Data Science Manager, AI & Client Analytics Leader

00001 Ameriprise Financial Inc; Minneapolis (MN); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Ameriprise Financial is seeking a Data Scientist Manager to join Client Analytics. This senior individual contributor role leads technical and analytical efforts, owning complex problems from design through production deployment and delivering data‑driven recommendations for clients and advisors.

You will guide AI/ML initiatives at scale, collaborate with business stakeholders to define success, ensure governance, and mentor peers while staying current with AI advances and industry best

Qualifications

• Master’s degree in quantitative discipline (i.e., Data Science, Statistics, Computer Science, Mathematics, Economics or a related field).
• 3-5 years of relevant experience delivering advanced analytics, machine learning, or applied AI solutions.
• Strong foundation in statistics, predictive modeling, and machine learning.
• Proven experience with modern data science tools, data visualization tools, and programming languages (e.g., Python, SQL, ML frameworks).
• Experience working in cloud‑based platforms, preferably AWS or Snowflake.
• Proven ability to independently own complex problems and deliver production‑ready solutions.
• Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
• Ability to work effectively in a collaborative team environment and support multiple projects at one time.

Responsibilities

• Design and implement AI and machine learning solutions that address complex, real-world business problems across client and advisor analytics, using statistical analysis, forecasting, predictive modeling, machine learning, and GenAI.
• Translate ambiguous business needs into clear analytical approaches by partnering with business stakeholders to frame problems, define success measures, develop hypotheses, and communicate actionable insights and recommendations.
• Support the full lifecycle of data science and AI solutions from problem framing, data exploration, and feature engineering through model development, validation, deployment, monitoring, and continuous improvement.
• Lead the analytics strategy and ongoing enhancement of the field-facing recommendation engine, partnering closely with product and technology teams to develop, maintain, monitor, and improve recommendation solutions that support personalization, prioritization, and business decision‑making.
• Ensure solutions meet data, model, and AI governance standards by applying enterprise policies, responsible AI practices, validation expectations, documentation standards, and ongoing performance monitoring.
• Serve as a technical leader and thought partner by advancing data science best practices, identifying opportunities for scalable and automated solutions, mentoring peers through knowledge sharing, and staying current on emerging AI, machine learning, and analytics techniques.

Skills

Statistics & ML

Python/SQL/ML frameworks

Cloud platforms (AWS/Snowflake)

Data science leadership

Communication of technical concepts

Education

Master’s degree in quantitative discipline

Job description

Ameriprise Financial is seeking a Data Scientist Manager to join Client Analytics. This senior individual contributor role leads technical and analytical efforts, owning complex problems from design through production deployment and delivering data‑driven recommendations for clients and advisors.

You will guide AI/ML initiatives at scale, collaborate with business stakeholders to define success, ensure governance, and mentor peers while staying current with AI advances and industry best