Senior AI Engineering Leader: Data-Driven Decisions

PwC; New York (NY); On-site; USD 125,000 - 322,000; Full time

Job summary

PwC is hiring a Senior Manager in CTIO - AI Engineering to transform raw data into insights and drive data-driven decisions across Internal Firm Services. You will lead teams in analytics, descriptive/exploratory analysis, and predictive modeling while coaching others to deliver high-quality results.

Responsibilities include deploying ML algorithms, validating outcomes with clients, and maintaining data quality across analytics frameworks.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 7+ years of experience in data science or analytics.

Responsibilities

• Lead design and development of advanced data solutions to transform raw data into actionable insights.
• Drive data-driven decision-making through exploratory and descriptive analysis and statistical modeling.
• Manage complex data analysis and create data visualizations to inform strategic decisions.
• Oversee implementation of machine learning algorithms and predictive modeling techniques.
• Collaborate with clients to validate outcomes and incorporate feedback into data solutions.
• Direct teams through complexity while maintaining composure in challenging situations.
• Apply systems thinking to identify underlying problems and opportunities within data sets.
• Coach and motivate diverse teams to achieve operational excellence in data science initiatives.
• Innovate processes to enhance data quality and integrity across analytics frameworks.
• Utilize programming languages and ML libraries to optimize data workflows and pipelines.

Skills

Data science

Machine learning

Statistical modeling

Leadership

Data visualization

Systems thinking

Education

Bachelor's degree

Job description

PwC is hiring a Senior Manager in CTIO - AI Engineering to transform raw data into insights and drive data-driven decisions across Internal Firm Services. You will lead teams in analytics, descriptive/exploratory analysis, and predictive modeling while coaching others to deliver high-quality results.

Responsibilities include deploying ML algorithms, validating outcomes with clients, and maintaining data quality across analytics frameworks.