Data Science and Analytics Manager

Join a team that values your ambition and empowers your growth

At Corient, we help high‑ and ultra‑high‑net‑worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations, and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations. We are always looking for talented and motivated individuals to join our team.

If you want to work for a company that values your contributions and supports your growth, we would like to meet you.

• Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad‑hoc analysis. Establish consistent standards for data science and analytics development and documentation.
• Data solutions. Develop and maintain data solutions, such as descriptive, diagnostic, predictive, and prescriptive analytics focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain dashboards, recurring reports, and analytical outputs.
• Data quality assurance. Implement data validations to ensure integrity of data solutions. Ensure that data processes and outputs are robust, insightful, and timely.
• Ad‑hoc analytics and insights. Promptly address ad‑hoc analysis requests with clear, well‑structured outputs rooted in accurate data and focused on delivering actionable insights.
• Documentation. Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
• Cross‑functional data science and analytics support. Translate stakeholder needs into clear data specifications to meet business requirements. Act as a senior subject matter expert for enterprise analytics and reporting.

• 4-6+ years of experience in data science or analytics roles.
• 2-3+ years of experience managing teams and complex data environments.
• Background in Financial Services, consulting, or high‑growth technology environments preferred.
• Distinguished academic track record in a quantitative discipline.

• Proficiency in SQL, DBT, and Python in a data science context; proficiency in Tableau is a strong plus.
• Strong command of best practices for data modeling, data transformations, and data quality frameworks to support scalable, enterprise‑grade data products.
• Strong analytical, problem‑solving, and critical thinking skills.
• Effective communication, both orally and in writing.
• Strong documentation and attention to detail.
• Ability to work independently and collaboratively in a fast‑paced, dynamic environment, demonstrating strong organization, prioritization, and follow‑through.

• This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible.
• This position may require the ability to lift up to 15 pounds.
• This position is required to work onsite 4 days per week.

• Must be 18 years of age or older.
• Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization.
• Corient participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. If E‑Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.
  
  Employers can only use E‑Verify once you have accepted a job offer…