Data Science and Analytics Manager

Corient; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Corient in Austin, TX is seeking a Manager within our Data and AI Solutions team. You will lead a team delivering enterprise data science and analytics solutions, providing timely insights to stakeholders across functions and lines of business.

You will mentor analysts, standardize data science practices, and translate business needs into scalable data products. Excellent communication and documentation are essential in a fast-paced environment.

Qualifications

• Lead Data Science and Analytics team; manage dashboards, recurring reports, and ad-hoc analysis.
• Develop and maintain enterprise data solutions with dashboards and analytical outputs.
• Establish data quality practices and validations for robust, timely outputs.

Responsibilities

• Lead Data Science and Analytics team; manage dashboards, recurring reports, and ad-hoc analysis.
• Develop and maintain data solutions focused on enabling decision making, optimization, and measurable business impact.
• Implement data validations to ensure data integrity and reliability of outputs.
• Address ad-hoc analytics requests with clear, actionable insights rooted in accurate data.
• Maintain documentation of data sources, logic, transformations, and outputs.
• Translate stakeholder needs into clear data specifications for enterprise analytics and reporting.

Skills

SQL

Python

DBT

Tableau

Data modeling

Data transformations

Data quality

Analytical thinking

Communication

Documentation

Prioritization

Education

Quantitative discipline

Tools

None

Job description

As a Manager in our Data and AI Solutions team, you will be responsible for developing and maintaining enterprise data science and analytics solutions. You will lead a team that focused on delivering valuable and timely insights to key stakeholders across functions and lines of business.

Key Responsibilities

• 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.

Qualifications

• 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 highgrowth technology environments preferred.
• Distinguished academic track record in quantitative discipline.

Skills and competencies

• Proficiency in SQL, DBT, and Python in a data science context; proficiency in Tableau 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.