A demonstrable interest in transportation safety and urban policy is also critical for successfully informing the Vision Zero initiative.

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How does the Data Application Manager impact Vision Zero initiatives at NYC DOT?

The Data Application Manager plays a significant role in advancing Vision Zero initiatives at NYC DOT by analyzing transportation data to identify trends and inform policy decisions that enhance road safety. By creating predictive models and conducting in-depth research, you will contribute valuable insights that guide agency strategies and programs aimed at reducing traffic fatalities and serious injuries throughout New York City.

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What kind of work environment can you expect as a Data Application Manager at NYC DOT?

As a Data Application Manager at NYC DOT, you'll work in a collaborative and inclusive environment dedicated to improving urban transportation safety. The role offers the flexibility of remote work up to two days per week, fostering a balanced work-life approach. The office culture encourages innovation, continuous learning, and significant contributions to critical safety initiatives, making it an exciting place for motivated professionals.

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What are the preferred skills and experiences for the Data Application Manager position?

Preferred candidates for the Data Application Manager position at NYC DOT should demonstrate strong analytical and organizational skills. Experience manipulating large datasets using SQL and GIS, as well as familiarity with Python, will be highly valued. Additionally, candidates should have a background in research, proven experience in quantitative analysis, and a keen interest in transportation policy and urban development.

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Common Interview Questions for Data Application Manager - RIS
Can you describe your experience with data visualization tools?

When answering this question, highlight specific tools you've used, such as Tableau or Power BI. Discuss projects where you translated complex data into intuitive visualizations and emphasize how these visuals aided decision-making processes, particularly in a transportation or safety context.

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How would you approach a new data analysis project related to transportation safety?

Explain your project approach by first defining clear objectives and understanding the data sources available. Discuss how you would gather relevant datasets, ensure data accuracy, and develop an analytical plan that includes statistical methods or machine learning models tailored for transportation safety assessments.

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What role does SQL play in your data management strategies?

Discuss your proficiency with SQL, emphasizing how it's essential for managing and querying datasets. Describe specific instances where you've utilized SQL for data extraction, manipulation, or reporting to drive insights in projects related to urban planning or safety.

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Could you provide an example of how you've utilized machine learning in a past project?

Here, detail a project where you employed machine learning techniques, explaining the problem you were solving, the data you worked with, and the models you developed. Highlight the outcomes and how they contributed to decision-making or policy formulation.

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How do you ensure the accuracy and reliability of your data analysis?

You can emphasize the importance of thorough data validation and verification processes. Discuss methods you use to cross-check data sources, apply statistical techniques to ensure accuracy, and implement documentation practices that maintain reproducibility.

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What challenges have you encountered in research projects, and how did you overcome them?

Mention specific challenges such as data quality issues or tight deadlines, and explain the strategies you implemented to navigate these obstacles. This could include collaborative solutions, adjusting project timelines, or leveraging additional resources.

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How do you communicate complex data findings to non-technical stakeholders?

Describe your approach to simplifying complex findings into digestible formats. This might include utilizing visual aids, crafting clear narratives, or adapting your communication style based on the audience to ensure they understand the implications of the data.

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What interests you about working for NYC DOT's Vision Zero initiative?

Reflect on your personal passion for transportation safety and urban development. Discuss how NYC DOT's commitment to reducing traffic fatalities aligns with your career goals and why you are excited to contribute to such meaningful work.

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How do you manage project deadlines and prioritize tasks as a Data Application Manager?

Discuss your organizational skills and methods for prioritizing tasks, such as creating project timelines, using task management tools, and employing effective communication within your team to manage expectations regarding deadlines.

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In your opinion, what is the future of transportation safety analytics?

Share your insights on emerging trends in transportation safety analytics, including advances in AI, data privacy considerations, and the growing importance of real-time data. Discuss how these developments could influence policy and improve safety outcomes in urban environments.

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Our Mission To work to eliminate ageism and ensure the dignity and quality-of-life of New York City’s diverse older adults, and for the support of their caregivers through service, advocacy, and education. Strategic Goals To foster independence...

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DATE POSTED
December 12, 2024

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