Senior AI & Analytics Manager — Operations

00001 Ameriprise Financial Inc; Minneapolis (MN); On-site; USD 131,000 - 180,000; Full time

Job summary

Ameriprise Financial Inc. seeks a Senior Data Scientist Manager to lead AI at scale within Operation Analytics. This role combines technical leadership with partner-facing influence, owning end-to-end delivery from problem framing to production deployment and insight generation.

You will guide data science initiatives, advance best practices, and collaborate across product and technology teams to drive measurable business impact in a regulated financial services environment.

Qualifications

• Master’s degree in a quantitative field.
• 5–7 years of analytics, machine learning, or applied AI experience.
• Strong foundation in statistics, predictive modeling, and ML.
• Proven experience with Python, SQL, ML frameworks and data visualization tools.

Responsibilities

• Design and implement AI/ML solutions addressing complex service and operations analytics problems.
• Translate business needs into analytical approaches by partnering with stakeholders.
• Oversee lifecycle of DS/AI solutions from framing to deployment and monitoring.
• Lead analytics strategy and enhance recommendation engines with product/tech teams.
• Ensure governance standards with enterprise policies and validation expectations.
• Mentor peers and advance data science best practices, exploring scalable automation.
• Deliver analytic strategy that yields measurable business impact.

Skills

Python

SQL

ML frameworks

Statistical analysis

Cloud platforms

Education

Master’s degree in quantitative discipline

Tools

AWS

Snowflake

Job description

Ameriprise Financial Inc. seeks a Senior Data Scientist Manager to lead AI at scale within Operation Analytics. This role combines technical leadership with partner-facing influence, owning end-to-end delivery from problem framing to production deployment and insight generation.

You will guide data science initiatives, advance best practices, and collaborate across product and technology teams to drive measurable business impact in a regulated financial services environment.